---
title: "Elamur Research Paper Stars"
description: "The hall of fame of Elamur Research: 5,310 authors ranked by the citations of their works, OpenAlex plus our library; updated 2026-10-23."
canonical: "https://research.elamur.ai/free/en/paper-stars/"
---
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# Elamur Research Paper Stars

Every library has its stars. ⭐ Here they are the scientists whose works in our library are cited the most: the hall of fame of the papers we read, summarise and link, with everyone who has an author page in one long ranking. 🏆 The ranking never sits still — it is worked out again with every build of the site, so a new paper or a new citation can move anyone up.

5,310 authors ranked · updated 2026-10-23 · 100 a page · [all authors by letter](https://md.research.elamur.ai/free/en/authors/)

## How the score is made

- **The score** of an author is the sum, over their works in our library, of each work's citations counted by OpenAlex plus the papers of our own library that cite it.
- **Who is ranked:** everyone with an author page here — 5,310 authors today.
- **Ties** go to the author with more works here, then by name.
- **Only the works in our library count**, so the score is a person's footprint in this library, not their whole career; their profile names their OpenAlex totals.
- **Always moving:** the ranking is computed anew every time the site is built, as new papers, authors and citations join the library. Last update: 2026-10-23.

## 🏆 The top ten

1. 🥇 **#1** [Ross Girshick](https://md.research.elamur.ai/free/en/authors/ross-girshick/) **122,120** points = 116,543 OpenAlex citations + 5,577 in our library · h-index 84 · 10 works here 🏛️ [Allen Institute for Artificial Intelligence](https://md.research.elamur.ai/free/en/labs/allen-institute-for-artificial-intelligence/) [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 2 · [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/) 1 Ross Girshick works in computer vision, above all on object detection, segmentation and learning visual features from images. The papers here trace a line from detectors that classify candidate regions with convolutional networks, through faster and denser detectors, to large-scale pre-training of vision models without labels. [The profile and all 10 works →](https://md.research.elamur.ai/free/en/authors/ross-girshick/)
2. 🥈 **#2** [Kaiming He](https://md.research.elamur.ai/free/en/authors/kaiming-he/) **80,216** points = 77,996 OpenAlex citations + 2,220 in our library · h-index 78 · 4 works here 🏛️ [Massachusetts Institute of Technology](https://md.research.elamur.ai/free/en/universities/massachusetts-institute-of-technology/) [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 2 Kaiming He works in computer vision on deep networks for recognising and locating objects and on learning image features without labels. The four papers here cover two themes: object detectors that are faster or easier to train, and self-supervised pre-training that lets a vision model learn from unlabelled images before it is adapted to a task. [The profile and all 4 works →](https://md.research.elamur.ai/free/en/authors/kaiming-he/)
3. 🥉 **#3** [Karen Simonyan](https://md.research.elamur.ai/free/en/authors/karen-simonyan/) **79,123** points = 77,203 OpenAlex citations + 1,920 in our library · h-index 49 · 3 works here 🏛️ [University of Oxford](https://md.research.elamur.ai/free/en/universities/university-of-oxford/) [Speech & spoken language](https://md.research.elamur.ai/free/en/topics/speech/) 1 · [Interpretability](https://md.research.elamur.ai/free/en/topics/interpretability/) 1 Karen Simonyan works on deep neural networks for images and sound. The three papers in this library deal with how the depth of a convolutional network affects image classification, how such a classifier can be inspected after training, and how a deep generative network can produce raw audio one sample at a time. [The profile and all 3 works →](https://md.research.elamur.ai/free/en/authors/karen-simonyan/)
4. ⭐ **#4** [Christopher D. Manning](https://md.research.elamur.ai/free/en/authors/christopher-d-manning/) **75,625** points = 47,583 OpenAlex citations + 28,042 in our library · h-index 139 · 79 works here 🏛️ [Stanford University](https://md.research.elamur.ai/free/en/universities/stanford-university/) [Universal Dependencies](https://md.research.elamur.ai/free/en/topics/universal-dependencies/) 11 · [Coreference resolution](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) 6 · [Dependency parsing](https://md.research.elamur.ai/free/en/topics/dependency-parsing/) 6 · [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/) 6 · [Treebanks](https://md.research.elamur.ai/free/en/topics/treebanks/) 4 Christopher D. Manning works across natural language processing, from part-of-speech tagging and syntactic parsing to question answering, word representations and the analysis of neural language models. [The profile and all 79 works →](https://md.research.elamur.ai/free/en/authors/christopher-d-manning/)
