Michael Sipser

20 papers and 2.0k indexed citations i.

About

Michael Sipser is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Michael Sipser has authored 20 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computational Theory and Mathematics, 11 papers in Artificial Intelligence and 6 papers in Computer Networks and Communications. Recurrent topics in Michael Sipser’s work include Combinatorial Optimization and Complexity Theory (5 papers), Computability, Logic, AI Algorithms (5 papers) and semigroups and automata theory (4 papers). Michael Sipser is often cited by papers focused on Combinatorial Optimization and Complexity Theory (5 papers), Computability, Logic, AI Algorithms (5 papers) and semigroups and automata theory (4 papers). Michael Sipser collaborates with scholars based in United States and Greece. Michael Sipser's co-authors include Merrick L. Furst, James B. Saxe, Richard M. Karp, Lance Fortnow, David Lichtenstein, Christos H. Papadimitriou, John Rompel, Jeffrey Goldstone, Sam Gutmann and Edward Farhi and has published in prestigious journals such as Nature, Physical Review Letters and Physical Review A.

In The Last Decade

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

Fields of papers citing papers by Michael Sipser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Michael Sipser

Since Specialization
Citations

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