Kevin Ellis

78 total papers · 1.1k total citations
32 papers, 371 citations indexed

About

Kevin Ellis is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Kevin Ellis has authored 32 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 7 papers in Information Systems and 4 papers in Computational Theory and Mathematics. Recurrent topics in Kevin Ellis's work include Machine Learning and Algorithms (7 papers), Software Engineering Research (7 papers) and Evolutionary Algorithms and Applications (6 papers). Kevin Ellis is often cited by papers focused on Machine Learning and Algorithms (7 papers), Software Engineering Research (7 papers) and Evolutionary Algorithms and Applications (6 papers). Kevin Ellis collaborates with scholars based in United States, United Kingdom and France. Kevin Ellis's co-authors include Armando Solar-Lezama, Joshua B. Tenenbaum, Mathias Sablé-Meyer, Josh Tenenbaum, Maxwell Nye, Luke Hewitt, Daniel Ritchie, Yisong Yue, Rishabh Singh and Oleksandr Polozov and has published in prestigious journals such as Nature Communications, Cognitive Psychology and Artificial Intelligence.

In The Last Decade

Kevin Ellis

28 papers receiving 352 citations

Author Peers

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

Author Last Decade Papers Cites
Kevin Ellis 206 85 58 51 28 32 371
Yang-Wai Chow 152 0.7× 91 1.1× 83 1.4× 20 0.4× 18 0.6× 52 431
D. Stott Parker 148 0.7× 39 0.5× 71 1.2× 30 0.6× 50 1.8× 34 432
Víctor López‐Jaquero 110 0.5× 132 1.6× 51 0.9× 36 0.7× 5 0.2× 41 342
Chris Roast 117 0.6× 74 0.9× 70 1.2× 43 0.8× 13 0.5× 47 390
Janice L. Pearce 59 0.3× 90 1.1× 25 0.4× 56 1.1× 10 0.4× 38 386
David Stotts 114 0.6× 187 2.2× 49 0.8× 110 2.2× 20 0.7× 36 347
Piero Mussio 101 0.5× 54 0.6× 68 1.2× 89 1.7× 21 0.8× 47 375
Osama Dorgham 168 0.8× 39 0.5× 148 2.6× 10 0.2× 19 0.7× 34 426
Latika Singh 84 0.4× 40 0.5× 87 1.5× 16 0.3× 12 0.4× 47 419
Erik Berglund 96 0.5× 53 0.6× 83 1.4× 16 0.3× 5 0.2× 41 341

Countries citing papers authored by Kevin Ellis

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Ellis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Ellis

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