5. ⭐ **#5** [Andrew Zisserman](https://md.research.elamur.ai/free/en/authors/andrew-zisserman/) **74,194** points = 72,409 OpenAlex citations + 1,785 in our library · h-index 174 · 3 works here 🏛️ [University of Oxford](https://md.research.elamur.ai/free/en/universities/university-of-oxford/) [Interpretability](https://md.research.elamur.ai/free/en/topics/interpretability/) 1 Andrew Zisserman works in computer vision and machine learning. The three papers in this library show recurring questions about deep networks for perception: how network depth shapes image recognition, how to see what a trained classifier has learned, and how one architecture could handle many kinds of input rather than images alone. [The profile and all 3 works →](https://md.research.elamur.ai/free/en/authors/andrew-zisserman/)
6. ⭐ **#6** [David Cournapeau](https://md.research.elamur.ai/free/en/authors/david-cournapeau/) **61,908** points = 61,132 OpenAlex citations + 776 in our library · 2 works here David Cournapeau works on open-source software for scientific computing in Python. The two papers here describe libraries that much numerical research in Python is built on: the array layer at the bottom of the stack and the collection of standard numerical algorithms placed on top of it. Both are written as reference descriptions of community projects, covering their history, design and scope. [The profile and all 2 works →](https://md.research.elamur.ai/free/en/authors/david-cournapeau/)
7. ⭐ **#7** [Pauli Virtanen](https://md.research.elamur.ai/free/en/authors/pauli-virtanen/) **61,908** points = 61,132 OpenAlex citations + 776 in our library · h-index 29 · 2 works here 🏛️ [University of Jyväskylä](https://md.research.elamur.ai/free/en/universities/university-of-jyvaskyla/) Pauli Virtanen works on scientific computing in Python as a contributor to its core open-source libraries. The two papers in this library are reference descriptions of SciPy and NumPy, the packages that supply arrays and standard numerical algorithms to a large share of research code written in the language. They cover how each project began, how it is designed and what it now includes. [The profile and all 2 works →](https://md.research.elamur.ai/free/en/authors/pauli-virtanen/)
8. ⭐ **#8** [Ralf Gommers](https://md.research.elamur.ai/free/en/authors/ralf-gommers/) **61,908** points = 61,132 OpenAlex citations + 776 in our library · h-index 15 · 2 works here Ralf Gommers works on open-source scientific software in Python. The two papers in this library describe NumPy and SciPy, the libraries that provide arrays and core numerical routines to much of the research code written in Python, and they document how these community projects started, how they are organised and what they cover. [SciPy 1.0](https://md.research.elamur.ai/free/en/papers/virtanen-2019-scipy-1-0-fundamental-algorithms/) (2019) marks the first major SciPy release. [The profile and all 2 works →](https://md.research.elamur.ai/free/en/authors/ralf-gommers/)
9. ⭐ **#9** [Stéfan J. van der Walt](https://md.research.elamur.ai/free/en/authors/stefan-j-van-der-walt/) **61,908** points = 61,132 OpenAlex citations + 776 in our library · 2 works here Stéfan J. van der Walt works on open-source tools for scientific computing in Python. The two papers in this library are reference accounts of NumPy and SciPy, the array library and the algorithm collection that much numerical research in Python depends on. Both describe a community project as a whole: its origins, its design and the scope of what it offers. [Array Programming with NumPy](https://md.research.elamur.ai/free/en/papers/harris-2020-array-programming-numpy/) (2020) argues that a small set of array ideas gives researchers a compact way to store, explore and analyse data. [The profile and all 2 works →](https://md.research.elamur.ai/free/en/authors/stefan-j-van-der-walt/)
10. ⭐ **#10** [Yoshua Bengio](https://md.research.elamur.ai/free/en/authors/yoshua-bengio/) **60,613** points = 47,487 OpenAlex citations + 13,126 in our library · h-index 187 · 23 works here [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/) 6 · [Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) 3 · [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 1 · [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/) 1 · [Speech & spoken language](https://md.research.elamur.ai/free/en/topics/speech/) 1 Yoshua Bengio works on deep learning and the representations that neural networks learn, with many of the papers here applied to language. [The profile and all 23 works →](https://md.research.elamur.ai/free/en/authors/yoshua-bengio/)

## How the stars are spread

1,995 of the 5,310 authors have 1,000 points or more, the median author has 622 points, and the top ten alone hold 7 % of all points — the citations gather around a few very famous works.

