Law Probability and Risk

3.1k citations
343 papers · indexed · active since 1950
Topics
Jury Decision Making ProcessesLaw, Economics, and Judicial SystemsForensic and Genetic Research

In The Last Decade

Law Probability and Risk

283 papers receiving 2.6k citations

Peers

Law Probability and Risk
Comparison fields: 5 of 176
  • Artificial Intelligence 852
  • Genetics 628
  • Law 561
  • Economics and Econometrics 396
  • Sociology and Political Science 351
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Countries where authors publish in Law Probability and Risk

Since Specialization
Citations

This map shows the geographic impact of research published in Law Probability and Risk. 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 papers published in Law Probability and Risk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Law Probability and Risk more than expected).

Fields of papers published in Law Probability and Risk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Law Probability and Risk. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Law Probability and Risk.

About Law Probability and Risk

The 343 papers published in Law Probability and Risk in the last decades have received a total of 3.1k indexed citations . Papers published in Law Probability and Risk usually cover Law (97 papers), Statistics and Probability (42 papers) and General Decision Sciences (7 papers) specifically the topics of Jury Decision Making Processes (68 papers), Law, Economics, and Judicial Systems (65 papers) and Forensic and Genetic Research (58 papers). The most active scholars publishing in Law Probability and Risk are Simon A. Cole, Olivier Ribaux, Tim van Gelder, John Buckleton, Joseph L. Gastwirth, William C. Thompson, Franco Taroni, Itiel E. Dror, Alex Biedermann and Charles Weiss.

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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