James Hawthorne

50 total papers · 1.0k total citations
31 papers, 439 citations indexed

About

James Hawthorne is a scholar working on Artificial Intelligence, History and Philosophy of Science and Computational Theory and Mathematics. According to data from OpenAlex, James Hawthorne has authored 31 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 8 papers in History and Philosophy of Science and 7 papers in Computational Theory and Mathematics. Recurrent topics in James Hawthorne's work include Logic, Reasoning, and Knowledge (10 papers), Bayesian Modeling and Causal Inference (9 papers) and Advanced Software Engineering Methodologies (8 papers). James Hawthorne is often cited by papers focused on Logic, Reasoning, and Knowledge (10 papers), Bayesian Modeling and Causal Inference (9 papers) and Advanced Software Engineering Methodologies (8 papers). James Hawthorne collaborates with scholars based in United States, United Kingdom and Sweden. James Hawthorne's co-authors include David Makinson, Branden Fitelson, Richard Anthony, Michael Silberstein, Mariusz Pelc, Paul Ward, Jürgen Landes, Jon Williamson, Martin Törngren and Miltos Petridis and has published in prestigious journals such as Philosophy of Science, Synthese and The British Journal for the Philosophy of Science.

In The Last Decade

James Hawthorne

28 papers receiving 368 citations

Author Peers

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

Author						Papers	Cites
James Hawthorne	236	185	131	113	82	31	439
Theo A. F. Kuipers	161 0.7×	115 0.6×	259 2.0×	49 0.4×	32 0.4×	55	449
Peter Milne	224 0.9×	188 1.0×	169 1.3×	175 1.5×	79 1.0×	55	473
Charles S. Chihara	92 0.4×	201 1.1×	219 1.7×	263 2.3×	81 1.0×	39	472
R. J. Nelson	129 0.5×	51 0.3×	48 0.4×	107 0.9×	125 1.5×	21	446
Phillip Bricker	104 0.4×	174 0.9×	111 0.8×	208 1.8×	23 0.3×	14	387
Daniel Lassiter	233 1.0×	128 0.7×	26 0.2×	130 1.2×	28 0.3×	34	452
Thomas Icard	261 1.1×	90 0.5×	45 0.3×	39 0.3×	72 0.9×	47	465
Rachael Briggs	102 0.4×	269 1.5×	152 1.2×	182 1.6×	28 0.3×	20	445
Leonard Linsky	136 0.6×	186 1.0×	104 0.8×	242 2.1×	29 0.4×	30	449
Robert C. Koons	98 0.4×	203 1.1×	117 0.9×	186 1.6×	40 0.5×	49	468

Countries citing papers authored by James Hawthorne

Since Specialization

Citations

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

Fields of papers citing papers by James Hawthorne

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Hawthorne

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