## The ranking

**1** [2](https://md.research.elamur.ai/free/en/paper-stars/page/2/) … [54](https://md.research.elamur.ai/free/en/paper-stars/page/54/) [next →](https://md.research.elamur.ai/free/en/paper-stars/page/2/)

- #11 [Quoc V. Le](https://md.research.elamur.ai/free/en/authors/quoc-v-le/) 58,551 points 31 works in our library [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 9 · [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/) 4 · [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/) 3 · [Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) 2 · [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/) 1
- #12 [Kyunghyun Cho](https://md.research.elamur.ai/free/en/authors/kyunghyun-cho/) 49,450 points 33 works in our library [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/) 14 · [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/) 3 · [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 2 · [Information extraction](https://md.research.elamur.ai/free/en/topics/information-extraction/) 2 · [Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) 2
- #13 [Luke Zettlemoyer](https://md.research.elamur.ai/free/en/authors/luke-zettlemoyer/) 46,992 points 69 works in our library [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 15 · [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/) 10 · [Semantic parsing & meaning representation](https://md.research.elamur.ai/free/en/topics/semantic-parsing/) 8 · [Coreference resolution](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) 7 · [Semantic role labeling](https://md.research.elamur.ai/free/en/topics/semantic-role-labeling/) 7
- #14 [Olaf Ronneberger](https://md.research.elamur.ai/free/en/authors/olaf-ronneberger/) 44,283 points 2 works in our library
- #15 [Anna Potapenko](https://md.research.elamur.ai/free/en/authors/anna-potapenko/) 43,790 points 2 works in our library
- #16 [Richard Evans](https://md.research.elamur.ai/free/en/authors/richard-evans/) 43,664 points 3 works in our library [Sentiment & emotion](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) 1
- #17 [Andrew Y. Ng](https://md.research.elamur.ai/free/en/authors/andrew-y-ng/) 40,350 points 10 works in our library [Sentiment & emotion](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) 2 · [Speech & spoken language](https://md.research.elamur.ai/free/en/topics/speech/) 1 · [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) 1 · [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/) 1 · [Knowledge graphs & ontologies](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) 1
- #18 [Trevor Darrell](https://md.research.elamur.ai/free/en/authors/trevor-darrell/) 39,970 points 8 works in our library [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/) 3 · [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/) 2
- #19 [Oriol Vinyals](https://md.research.elamur.ai/free/en/authors/oriol-vinyals/) 39,772 points 13 works in our library [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/) 2 · [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/) 1 · [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 1 · [Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) 1 · [Speech & spoken language](https://md.research.elamur.ai/free/en/topics/speech/) 1
- #20 [Kristina Toutanova](https://md.research.elamur.ai/free/en/authors/kristina-toutanova/) 39,185 points 19 works in our library [Part-of-speech tagging](https://md.research.elamur.ai/free/en/topics/part-of-speech-tagging/) 3 · [Treebanks](https://md.research.elamur.ai/free/en/topics/treebanks/) 2 · [Semantic role labeling](https://md.research.elamur.ai/free/en/topics/semantic-role-labeling/) 2 · [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 2 · [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/) 2
- #21 [Jeff Donahue](https://md.research.elamur.ai/free/en/authors/jeff-donahue/) 38,029 points 4 works in our library [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 1 · [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/) 1
- #22 [Sandhini Agarwal](https://md.research.elamur.ai/free/en/authors/sandhini-agarwal/) 37,795 points 5 works in our library [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 3
- #23 [Zheng Zhang](https://md.research.elamur.ai/free/en/authors/zheng-zhang/) 37,460 points 9 works in our library [Coreference resolution](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) 2 · [Named entity recognition](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/) 1 · [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 1 · [Sentiment & emotion](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) 1
- #24 [Kenton Lee](https://md.research.elamur.ai/free/en/authors/kenton-lee/) 37,211 points 13 works in our library [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 3 · [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/) 3 · [Coreference resolution](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) 2 · [Semantic role labeling](https://md.research.elamur.ai/free/en/topics/semantic-role-labeling/) 2 · [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/) 2
