David S. Leslie

143 total papers · 3.7k total citations
74 papers, 2.3k citations indexed

About

David S. Leslie is a scholar working on Artificial Intelligence, Management Science and Operations Research and Immunology. According to data from OpenAlex, David S. Leslie has authored 74 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 19 papers in Management Science and Operations Research and 10 papers in Immunology. Recurrent topics in David S. Leslie's work include Game Theory and Applications (11 papers), Reinforcement Learning in Robotics (8 papers) and Advanced Bandit Algorithms Research (7 papers). David S. Leslie is often cited by papers focused on Game Theory and Applications (11 papers), Reinforcement Learning in Robotics (8 papers) and Advanced Bandit Algorithms Research (7 papers). David S. Leslie collaborates with scholars based in United Kingdom, United States and Australia. David S. Leslie's co-authors include E. J. Collins, Michael B. Brenner, Michael S. Vincent, Craig T. Morita, Ethan Grant, Franca Spada, Masahiko Sugita, Jenny E. Gumperz, Hoi K. Lee and Xiaowei Xiong and has published in prestigious journals such as Nature, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

David S. Leslie

72 papers receiving 2.2k citations

Author Peers

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

Author Last Decade Papers Cites
David S. Leslie 891 314 313 228 207 74 2.3k
Donald E. Campbell 916 1.0× 314 1.0× 105 0.3× 399 1.8× 183 0.9× 169 3.0k
Ron Milo 892 1.0× 616 2.0× 261 0.8× 164 0.7× 288 1.4× 67 3.3k
John Ainsworth 155 0.2× 95 0.3× 205 0.7× 169 0.7× 142 0.7× 108 2.8k
Subrata Ghosh 386 0.4× 61 0.2× 131 0.4× 571 2.5× 336 1.6× 113 2.3k
C. Cannings 205 0.2× 380 1.2× 282 0.9× 177 0.8× 52 0.3× 137 3.1k
David Cornforth 215 0.2× 59 0.2× 451 1.4× 98 0.4× 89 0.4× 126 2.3k
Taketoshi Yoshida 474 0.5× 65 0.2× 851 2.7× 188 0.8× 156 0.8× 92 2.6k
Carl Taswell 1.3k 1.4× 55 0.2× 120 0.4× 258 1.1× 303 1.5× 71 2.5k
Alun Thomas 182 0.2× 117 0.4× 148 0.5× 275 1.2× 360 1.7× 133 3.2k
Steven B. Johnson 126 0.1× 131 0.4× 124 0.4× 515 2.3× 41 0.2× 58 2.7k

Countries citing papers authored by David S. Leslie

Since Specialization
Citations

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

Fields of papers citing papers by David S. Leslie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David S. Leslie. 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 David S. Leslie. The network helps show where David S. Leslie may publish in the future.

Co-authorship network of co-authors of David S. Leslie

This figure shows the co-authorship network connecting the top 25 collaborators of David S. Leslie. A scholar is included among the top collaborators of David S. Leslie 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 David S. Leslie. David S. Leslie 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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