Eyal Beigman

14 papers and 220 indexed citations i.

About

Eyal Beigman is a scholar working on Artificial Intelligence, Management Science and Operations Research and General Social Sciences. According to data from OpenAlex, Eyal Beigman has authored 14 papers receiving a total of 220 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Management Science and Operations Research and 4 papers in General Social Sciences. Recurrent topics in Eyal Beigman’s work include Natural Language Processing Techniques (6 papers), Topic Modeling (5 papers) and Game Theory and Applications (4 papers). Eyal Beigman is often cited by papers focused on Natural Language Processing Techniques (6 papers), Topic Modeling (5 papers) and Game Theory and Applications (4 papers). Eyal Beigman collaborates with scholars based in United States, Canada and Israel. Eyal Beigman's co-authors include Beata Beigman Klebanov, Daniel Diermeier, Junjik Bae, Randall Berry, Rakesh Vohra and Michael L. Honig and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, Political Analysis and Computational Linguistics.

In The Last Decade

Co-authorship network of co-authors of Eyal Beigman i

Fields of papers citing papers by Eyal Beigman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Eyal Beigman

Since Specialization
Citations

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

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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