- #25 [Francisco Massa](https://md.research.elamur.ai/free/en/authors/francisco-massa/) 36,983 points 4 works in our library
- #26 [Yue Cao](https://md.research.elamur.ai/free/en/authors/yue-cao/) 35,110 points 3 works in our library [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 1 · [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/) 1
- #27 [Han Hu](https://md.research.elamur.ai/free/en/authors/han-hu/) 33,989 points 2 works in our library [Code & programming languages](https://md.research.elamur.ai/free/en/topics/code-and-programming/) 1
- #28 [David M. Blei](https://md.research.elamur.ai/free/en/authors/david-m-blei/) 33,756 points 4 works in our library
- #29 [Jeff Dean](https://md.research.elamur.ai/free/en/authors/jeff-dean/) 33,563 points 6 works in our library [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/) 1
- #30 [Nitesh V. Chawla](https://md.research.elamur.ai/free/en/authors/nitesh-v-chawla/) 33,319 points 4 works in our library [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 1 · [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/) 1 · [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/) 1
- #31 [Salim Roukos](https://md.research.elamur.ai/free/en/authors/salim-roukos/) 32,673 points 4 works in our library [Coreference resolution](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) 2 · [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/) 1 · [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) 1 · [Semantic parsing & meaning representation](https://md.research.elamur.ai/free/en/topics/semantic-parsing/) 1
- #32 [Jacob Devlin](https://md.research.elamur.ai/free/en/authors/jacob-devlin/) 32,431 points 10 works in our library [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/) 4 · [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 3 · [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/) 2 · [Semitic languages](https://md.research.elamur.ai/free/en/topics/semitic-languages/) 2 · [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) 1
- #33 [Percy Liang](https://md.research.elamur.ai/free/en/authors/percy-liang/) 29,794 points 32 works in our library [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 7 · [Semantic parsing & meaning representation](https://md.research.elamur.ai/free/en/topics/semantic-parsing/) 3 · [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/) 2 · [Text generation](https://md.research.elamur.ai/free/en/topics/text-generation/) 2 · [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) 2
- #34 [Dzmitry Bahdanau](https://md.research.elamur.ai/free/en/authors/dzmitry-bahdanau/) 29,108 points 6 works in our library [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/) 2 · [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 1 · [Speech & spoken language](https://md.research.elamur.ai/free/en/topics/speech/) 1 · [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/) 1
- #35 [Lawrence Page](https://md.research.elamur.ai/free/en/authors/lawrence-page/) 28,918 points 2 works in our library [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/) 1
- #36 [Sergey Brin](https://md.research.elamur.ai/free/en/authors/sergey-brin/) 28,918 points 2 works in our library [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/) 1
- #37 [Omer Levy](https://md.research.elamur.ai/free/en/authors/omer-levy/) 28,878 points 18 works in our library [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 4 · [Coreference resolution](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) 3 · [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) 3 · [Semantic role labeling](https://md.research.elamur.ai/free/en/topics/semantic-role-labeling/) 1 · [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/) 1
- #38 [Michael I. Jordan](https://md.research.elamur.ai/free/en/authors/michael-i-jordan/) 28,752 points 2 works in our library
- #39 [Ming-Wei Chang](https://md.research.elamur.ai/free/en/authors/ming-wei-chang/) 28,358 points 11 works in our library [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/) 4 · [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/) 3 · [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 2 · [Knowledge graphs & ontologies](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) 2 · [Text generation](https://md.research.elamur.ai/free/en/topics/text-generation/) 1
- #40 [Ilya Sutskever](https://md.research.elamur.ai/free/en/authors/ilya-sutskever/) 28,183 points 13 works in our library [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/) 3 · [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/) 1 · [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 1 · [Sentiment & emotion](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) 1 · [Speech & spoken language](https://md.research.elamur.ai/free/en/topics/speech/) 1
