Michael Saks

108 papers and 2.2k indexed citations i.

About

Michael Saks is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Michael Saks has authored 108 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Computational Theory and Mathematics, 54 papers in Artificial Intelligence and 28 papers in Computer Networks and Communications. Recurrent topics in Michael Saks’s work include Combinatorial Optimization and Complexity Theory (42 papers), Optimization and Search Problems (22 papers) and Machine Learning and Algorithms (20 papers). Michael Saks is often cited by papers focused on Combinatorial Optimization and Complexity Theory (42 papers), Optimization and Search Problems (22 papers) and Machine Learning and Algorithms (20 papers). Michael Saks collaborates with scholars based in United States, Israel and Canada. Michael Saks's co-authors include Nathan Linial, Allan Borodin, Jeff Kahn, Ramamohan Paturi, László Lovász, Lan Yu, Paul Beame, Alexander Schrijver, C. Seshadhri and Francis Zane and has published in prestigious journals such as Journal of the ACM, Advances in Mathematics and SIAM Journal on Computing.

In The Last Decade

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

Fields of papers citing papers by Michael Saks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Michael Saks

Since Specialization
Citations

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