P. C. Fishburn

85 total papers · 2.3k total citations
71 papers, 1.3k citations indexed

About

P. C. Fishburn is a scholar working on Computational Theory and Mathematics, Economics and Econometrics and Artificial Intelligence. According to data from OpenAlex, P. C. Fishburn has authored 71 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computational Theory and Mathematics, 20 papers in Economics and Econometrics and 15 papers in Artificial Intelligence. Recurrent topics in P. C. Fishburn's work include Game Theory and Voting Systems (17 papers), Advanced Graph Theory Research (13 papers) and graph theory and CDMA systems (11 papers). P. C. Fishburn is often cited by papers focused on Game Theory and Voting Systems (17 papers), Advanced Graph Theory Research (13 papers) and graph theory and CDMA systems (11 papers). P. C. Fishburn collaborates with scholars based in United States, United Kingdom and Belgium. P. C. Fishburn's co-authors include R. R. Laxton, Fred S. Roberts, Kirby A. Baker, H. O. Pollak, James A. Reeds, William V. Gehrlein, A.R. Calderbank, W. T. Trotter, L. A. Shepp and Jeffrey C. Lagarias and has published in prestigious journals such as IEEE Transactions on Information Theory, European Journal of Operational Research and The Review of Economic Studies.

In The Last Decade

P. C. Fishburn

69 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
P. C. Fishburn 468 352 326 310 268 71 1.3k
Meir Smorodinsky 739 1.6× 175 0.5× 482 1.5× 68 0.2× 119 0.4× 35 1.5k
T. E. S. Raghavan 669 1.4× 322 0.9× 683 2.1× 53 0.2× 145 0.5× 49 1.4k
John Hawkes 200 0.4× 157 0.4× 283 0.9× 24 0.1× 241 0.9× 47 1.6k
Roger Adelson 592 1.3× 163 0.5× 713 2.2× 509 1.6× 387 1.4× 39 1.8k
Andrzej P. Wierzbicki 148 0.3× 389 1.1× 625 1.9× 31 0.1× 338 1.3× 88 1.5k
Andrew McLennan 834 1.8× 78 0.2× 729 2.2× 63 0.2× 118 0.4× 53 1.3k
Ehud Lehrer 983 2.1× 195 0.6× 1.3k 4.0× 199 0.6× 254 0.9× 101 1.8k
Ulrich Krengel 113 0.2× 277 0.8× 331 1.0× 15 0.0× 130 0.5× 56 1.7k
David F. Manlove 784 1.7× 637 1.8× 642 2.0× 8 0.0× 195 0.7× 63 1.5k
Ulrich Faigle 431 0.9× 663 1.9× 435 1.3× 5 0.0× 198 0.7× 104 1.6k

Countries citing papers authored by P. C. Fishburn

Since Specialization
Citations

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

Fields of papers citing papers by P. C. Fishburn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. C. Fishburn. 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 P. C. Fishburn. The network helps show where P. C. Fishburn may publish in the future.

Co-authorship network of co-authors of P. C. Fishburn

This figure shows the co-authorship network connecting the top 25 collaborators of P. C. Fishburn. A scholar is included among the top collaborators of P. C. Fishburn 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 P. C. Fishburn. P. C. Fishburn 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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