- #41 [Ruslan Salakhutdinov](https://md.research.elamur.ai/free/en/authors/ruslan-salakhutdinov/) 26,638 points 13 works in our library [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 3 · [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/) 3 · [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) 2 · [Coreference resolution](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) 1 · [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/) 1
- #42 [Noam Shazeer](https://md.research.elamur.ai/free/en/authors/noam-shazeer/) 26,376 points 7 works in our library [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/) 3 · [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 1 · [Summarization](https://md.research.elamur.ai/free/en/topics/summarization/) 1 · [Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) 1
- #43 [Richard Socher](https://md.research.elamur.ai/free/en/authors/richard-socher/) 26,049 points 27 works in our library [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 5 · [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/) 3 · [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/) 3 · [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/) 2 · [Summarization](https://md.research.elamur.ai/free/en/topics/summarization/) 2
- #44 [Jason Wei](https://md.research.elamur.ai/free/en/authors/jason-wei/) 26,019 points 16 works in our library [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 10 · [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/) 4 · [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) 1 · [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/) 1
- #45 [Ian Goodfellow](https://md.research.elamur.ai/free/en/authors/ian-goodfellow/) 25,589 points 5 works in our library
- #46 [Geoffrey Hinton](https://md.research.elamur.ai/free/en/authors/geoffrey-hinton/) 25,530 points 5 works in our library
- #47 [Alec Radford](https://md.research.elamur.ai/free/en/authors/alec-radford/) 25,510 points 10 works in our library [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 4 · [Sentiment & emotion](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) 1 · [Speech & spoken language](https://md.research.elamur.ai/free/en/topics/speech/) 1 · [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/) 1
- #48 [Danqi Chen](https://md.research.elamur.ai/free/en/authors/danqi-chen/) 24,992 points 21 works in our library [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 6 · [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/) 6 · [Knowledge graphs & ontologies](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) 3 · [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/) 2 · [Coreference resolution](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) 1
- #49 [Tomas Mikolov](https://md.research.elamur.ai/free/en/authors/tomas-mikolov/) 24,402 points 12 works in our library [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 3 · [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/) 1 · [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) 1 · [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/) 1 · [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/) 1
- #50 [Jakob Uszkoreit](https://md.research.elamur.ai/free/en/authors/jakob-uszkoreit/) 24,061 points 7 works in our library [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/) 3 · [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) 1 · [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) 1 · [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/) 1
- #51 [Yoon Kim](https://md.research.elamur.ai/free/en/authors/yoon-kim/) 23,928 points 11 works in our library [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 4 · [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/) 2 · [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/) 2 · [Syntax & grammar formalisms](https://md.research.elamur.ai/free/en/topics/syntax-grammar/) 1
- #52 [Max Welling](https://md.research.elamur.ai/free/en/authors/max-welling/) 23,800 points 2 works in our library
- #53 [Naman Goyal](https://md.research.elamur.ai/free/en/authors/naman-goyal/) 23,520 points 12 works in our library [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 7 · [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) 5 · [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/) 2 · [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/) 1 · [Text generation](https://md.research.elamur.ai/free/en/topics/text-generation/) 1
- #54 [Jianfeng Gao](https://md.research.elamur.ai/free/en/authors/jianfeng-gao/) 23,503 points 31 works in our library [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 11 · [Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) 6 · [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/) 4 · [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/) 4 · [Knowledge graphs & ontologies](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) 2
- #55 [Denny Zhou](https://md.research.elamur.ai/free/en/authors/denny-zhou/) 22,605 points 16 works in our library [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 13 · [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/) 5 · [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) 1 · [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) 1 · [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/) 1
