--- title: "NVIDIA: Aaron Blakeman — author profile and papers in our library" description: "NVIDIA: Aaron Blakeman: 2 papers on Elamur Research (2025), h-index 1 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/nvidia-aaron-blakeman/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/nvidia-aaron-blakeman/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / NVIDIA: Aaron Blakeman # NVIDIA: Aaron Blakeman NVIDIA: Aaron Blakeman has 2 papers in our library, in 2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Aarti Basant](https://md.research.elamur.ai/free/en/authors/aarti-basant/), [Abhinav Khattar](https://md.research.elamur.ai/free/en/authors/abhinav-khattar/), [Akhiad Bercovich](https://md.research.elamur.ai/free/en/authors/akhiad-bercovich/). 2 papers in our library · 2025 [OpenAlex](https://openalex.org/A5120058490) · [**h-index 1**](https://openalex.org/authors/A5120058490) · [6 works](https://openalex.org/works?filter=author.id:A5120058490) · [1 citations](https://openalex.org/works?filter=author.id:A5120058490&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/nvidia-aaron-blakeman/#papers) · [🔗 Cited 65 times in our library](https://md.research.elamur.ai/free/en/authors/nvidia-aaron-blakeman/cited-by/) · [⭐ Paper Stars ranking: #7433](https://md.research.elamur.ai/free/en/paper-stars/page/75/#star-7433) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=NVIDIA%3A+Aaron+Blakeman) · [Semantic Scholar](https://www.semanticscholar.org/search?q=NVIDIA%3A+Aaron+Blakeman) · [dblp](https://dblp.org/search?q=NVIDIA%3A+Aaron+Blakeman) · [ACL Anthology](https://aclanthology.org/search/?q=NVIDIA%3A+Aaron+Blakeman) ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/nvidia-aaron-blakeman/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models](https://md.research.elamur.ai/free/en/papers/blakeman-2025-nemotron-h-family-accurate-efficient/)** *(2025 · 38 citations)* Self-attention costs grow with sequence length, both in compute per generated token and in KV-cache memory. 2. **[Nemotron 3 Nano: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning](https://md.research.elamur.ai/free/en/papers/blakeman-2025-nemotron-3-nano-open-efficient/)** *(2025 · 27 citations)* NVIDIA presents Nemotron 3 Nano 30B-A3B, an open language model for agentic use, reasoning and chat that aims for a better balance between accuracy and inference speed. ## Co-authors here 9 co-authors with a page, the most papers together first. - [Aarti Basant](https://md.research.elamur.ai/free/en/authors/aarti-basant/) ×2 - [Abhinav Khattar](https://md.research.elamur.ai/free/en/authors/abhinav-khattar/) ×2 - [Akhiad Bercovich](https://md.research.elamur.ai/free/en/authors/akhiad-bercovich/) ×2 - [Aleksander Ficek](https://md.research.elamur.ai/free/en/authors/aleksander-ficek/) ×2 - [Aaron Grattafiori](https://md.research.elamur.ai/free/en/authors/aaron-grattafiori/) - [Adithya Renduchintala](https://md.research.elamur.ai/free/en/authors/adithya-renduchintala/) - [Alex Kondratenko](https://md.research.elamur.ai/free/en/authors/alex-kondratenko/) - [Ameya Sunil Mahabaleshwarkar](https://md.research.elamur.ai/free/en/authors/ameya-sunil-mahabaleshwarkar/) - [Andrew Tao](https://md.research.elamur.ai/free/en/authors/andrew-tao/) ## Cited by Papers of our library cite their works 65 times (of the 149,439 papers whose bibliographies we read); [13 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/nvidia-aaron-blakeman/cited-by/). Updated 30 October 2026