Jonathan Cohen

158 total papers · 3.0k total citations
86 papers, 1.9k citations indexed

About

Jonathan Cohen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Jonathan Cohen has authored 86 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 11 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Jonathan Cohen's work include Computer Graphics and Visualization Techniques (11 papers), Web Data Mining and Analysis (5 papers) and Computational Geometry and Mesh Generation (5 papers). Jonathan Cohen is often cited by papers focused on Computer Graphics and Visualization Techniques (11 papers), Web Data Mining and Analysis (5 papers) and Computational Geometry and Mesh Generation (5 papers). Jonathan Cohen collaborates with scholars based in United States, Switzerland and France. Jonathan Cohen's co-authors include Dinesh Manocha, Marc Olano, John Gosselin, Brian MacWhinney, Jefferson Provost, Thomas C. Hudson, Ming C. Lin, Stefan Gottschalk, Yuan Chen and Julian H. Krolik and has published in prestigious journals such as Science, NeuroImage and Psychological Review.

In The Last Decade

Jonathan Cohen

79 papers receiving 1.7k citations

Author Peers

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

Author Last Decade Papers Cites
Jonathan Cohen 553 536 364 297 169 86 1.9k
Andreas Weber⋆ 899 1.6× 393 0.7× 409 1.1× 114 0.4× 81 0.5× 144 3.3k
Olivier Lézoray 965 1.7× 109 0.2× 211 0.6× 78 0.3× 62 0.4× 95 1.5k
Warren D. Smith 242 0.4× 260 0.5× 57 0.2× 268 0.9× 38 0.2× 123 3.3k
Rasmus Larsen 1.1k 2.1× 105 0.2× 257 0.7× 76 0.3× 13 0.1× 163 3.3k
Luís Gustavo Nonato 1.4k 2.5× 454 0.8× 411 1.1× 32 0.1× 11 0.1× 144 2.1k
Chris Shaw 704 1.3× 298 0.6× 154 0.4× 466 1.6× 6 0.0× 115 2.4k
Marina L. Gavrilova 1.5k 2.7× 192 0.4× 107 0.3× 163 0.5× 9 0.1× 262 3.2k
Yongming Li 551 1.0× 21 0.0× 75 0.2× 128 0.4× 31 0.2× 225 2.8k
Eli Schwartz 1.1k 2.0× 96 0.2× 123 0.3× 1.1k 3.5× 5 0.0× 73 2.8k
Michael Clausen 1.0k 1.9× 32 0.1× 98 0.3× 66 0.2× 78 0.5× 86 2.4k

Countries citing papers authored by Jonathan Cohen

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Cohen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan Cohen. 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 Jonathan Cohen. The network helps show where Jonathan Cohen may publish in the future.

Co-authorship network of co-authors of Jonathan Cohen

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Cohen. A scholar is included among the top collaborators of Jonathan Cohen 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 Jonathan Cohen. Jonathan Cohen 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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