---
title: "Who cites Statsmodels: econometric and — 75 citing papers"
description: "75 papers of the Elamur Research library cite «Statsmodels: econometric and statistical modeling with Python», found in their bibliographies…"
canonical: "https://research.elamur.ai/free/en/papers/seabold-2010-statsmodels-econometric-statistical-modeling-python/cited-by/"
---
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# Who cites «Statsmodels: econometric and statistical modeling with Python»

75 papers of our library cite it (of the 149,439 whose bibliographies we read) · 11 with a page here, the most cited first · [← back to «Statsmodels: econometric and statistical modeling with Python»](https://md.research.elamur.ai/free/en/papers/seabold-2010-statsmodels-econometric-statistical-modeling-python/)

1. [**SciPy 1.0 — Fundamental Algorithms for Scientific Computing in Python arXiv:1907.10121 (Nature Methods 17, 261 (2020))**Pauli Virtanen, Ralf Gommers, Travis E. Oliphant, et al.*2019 · 38,334 citations*](https://md.research.elamur.ai/free/en/papers/virtanen-2019-scipy-1-0-fundamental-algorithms/)
2. **[Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change](https://md.research.elamur.ai/free/en/papers/hamilton-2016-diachronic-word-embeddings-reveal-statistical/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**William L. Hamilton, Jure Leskovec, Dan Jurafsky*2016 · 1,278 citations*
3. **[Behavior Analysis of NLI Models: Uncovering the Influence of Three Factors on Robustness](https://md.research.elamur.ai/free/en/papers/sanchez-2018-behavior-analysis-nli-models-uncovering/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Ivan Sanchez, Jeff Mitchell, Sebastian Riedel*2018 · 56 citations*
4. **[Predicting In-Game Actions from Interviews of NBA Players](https://md.research.elamur.ai/free/en/papers/oved-2020-predicting-game-actions-interviews-nba/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Nadav Oved, Amir Feder, Roi Reichart*2020 · 24 citations*
5. **[From Insanely Jealous to Insanely Delicious: Computational Models for the Semantic Bleaching of English Intensifiers](https://md.research.elamur.ai/free/en/papers/luo-2019-insanely-jealous-insanely-delicious-computational/) [Proceedings for the International Workshop on Computational Approaches to Language Change](https://md.research.elamur.ai/free/en/venues/lchange/)**Yiwei Luo, Dan Jurafsky, Beth Levin*2019 · 15 citations*
6. [**From Calculation to Adjudication: Examining LLM judges on Mathematical Reasoning Tasks arXiv:2409.04168**Andreas Stephan, Dawei Zhu, Matthias Aßenmacher, et al.*2024 · 13 citations*](https://md.research.elamur.ai/free/en/papers/stephan-2024-calculation-adjudication-examining-llm-judges/)
7. **[An investigation of numeral quantifiers in English](https://md.research.elamur.ai/free/en/papers/brendel-2019-investigation-numeral-quantifiers-english/) [Glossa a journal of general linguistics](https://md.research.elamur.ai/free/en/venues/glossa-a-journal-of-general-linguistics/)**Cole Ira Brendel*2019 · 6 citations*
8. **[Controlling Reading Ease with Gaze-Guided Text Generation](https://md.research.elamur.ai/free/en/papers/sauberli-2026-controlling-reading-ease-gaze-guided/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Andreas Säuberli, Darja Jepifanova, Diego Frassinelli, et al.*2026 · 3 citations*
9. **[Child-directed speech facilitates production, not comprehension, in BabyLMs](https://md.research.elamur.ai/free/en/papers/bunzeck-2026-child-directed-speech-facilitates-production/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Bastian Bunzeck, Sina Zarrieß*2026*
10. **[The Effects of Structured LLM-Generated Feedback on Programming Assignment Performance](https://md.research.elamur.ai/free/en/papers/mihaylova-2026-effects-structured-llm-generated-feedback/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Tsvetomila Mihaylova, Evanfiya Logacheva, Arto Hellas, et al.*2026*
11. **[What Makes a Good Query? Measuring the Impact of Human-Confusing Linguistic Features on LLM Performance](https://md.research.elamur.ai/free/en/papers/watson-2026-what-makes-good-query-measuring/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**William Watson, Nicole Cho, Sumitra Ganesh, et al.*2026*

64 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/seabold-2010-statsmodels-econometric-statistical-modeling-python/) — Statsmodels: econometric and statistical modeling with Python