- #56 [Lukasz Kaiser](https://md.research.elamur.ai/free/en/authors/lukasz-kaiser/) 22,476 points 8 works in our library [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/) 2 · [Summarization](https://md.research.elamur.ai/free/en/topics/summarization/) 1 · [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/) 1 · [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/) 1
- #57 [Sam Gross](https://md.research.elamur.ai/free/en/authors/sam-gross/) 22,333 points 2 works in our library
- #58 [James Bradbury](https://md.research.elamur.ai/free/en/authors/james-bradbury/) 22,082 points 5 works in our library [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/) 1
- #59 [Amanda Askell](https://md.research.elamur.ai/free/en/authors/amanda-askell/) 21,811 points 8 works in our library [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 6 · [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) 2
- #60 [Adam Lerer](https://md.research.elamur.ai/free/en/authors/adam-lerer/) 21,678 points 3 works in our library [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 1 · [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/) 1 · [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) 1
- #61 [Ashish Vaswani](https://md.research.elamur.ai/free/en/authors/ashish-vaswani/) 21,578 points 8 works in our library [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/) 3 · [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/) 1
- #62 [Dmitry Kalenichenko](https://md.research.elamur.ai/free/en/authors/dmitry-kalenichenko/) 21,572 points 2 works in our library
- #63 [Eduard Hovy](https://md.research.elamur.ai/free/en/authors/eduard-hovy/) 21,293 points 35 works in our library [Coreference resolution](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) 7 · [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/) 3 · [Semantic role labeling](https://md.research.elamur.ai/free/en/topics/semantic-role-labeling/) 2 · [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/) 2 · [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) 2
- #64 [Llion Jones](https://md.research.elamur.ai/free/en/authors/llion-jones/) 21,170 points 4 works in our library [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/) 3 · [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/) 1 · [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) 1
- #65 [Yejin Choi](https://md.research.elamur.ai/free/en/authors/yejin-choi/) 21,123 points 48 works in our library [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/) 14 · [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 7 · [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) 7 · [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/) 4 · [Text generation](https://md.research.elamur.ai/free/en/topics/text-generation/) 4
- #66 [Mike Lewis](https://md.research.elamur.ai/free/en/authors/mike-lewis/) 20,994 points 21 works in our library [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 5 · [Text generation](https://md.research.elamur.ai/free/en/topics/text-generation/) 3 · [Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) 3 · [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/) 3 · [Semantic role labeling](https://md.research.elamur.ai/free/en/topics/semantic-role-labeling/) 2
- #67 [Armand Joulin](https://md.research.elamur.ai/free/en/authors/armand-joulin/) 20,884 points 14 works in our library [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 2 · [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/) 2 · [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/) 1 · [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/) 1 · [Tokenization & segmentation](https://md.research.elamur.ai/free/en/topics/tokenization/) 1
- #68 [Niki Parmar](https://md.research.elamur.ai/free/en/authors/niki-parmar/) 20,754 points 5 works in our library [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/) 3 · [Speech & spoken language](https://md.research.elamur.ai/free/en/topics/speech/) 1
- #69 [Barret Zoph](https://md.research.elamur.ai/free/en/authors/barret-zoph/) 20,538 points 8 works in our library [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 4 · [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/) 1 · [Speech & spoken language](https://md.research.elamur.ai/free/en/topics/speech/) 1
- #70 [Illia Polosukhin](https://md.research.elamur.ai/free/en/authors/illia-polosukhin/) 20,444 points 2 works in our library [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/) 1 · [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/) 1 · [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) 1
- #71 [Noah A. Smith](https://md.research.elamur.ai/free/en/authors/noah-a-smith/) 19,970 points 61 works in our library [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 7 · [Semantic parsing & meaning representation](https://md.research.elamur.ai/free/en/topics/semantic-parsing/) 7 · [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) 6 · [Semantic role labeling](https://md.research.elamur.ai/free/en/topics/semantic-role-labeling/) 5 · [Dependency parsing](https://md.research.elamur.ai/free/en/topics/dependency-parsing/) 4
