Paul D. Feigin

93 total papers · 2.8k total citations
67 papers, 1.7k citations indexed

About

Paul D. Feigin is a scholar working on Statistics and Probability, Finance and Artificial Intelligence. According to data from OpenAlex, Paul D. Feigin has authored 67 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Statistics and Probability, 14 papers in Finance and 13 papers in Artificial Intelligence. Recurrent topics in Paul D. Feigin's work include Statistical Methods and Inference (12 papers), Financial Risk and Volatility Modeling (12 papers) and Bayesian Methods and Mixture Models (9 papers). Paul D. Feigin is often cited by papers focused on Statistical Methods and Inference (12 papers), Financial Risk and Volatility Modeling (12 papers) and Bayesian Methods and Mixture Models (9 papers). Paul D. Feigin collaborates with scholars based in Israel, United States and Australia. Paul D. Feigin's co-authors include Richard L. Tweedie, William Langston, Anthony E. Lang, C. Warren Olanow, Eduardo Tolosa, Joseph Jankovic, Eldad Melamed, Robert A. Hauser, Werner Poewe and Fabrizio Stocchi and has published in prestigious journals such as New England Journal of Medicine, Journal of the American Statistical Association and Journal of the American College of Cardiology.

In The Last Decade

Paul D. Feigin

66 papers receiving 1.5k citations

Hit Papers

A Double-Blind, Delayed-S... 2009 2026 2014 2020 2009 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Paul D. Feigin 470 345 312 212 208 67 1.7k
Giovanni Puccetti 37 0.1× 379 1.1× 568 1.8× 25 0.1× 360 1.7× 68 1.3k
Robert M. Oliver 41 0.1× 74 0.2× 82 0.3× 55 0.3× 128 0.6× 91 1.9k
José M. Ruiz 29 0.1× 1.5k 4.2× 164 0.5× 46 0.2× 44 0.2× 103 2.1k
Nader Ebrahimi 39 0.1× 693 2.0× 62 0.2× 131 0.6× 76 0.4× 92 1.5k
Michael Eichler 47 0.1× 155 0.4× 102 0.3× 103 0.5× 261 1.3× 51 1.7k
Björn Johansson 34 0.1× 79 0.2× 23 0.1× 118 0.6× 81 0.4× 95 1.9k
Jean‐Claude Fort 13 0.0× 103 0.3× 50 0.2× 40 0.2× 50 0.2× 42 1.3k
Edsel A. Peña 28 0.1× 609 1.8× 32 0.1× 97 0.5× 63 0.3× 88 2.1k
Chen Jia 29 0.1× 128 0.4× 68 0.2× 83 0.4× 206 1.0× 125 2.0k
Jayant V. Deshpandé 21 0.0× 677 2.0× 47 0.2× 139 0.7× 31 0.1× 81 1.6k

Countries citing papers authored by Paul D. Feigin

Since Specialization
Citations

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

Fields of papers citing papers by Paul D. Feigin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul D. Feigin. 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 Paul D. Feigin. The network helps show where Paul D. Feigin may publish in the future.

Co-authorship network of co-authors of Paul D. Feigin

This figure shows the co-authorship network connecting the top 25 collaborators of Paul D. Feigin. A scholar is included among the top collaborators of Paul D. Feigin 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 Paul D. Feigin. Paul D. Feigin 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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