Dav M. Gabbay

28 total papers · 656 total citations
9 papers, 113 citations indexed

About

Dav M. Gabbay is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Dav M. Gabbay has authored 9 papers receiving a total of 113 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Computational Theory and Mathematics and 1 paper in Computer Networks and Communications. Recurrent topics in Dav M. Gabbay's work include Logic, Reasoning, and Knowledge (7 papers), Logic, programming, and type systems (3 papers) and Multi-Agent Systems and Negotiation (3 papers). Dav M. Gabbay is often cited by papers focused on Logic, Reasoning, and Knowledge (7 papers), Logic, programming, and type systems (3 papers) and Multi-Agent Systems and Negotiation (3 papers). Dav M. Gabbay collaborates with scholars based in United Kingdom, Luxembourg and Israel. Dav M. Gabbay's co-authors include Ian Hodkinson, Karl Schlechta, John Woods, Howard Barringer, John A. Robinson, Maarten de Rijke, Андрей Воронков, Andreas Nonnengart and David Rydeheard and has published in prestigious journals such as Synthese, Journal of Logic and Computation and Logic Journal of IGPL.

In The Last Decade

Dav M. Gabbay

8 papers receiving 99 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Dav M. Gabbay 111 45 8 7 4 9 113
Nikolay Pelov 135 1.2× 36 0.8× 2 0.3× 16 2.3× 6 1.5× 8 137
George S. Sacerdote 38 0.3× 113 2.5× 5 0.6× 6 0.9× 3 0.8× 17 223
Sylvain Lombardy 100 0.9× 131 2.9× 2 0.3× 8 1.1× 2 0.5× 14 141
William W. McCune 58 0.5× 32 0.7× 4 0.5× 37 5.3× 9 2.3× 9 82
Femke van Raamsdonk 100 0.9× 72 1.6× 2 0.3× 5 0.7× 11 2.8× 17 108
Richard A. Platek 161 1.5× 165 3.7× 2 0.3× 10 1.4× 7 1.8× 10 216
Richard W. Weyhrauch 197 1.8× 69 1.5× 2 0.3× 22 3.1× 8 2.0× 10 214
Dimitris Mostrous 106 1.0× 75 1.7× 7 0.9× 42 6.0× 17 4.3× 6 122
Jesse Alama 62 0.6× 36 0.8× 7 1.0× 7 1.8× 14 92
Eric Rosen 133 1.2× 111 2.5× 2 0.3× 22 3.1× 13 3.3× 10 169

Countries citing papers authored by Dav M. Gabbay

Since Specialization
Citations

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

Fields of papers citing papers by Dav M. Gabbay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dav M. Gabbay

This figure shows the co-authorship network connecting the top 25 collaborators of Dav M. Gabbay. A scholar is included among the top collaborators of Dav M. Gabbay based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dav M. Gabbay. Dav M. Gabbay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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