- #72 [Graham Neubig](https://md.research.elamur.ai/free/en/authors/graham-neubig/) 19,509 points 45 works in our library [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/) 14 · [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 5 · [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) 5 · [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) 4 · [Named entity recognition](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/) 3
- #73 [Andreas Kopf](https://md.research.elamur.ai/free/en/authors/andreas-kopf/) 19,204 points 3 works in our library [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 1
- #74 [Xuezhi Wang](https://md.research.elamur.ai/free/en/authors/xuezhi-wang/) 19,122 points 10 works in our library [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 8 · [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/) 4 · [Text generation](https://md.research.elamur.ai/free/en/topics/text-generation/) 1 · [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) 1 · [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/) 1
- #75 [Girish Sastry](https://md.research.elamur.ai/free/en/authors/girish-sastry/) 19,077 points 2 works in our library [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 1
- #76 [Michael Collins](https://md.research.elamur.ai/free/en/authors/michael-collins/) 18,922 points 21 works in our library [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/) 3 · [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/) 2 · [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) 2 · [Semantic parsing & meaning representation](https://md.research.elamur.ai/free/en/topics/semantic-parsing/) 2 · [Named entity recognition](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/) 1
- #77 [Philipp Koehn](https://md.research.elamur.ai/free/en/authors/philipp-koehn/) 18,798 points 42 works in our library [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/) 31 · [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) 19 · [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) 3 · [Low-resource languages](https://md.research.elamur.ai/free/en/topics/low-resource-languages/) 3 · [Coreference resolution](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) 1
- #78 [Adam Paszke](https://md.research.elamur.ai/free/en/authors/adam-paszke/) 18,772 points 2 works in our library
- #79 [Dan Klein](https://md.research.elamur.ai/free/en/authors/dan-klein/) 18,586 points 33 works in our library [Coreference resolution](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) 8 · [Syntax & grammar formalisms](https://md.research.elamur.ai/free/en/topics/syntax-grammar/) 4 · [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/) 2 · [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 2 · [Text generation](https://md.research.elamur.ai/free/en/topics/text-generation/) 2
- #80 [Wen-tau Yih](https://md.research.elamur.ai/free/en/authors/wen-tau-yih/) 18,577 points 23 works in our library [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/) 9 · [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/) 4 · [Knowledge graphs & ontologies](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) 3 · [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 2 · [Semantic parsing & meaning representation](https://md.research.elamur.ai/free/en/topics/semantic-parsing/) 2
- #81 [Jason Weston](https://md.research.elamur.ai/free/en/authors/jason-weston/) 18,513 points 23 works in our library [Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) 10 · [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/) 3 · [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/) 3 · [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) 2 · [Coreference resolution](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) 1
- #82 [Samuel R. Bowman](https://md.research.elamur.ai/free/en/authors/samuel-r-bowman/) 18,502 points 21 works in our library [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 8 · [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) 5 · [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) 5 · [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/) 2 · [Interpretability](https://md.research.elamur.ai/free/en/topics/interpretability/) 2
- #83 [Diogo Almeida](https://md.research.elamur.ai/free/en/authors/diogo-almeida/) 18,464 points 2 works in our library [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 2
- #84 [Gabriel Synnaeve](https://md.research.elamur.ai/free/en/authors/gabriel-synnaeve/) 17,840 points 5 works in our library [Speech & spoken language](https://md.research.elamur.ai/free/en/topics/speech/) 2 · [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 1 · [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) 1 · [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) 1 · [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/) 1
