Michael Gabbay

82 papers and 1.5k indexed citations i.

About

Michael Gabbay is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Michael Gabbay has authored 82 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 18 papers in Computational Theory and Mathematics and 15 papers in Computer Networks and Communications. Recurrent topics in Michael Gabbay’s work include Logic, Reasoning, and Knowledge (40 papers), Logic, programming, and type systems (23 papers) and Multi-Agent Systems and Negotiation (14 papers). Michael Gabbay is often cited by papers focused on Logic, Reasoning, and Knowledge (40 papers), Logic, programming, and type systems (23 papers) and Multi-Agent Systems and Negotiation (14 papers). Michael Gabbay collaborates with scholars based in United Kingdom, United States and Israel. Michael Gabbay's co-authors include Franz Guenthner, Anthony Hunter, Bashar Nuseibeh, Jeff Kramer, Anthony Finkelstein, Uwe Reyle, Artur S. d’Avila Garcez, Michael L. Larsen, Lev S. Tsimring and Nikolai F. Rulkov and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and NeuroImage.

In The Last Decade

Co-authorship network of co-authors of Michael Gabbay i

Fields of papers citing papers by Michael Gabbay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Michael Gabbay

Since Specialization
Citations

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