Jason Schweinsberg

77 total papers · 1.9k total citations
37 papers, 1.0k citations indexed

About

Jason Schweinsberg is a scholar working on Mathematical Physics, Genetics and Artificial Intelligence. According to data from OpenAlex, Jason Schweinsberg has authored 37 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Mathematical Physics, 11 papers in Genetics and 10 papers in Artificial Intelligence. Recurrent topics in Jason Schweinsberg's work include Stochastic processes and statistical mechanics (24 papers), Evolution and Genetic Dynamics (10 papers) and Bayesian Methods and Mixture Models (8 papers). Jason Schweinsberg is often cited by papers focused on Stochastic processes and statistical mechanics (24 papers), Evolution and Genetic Dynamics (10 papers) and Bayesian Methods and Mixture Models (8 papers). Jason Schweinsberg collaborates with scholars based in United States, Germany and France. Jason Schweinsberg's co-authors include Rick Durrett, Richard Durrett, Lyle Ungar, Jennifer Schumi, Julien Berestycki, Nathanaël Berestycki, Richard D. De Veaux, Anton Wakolbinger, Martin Möhle and Matthias Birkner and has published in prestigious journals such as Bioinformatics, Technometrics and The Annals of Statistics.

In The Last Decade

Jason Schweinsberg

35 papers receiving 961 citations

Author Peers

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

Author Last Decade Papers Cites
Jason Schweinsberg 453 430 237 187 150 37 1.0k
Serik Sagitov 511 1.1× 409 1.0× 190 0.8× 188 1.0× 157 1.0× 63 919
Martin Möhle 657 1.5× 460 1.1× 239 1.0× 180 1.0× 203 1.4× 70 1.1k
J. Radcliffe 382 0.8× 215 0.5× 96 0.4× 115 0.6× 139 0.9× 44 888
Matthias Birkner 336 0.7× 171 0.4× 126 0.5× 92 0.5× 121 0.8× 37 1.1k
Antonio Galves 380 0.8× 74 0.2× 123 0.5× 61 0.3× 160 1.1× 51 861
Peter Pfaffelhuber 153 0.3× 470 1.1× 83 0.4× 392 2.1× 55 0.4× 52 929
Andrew D. Barbour 199 0.4× 139 0.3× 77 0.3× 153 0.8× 184 1.2× 48 996
Sylvie Méléard 317 0.7× 406 0.9× 26 0.1× 77 0.4× 92 0.6× 36 957
Tokuzo Shiga 790 1.7× 84 0.2× 51 0.2× 89 0.5× 264 1.8× 38 1.0k
Sylvie Méléard 297 0.7× 158 0.4× 24 0.1× 59 0.3× 107 0.7× 45 801

Countries citing papers authored by Jason Schweinsberg

Since Specialization
Citations

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

Fields of papers citing papers by Jason Schweinsberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Schweinsberg

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