William Karush

1.5k citations
29 papers · 468 · h-index 11

Impact in

Papers in

William Karush

27 papers receiving 351 citations

Peers

William Karush
Comparison fields: 5 of 78
  • Numerical Analysis 81
  • Management Information Systems 103
  • Computational Theory and Mathematics 176
  • Industrial and Manufacturing Engineering 68
  • Management Science and Operations Research 44
Replace Franz E. Hohn with:
Franz E. Hohn United States
J. Ponstein Netherlands
Peter Nash United Kingdom
W. B. Jurkat Germany
Stavros Papastavridis Greece
Jon Folkman United States
Ján Lang United States
Anthony L. Peressini United States
Volker Nollau Germany
William Karush relative to Franz E. Hohn United States Franz E. Hohn's profile →
Citations per field
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Citations per year

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).

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.

Co-authors

The 7 scholars most cited alongside William Karush, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with William Karush Line = papers co-authored together William Karush links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 195181
2 195154
3 195754
4 195945
5 196231
6 196224
7 196623
8 196122
9 196319
10 195118
11 195815
12 196310
13 196210
14 195210
15 19528
16 19677
17 19577
18 19514
19 19514
20 19584

About William Karush

William Karush is a scholar working on Computational Theory and Mathematics, Industrial and Manufacturing Engineering, Control and Systems Engineering, Artificial Intelligence and Applied Mathematics, having authored 29 papers that have together received 468 indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (5 papers), Advanced Control Systems Optimization (4 papers), Reinforcement Learning in Robotics (4 papers), Matrix Theory and Algorithms (4 papers), Advanced Bandit Algorithms Research (3 papers), Machine Learning and Algorithms (3 papers), Optimization and Packing Problems (2 papers) and Spectral Theory in Mathematical Physics (2 papers). The work is most often cited by research in Numerical Analysis (81 citations), Management Information Systems (103 citations), Computational Theory and Mathematics (176 citations), Industrial and Manufacturing Engineering (68 citations) and Management Science and Operations Research (44 citations). William Karush has collaborated with scholars based in United States and Canada. Frequent co-authors include Richard Bellman, Magnus R. Hestenes, Andrew Vázsonyi, J. Barkley Rosser, Cornelius Lanczos, Gale Young and D. S.. Their work appears in journals such as Management Science, Proceedings of the American Mathematical Society, Journal of Applied Physics, Canadian Journal of Mathematics and Operations Research.

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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