Avi Segal

20 papers and 178 indexed citations i.

About

Avi Segal is a scholar working on Computer Science Applications, Artificial Intelligence and Ecological Modeling. According to data from OpenAlex, Avi Segal has authored 20 papers receiving a total of 178 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Science Applications, 9 papers in Artificial Intelligence and 4 papers in Ecological Modeling. Recurrent topics in Avi Segal’s work include Intelligent Tutoring Systems and Adaptive Learning (8 papers), Online Learning and Analytics (6 papers) and Mobile Crowdsensing and Crowdsourcing (4 papers). Avi Segal is often cited by papers focused on Intelligent Tutoring Systems and Adaptive Learning (8 papers), Online Learning and Analytics (6 papers) and Mobile Crowdsensing and Crowdsourcing (4 papers). Avi Segal collaborates with scholars based in Israel, United Kingdom and United States. Avi Segal's co-authors include Kobi Gal, Guy Shani, Bracha Shapira, Baruch B. Schwarz, Gil Zalsman, Avi Valevski, Yaël Levy, Ece Kamar, J. John Mann and Eric Horvitz and has published in prestigious journals such as Physics Letters B, Journal of Psychiatric Research and International Journal of Human-Computer Studies.

In The Last Decade

Co-authorship network of co-authors of Avi Segal i

Fields of papers citing papers by Avi Segal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Avi Segal

Since Specialization
Citations

This map shows the geographic impact of Avi Segal'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 Avi Segal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Avi Segal 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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2025