Mooly Sagiv

137 papers and 2.3k indexed citations i.

About

Mooly Sagiv is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Mooly Sagiv has authored 137 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Artificial Intelligence, 47 papers in Computational Theory and Mathematics and 34 papers in Computer Networks and Communications. Recurrent topics in Mooly Sagiv’s work include Logic, programming, and type systems (54 papers), Formal Methods in Verification (44 papers) and Sperm and Testicular Function (26 papers). Mooly Sagiv is often cited by papers focused on Logic, programming, and type systems (54 papers), Formal Methods in Verification (44 papers) and Sperm and Testicular Function (26 papers). Mooly Sagiv collaborates with scholars based in Israel, United States and Germany. Mooly Sagiv's co-authors include Thomas Reps, Susan Horwitz, Reinhard Wilhelm, Michael Rodeh, Nurit Dor, R. Singer, Alex Aiken, D. Allalouf, Noam Rinetzky and C Servadio and has published in prestigious journals such as British Journal of Cancer, Communications of the ACM and Journal of the ACM.

In The Last Decade

Co-authorship network of co-authors of Mooly Sagiv i

Fields of papers citing papers by Mooly Sagiv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mooly Sagiv

Since Specialization
Citations

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