Shaull Almagor

18 papers and 80 indexed citations i.

About

Shaull Almagor is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shaull Almagor has authored 18 papers receiving a total of 80 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 12 papers in Computational Theory and Mathematics and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shaull Almagor’s work include Formal Methods in Verification (11 papers), Logic, programming, and type systems (6 papers) and Robotic Path Planning Algorithms (6 papers). Shaull Almagor is often cited by papers focused on Formal Methods in Verification (11 papers), Logic, programming, and type systems (6 papers) and Robotic Path Planning Algorithms (6 papers). Shaull Almagor collaborates with scholars based in Israel, United States and United Kingdom. Shaull Almagor's co-authors include Morteza Lahijanian, Orna Kupferman, Udi Boker, Dror Fried, Lydia E. Kavraki, Moshe Y. Vardi, Joël Ouaknine, James Worrell, Reshef Meir and Jeffrey S. Rosenschein and has published in prestigious journals such as Artificial Intelligence, Journal of the ACM and Information and Computation.

In The Last Decade

Co-authorship network of co-authors of Shaull Almagor i

Fields of papers citing papers by Shaull Almagor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shaull Almagor

Since Specialization
Citations

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