Segev Shlomov

8 papers and 319 indexed citations i.

About

Segev Shlomov is a scholar working on Artificial Intelligence, Management Science and Operations Research and Statistical and Nonlinear Physics. According to data from OpenAlex, Segev Shlomov has authored 8 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Management Science and Operations Research and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in Segev Shlomov’s work include Natural Language Processing Techniques (3 papers), Topic Modeling (3 papers) and Game Theory and Applications (2 papers). Segev Shlomov is often cited by papers focused on Natural Language Processing Techniques (3 papers), Topic Modeling (3 papers) and Game Theory and Applications (2 papers). Segev Shlomov collaborates with scholars based in Israel, United Kingdom and Italy. Segev Shlomov's co-authors include Roi Reichart, Rotem Dror, Ateret Anaby-Tavor, Naama Zwerdling, Amir Kantor, Boaz Carmeli, George Kour, Itai Arieli, Yakov Babichenko and Sergey Zeltyn and has published in prestigious journals such as Journal of Economic Theory, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Segev Shlomov i

Fields of papers citing papers by Segev Shlomov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Segev Shlomov

Since Specialization
Citations

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