Shay Moran

53 papers and 316 indexed citations i.

About

Shay Moran is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Shay Moran has authored 53 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 26 papers in Computational Theory and Mathematics and 8 papers in Management Science and Operations Research. Recurrent topics in Shay Moran’s work include Machine Learning and Algorithms (28 papers), Combinatorial Optimization and Complexity Theory (18 papers) and Cryptography and Data Security (10 papers). Shay Moran is often cited by papers focused on Machine Learning and Algorithms (28 papers), Combinatorial Optimization and Complexity Theory (18 papers) and Cryptography and Data Security (10 papers). Shay Moran collaborates with scholars based in United States, Israel and Germany. Shay Moran's co-authors include Amir Yehudayoff, Claude Ederer, M. Fähnle, Po Tong, Oded Goldreich, Shimon Even, Noga Alon, Roi Livni, Daniel M. Kane and Shachar Lovett and has published in prestigious journals such as Journal of the ACM, Physical review. B, Condensed matter and Journal of Computer and System Sciences.

In The Last Decade

Co-authorship network of co-authors of Shay Moran i

Fields of papers citing papers by Shay Moran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shay Moran

Since Specialization
Citations

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