Stas Bekman

415 total citations
2 papers, 21 citations indexed

About

Stas Bekman is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Hardware and Architecture. According to data from OpenAlex, Stas Bekman has authored 2 papers receiving a total of 21 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Hardware and Architecture. Recurrent topics in Stas Bekman's work include Parallel Computing and Optimization Techniques (1 paper), Natural Language Processing Techniques (1 paper) and Advanced Neural Network Applications (1 paper). Stas Bekman is often cited by papers focused on Parallel Computing and Optimization Techniques (1 paper), Natural Language Processing Techniques (1 paper) and Advanced Neural Network Applications (1 paper). Stas Bekman collaborates with scholars based in United States, France and South Korea. Stas Bekman's co-authors include Zheng Yong, Iz Beltagy, Ofir Press, Niklas Muennighoff, Julien Launay, Teven Le Scao, Sheng Shen, Thomas J. Wang, Jason Phang and Victor Sanh and has published in prestigious journals such as .

In The Last Decade

Stas Bekman

2 papers receiving 19 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Stas Bekman United States	2	18	6	3	2	1	2	21
Jesujoba O. Alabi Germany	4	23 1.3×	5 0.8×	3 1.0×	1 0.5×		13	30
S. Shi China	2	13 0.7×	7 1.2×	3 1.0×		1 1.0×	2	35
Timothée Lacroix	1	12 0.7×	5 0.8×	3 1.0×			2	13
Siddhartha Mishra United States	3	13 0.7×	5 0.8×	2 0.7×		1 1.0×	4	17
Mofetoluwa Adeyemi Canada	3	19 1.1×	4 0.7×	2 0.7×			6	20
Lorenz Panny China	2	15 0.8×	4 0.7×	2 0.7×	1 0.5×	1 1.0×	3	21
Iroro Orife United States	3	12 0.7×	7 1.2×	2 0.7×			6	19
Alexander Spangher United States	4	26 1.4×	4 0.7×	4 1.3×	1 0.5×		10	34
Zhiyi Ma United Kingdom	2	13 0.7×	5 0.8×	2 0.7×			3	13
Shima Asaadi Germany	4	26 1.4×	9 1.5×	4 1.3×			7	35

Countries citing papers authored by Stas Bekman

Since Specialization

Citations

This map shows the geographic impact of Stas Bekman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Stas Bekman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stas Bekman more than expected).

Fields of papers citing papers by Stas Bekman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stas Bekman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Stas Bekman. The network helps show where Stas Bekman may publish in the future.

Co-authorship network of co-authors of Stas Bekman

This figure shows the co-authorship network connecting the top 25 collaborators of Stas Bekman. A scholar is included among the top collaborators of Stas Bekman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stas Bekman. Stas Bekman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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2 of 2 papers shown

1.

Anthony, Quentin, Deepak Narayanan, Stella Biderman, et al.. (2024). The Case for Co-Designing Model Architectures with Hardware. 84–96. 3 indexed citations

2.

Scao, Teven Le, Thomas J. Wang, Daniel Hesslow, et al.. (2022). What Language Model to Train if You Have One Million GPU Hours?. 765–782. 18 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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