- #85 [Lillian Lee](https://md.research.elamur.ai/free/en/authors/lillian-lee/) 17,803 points 13 works in our library [Sentiment & emotion](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) 3 · [Summarization](https://md.research.elamur.ai/free/en/topics/summarization/) 2 · [Dependency parsing](https://md.research.elamur.ai/free/en/topics/dependency-parsing/) 1 · [Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) 1 · [Syntax & grammar formalisms](https://md.research.elamur.ai/free/en/topics/syntax-grammar/) 1
- #86 [Abdelrahman Mohamed](https://md.research.elamur.ai/free/en/authors/abdelrahman-mohamed/) 17,713 points 4 works in our library [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 1 · [Text generation](https://md.research.elamur.ai/free/en/topics/text-generation/) 1 · [Speech & spoken language](https://md.research.elamur.ai/free/en/topics/speech/) 1
- #87 [Victor Sanh](https://md.research.elamur.ai/free/en/authors/victor-sanh/) 17,710 points 5 works in our library [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/) 2 · [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 1
- #88 [Iryna Gurevych](https://md.research.elamur.ai/free/en/authors/iryna-gurevych/) 17,662 points 45 works in our library [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/) 6 · [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) 5 · [Coreference resolution](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) 4 · [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 3 · [Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) 3
- #89 [Alexander Kirillov](https://md.research.elamur.ai/free/en/authors/alexander-kirillov/) 17,626 points 2 works in our library
- #90 [Greg S. Corrado](https://md.research.elamur.ai/free/en/authors/greg-s-corrado/) 17,532 points 3 works in our library
- #91 [Maarten Bosma](https://md.research.elamur.ai/free/en/authors/maarten-bosma/) 17,232 points 4 works in our library [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 3 · [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/) 1 · [Code & programming languages](https://md.research.elamur.ai/free/en/topics/code-and-programming/) 1
- #92 [Yinhan Liu](https://md.research.elamur.ai/free/en/authors/yinhan-liu/) 17,209 points 4 works in our library [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 2 · [Coreference resolution](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) 1 · [Text generation](https://md.research.elamur.ai/free/en/topics/text-generation/) 1 · [Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) 1
- #93 [Michael Auli](https://md.research.elamur.ai/free/en/authors/michael-auli/) 16,922 points 17 works in our library [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/) 4 · [Summarization](https://md.research.elamur.ai/free/en/topics/summarization/) 2 · [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 1 · [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/) 1 · [Text generation](https://md.research.elamur.ai/free/en/topics/text-generation/) 1
- #94 [Thomas Wolf](https://md.research.elamur.ai/free/en/authors/thomas-wolf/) 16,906 points 4 works in our library [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) 1
- #95 [Saining Xie](https://md.research.elamur.ai/free/en/authors/saining-xie/) 16,649 points 5 works in our library [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 4 · [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/) 1
- #96 [Colin Raffel](https://md.research.elamur.ai/free/en/authors/colin-raffel/) 16,618 points 15 works in our library [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 5 · [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/) 1 · [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) 1 · [Tokenization & segmentation](https://md.research.elamur.ai/free/en/topics/tokenization/) 1
- #97 [Diederik P Kingma](https://md.research.elamur.ai/free/en/authors/diederik-p-kingma/) 16,519 points 2 works in our library
- #98 [Veselin Stoyanov](https://md.research.elamur.ai/free/en/authors/veselin-stoyanov/) 16,310 points 11 works in our library [Coreference resolution](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) 4 · [Sentiment & emotion](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) 4 · [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 1 · [Summarization](https://md.research.elamur.ai/free/en/topics/summarization/) 1 · [Text generation](https://md.research.elamur.ai/free/en/topics/text-generation/) 1
- #99 [Sam Shleifer](https://md.research.elamur.ai/free/en/authors/sam-shleifer/) 16,264 points 3 works in our library [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 1 · [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) 1
- #100 [Ed Chi](https://md.research.elamur.ai/free/en/authors/ed-chi/) 16,184 points 5 works in our library [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/) 3 · [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/) 3

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