Daniel D. Sleator

27 papers and 4.2k indexed citations i.

About

Daniel D. Sleator is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Daniel D. Sleator has authored 27 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 17 papers in Computer Networks and Communications and 11 papers in Computational Theory and Mathematics. Recurrent topics in Daniel D. Sleator’s work include Algorithms and Data Compression (17 papers), Optimization and Search Problems (12 papers) and Combinatorial Optimization and Complexity Theory (5 papers). Daniel D. Sleator is often cited by papers focused on Algorithms and Data Compression (17 papers), Optimization and Search Problems (12 papers) and Combinatorial Optimization and Complexity Theory (5 papers). Daniel D. Sleator collaborates with scholars based in United States, Israel and Germany. Daniel D. Sleator's co-authors include Robert E. Tarjan, Lyle A. McGeoch, Mark S. Manasse, David Temperley, William P. Thurston, Anna R. Karlin, Larry Rudolph, Paul F. Dietz, Victor K. Wei and Jon Bentley and has published in prestigious journals such as Communications of the ACM, Journal of the ACM and SIAM Journal on Computing.

In The Last Decade

Co-authorship network of co-authors of Daniel D. Sleator i

Fields of papers citing papers by Daniel D. Sleator

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel D. Sleator. 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 Daniel D. Sleator. The network helps show where Daniel D. Sleator may publish in the future.

Countries citing papers authored by Daniel D. Sleator

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025