Leonard J. Schulman

91 papers and 1.7k indexed citations i.

About

Leonard J. Schulman is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Leonard J. Schulman has authored 91 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 43 papers in Computational Theory and Mathematics and 13 papers in Computer Networks and Communications. Recurrent topics in Leonard J. Schulman’s work include Combinatorial Optimization and Complexity Theory (16 papers), Machine Learning and Algorithms (11 papers) and Quantum Computing Algorithms and Architecture (11 papers). Leonard J. Schulman is often cited by papers focused on Combinatorial Optimization and Complexity Theory (16 papers), Machine Learning and Algorithms (11 papers) and Quantum Computing Algorithms and Architecture (11 papers). Leonard J. Schulman collaborates with scholars based in United States, Israel and Canada. Leonard J. Schulman's co-authors include William Evans, Yuval Rabani, Rafail Ostrovsky, Chaitanya Swamy, Sanjoy Dasgupta, Moni Naor, David Zuckerman, Claire Kenyon, A. Srinivasan and Yuval Peres and has published in prestigious journals such as Physical Review Letters, IEEE Transactions on Information Theory and IEEE Transactions on Antennas and Propagation.

In The Last Decade

Co-authorship network of co-authors of Leonard J. Schulman i

Fields of papers citing papers by Leonard J. Schulman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leonard J. Schulman. 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 Leonard J. Schulman. The network helps show where Leonard J. Schulman may publish in the future.

Countries citing papers authored by Leonard J. Schulman

Since Specialization
Citations

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