William Karush

27 papers and 429 indexed citations i.

About

William Karush is a scholar working on Computational Theory and Mathematics, Industrial and Manufacturing Engineering and Artificial Intelligence. According to data from OpenAlex, William Karush has authored 27 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computational Theory and Mathematics, 7 papers in Industrial and Manufacturing Engineering and 6 papers in Artificial Intelligence. Recurrent topics in William Karush’s work include Scheduling and Optimization Algorithms (5 papers), Matrix Theory and Algorithms (4 papers) and Reinforcement Learning in Robotics (4 papers). William Karush is often cited by papers focused on Scheduling and Optimization Algorithms (5 papers), Matrix Theory and Algorithms (4 papers) and Reinforcement Learning in Robotics (4 papers). William Karush collaborates with scholars based in United States and Canada. William Karush's co-authors include Richard Bellman, Magnus R. Hestenes, Andrew Vázsonyi, J. Barkley Rosser, Cornelius Lanczos, Gale Young and D. S. and has published in prestigious journals such as Journal of Applied Physics, Management Science and Mathematics of Computation.

In The Last Decade

Co-authorship network of co-authors of William Karush i

Fields of papers citing papers by William Karush

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by William Karush

Since Specialization
Citations

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