Jason V. Davis

15 total papers · 2.6k total citations
9 papers, 1.7k citations indexed

About

Jason V. Davis is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Jason V. Davis has authored 9 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Computer Networks and Communications and 3 papers in Information Systems. Recurrent topics in Jason V. Davis's work include Machine Learning and Algorithms (3 papers), Face and Expression Recognition (3 papers) and Software Engineering Research (2 papers). Jason V. Davis is often cited by papers focused on Machine Learning and Algorithms (3 papers), Face and Expression Recognition (3 papers) and Software Engineering Research (2 papers). Jason V. Davis collaborates with scholars based in United States, India and Israel. Jason V. Davis's co-authors include Inderjit S. Dhillon, Brian Kulis, Suvrit Sra, Prateek Jain, Prateek Jain, Hany E. Ramadan, Donald E. Porter, David L. Chen, Christopher J. Rossbach and Emmett Witchel and has published in prestigious journals such as Journal of Machine Learning Research, ACM SIGPLAN Notices and Methods in molecular biology.

In The Last Decade

Jason V. Davis

9 papers receiving 1.6k citations

Hit Papers

Information-theoretic met... 2007 2026 2013 2019 2007 400 800 1.2k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jason V. Davis 1.3k 687 189 188 115 9 1.7k
Erjin Zhou 1.9k 1.5× 681 1.0× 143 0.8× 248 1.3× 55 0.5× 15 2.3k
Longlong Jing 816 0.7× 739 1.1× 100 0.5× 127 0.7× 58 0.5× 17 1.6k
Olivier Delalleau 939 0.8× 923 1.3× 192 1.0× 75 0.4× 141 1.2× 20 1.7k
Matthieu Guillaumin 1.8k 1.4× 699 1.0× 154 0.8× 118 0.6× 68 0.6× 22 2.1k
Jyri Kivinen 659 0.5× 643 0.9× 125 0.7× 70 0.4× 62 0.5× 8 1.5k
Anyi Rao 1.1k 0.9× 726 1.1× 225 1.2× 48 0.3× 184 1.6× 19 2.0k
Pascal Lamblin 739 0.6× 830 1.2× 282 1.5× 66 0.4× 65 0.6× 9 1.9k
Augustus Odena 1.4k 1.1× 572 0.8× 180 1.0× 106 0.6× 79 0.7× 10 2.1k
F. Anouar 871 0.7× 497 0.7× 233 1.2× 88 0.5× 79 0.7× 5 1.4k
King Sun Fu 700 0.6× 635 0.9× 128 0.7× 311 1.7× 66 0.6× 12 2.2k

Countries citing papers authored by Jason V. Davis

Since Specialization
Citations

This map shows the geographic impact of Jason V. Davis'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 Jason V. Davis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason V. Davis more than expected).

Fields of papers citing papers by Jason V. Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason V. Davis. 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 Jason V. Davis. The network helps show where Jason V. Davis may publish in the future.

Co-authorship network of co-authors of Jason V. Davis

This figure shows the co-authorship network connecting the top 25 collaborators of Jason V. Davis. A scholar is included among the top collaborators of Jason V. Davis 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 Jason V. Davis. Jason V. Davis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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