David Carlisle

53 total papers · 876 total citations
25 papers, 507 citations indexed

About

David Carlisle is a scholar working on Computational Theory and Mathematics, Mathematical Physics and Geometry and Topology. According to data from OpenAlex, David Carlisle has authored 25 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computational Theory and Mathematics, 5 papers in Mathematical Physics and 5 papers in Geometry and Topology. Recurrent topics in David Carlisle's work include Mathematics, Computing, and Information Processing (8 papers), Digital Humanities and Scholarship (3 papers) and Logic, programming, and type systems (2 papers). David Carlisle is often cited by papers focused on Mathematics, Computing, and Information Processing (8 papers), Digital Humanities and Scholarship (3 papers) and Logic, programming, and type systems (2 papers). David Carlisle collaborates with scholars based in United Kingdom, United States and Germany. David Carlisle's co-authors include Ramón Pichs-Madruga, Kristie L. Ebi, Jana Sillmann, Elmar Kriegler, Seth Monteith, Bas van Ruijven, Benjamin L. Preston, Kasper Kok, Paula A. Harrison and Keywan Riahi and has published in prestigious journals such as The American Journal of Cardiology, Nature Climate Change and Bulletin of the London Mathematical Society.

In The Last Decade

David Carlisle

19 papers receiving 468 citations

Hit Papers

Achievements and needs fo... 2020 2026 2022 2024 2020 100 200 300

Author Peers

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

Author Last Decade Papers Cites
David Carlisle 180 84 54 54 53 25 507
Yan Li 17 0.1× 84 1.0× 22 0.4× 5 0.1× 39 0.7× 46 510
Yang Zhang 99 0.6× 37 0.4× 3 0.1× 6 0.1× 15 0.3× 42 459
Ottmar Cronie 141 0.8× 77 0.9× 2 0.0× 51 0.9× 57 1.1× 28 504
Rosario Delgado 33 0.2× 37 0.4× 17 0.3× 3 0.1× 27 0.5× 36 452
J. B. Mankin 159 0.9× 13 0.2× 7 0.1× 5 0.1× 26 0.5× 25 551
Dang Luo 76 0.4× 96 1.1× 10 0.2× 22 0.4× 67 615
Steven Lord 79 0.4× 22 0.3× 245 4.5× 17 0.3× 30 0.6× 27 469
Jon Gjerde 31 0.2× 160 1.9× 23 0.4× 14 0.3× 4 0.1× 43 522
Maitri Verma 172 1.0× 79 0.9× 4 0.1× 1 0.0× 13 0.2× 25 449
Artem Baklanov 196 1.1× 59 0.7× 2 0.0× 2 0.0× 42 0.8× 16 465

Countries citing papers authored by David Carlisle

Since Specialization
Citations

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

Fields of papers citing papers by David Carlisle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Carlisle

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