Arie Segev

49 papers and 1.1k indexed citations i.

About

Arie Segev is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Arie Segev has authored 49 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Networks and Communications, 18 papers in Artificial Intelligence and 16 papers in Signal Processing. Recurrent topics in Arie Segev’s work include Advanced Database Systems and Queries (22 papers), Data Management and Algorithms (16 papers) and Auction Theory and Applications (9 papers). Arie Segev is often cited by papers focused on Advanced Database Systems and Queries (22 papers), Data Management and Algorithms (16 papers) and Auction Theory and Applications (9 papers). Arie Segev collaborates with scholars based in United States, Austria and France. Arie Segev's co-authors include Carrie Beam, Soumitra Dutta, Arie Shoshani, Martin Bichler, Abhirup Chatterjee, Judith Gebauer, Dorit S. Hochbaum, Jaana Porra, Jun Zhao and Richard T. Snodgrass and has published in prestigious journals such as Management Science, Communications of the ACM and Information Sciences.

In The Last Decade

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

Fields of papers citing papers by Arie Segev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Arie Segev

Since Specialization
Citations

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