John M. Charnes

37 papers receiving 528 citations

Peers

John M. Charnes
Comparison fields: 5 of 79
  • Finance 215
  • Management Science and Operations Research 154
  • Industrial and Manufacturing Engineering 116
  • Statistics, Probability and Uncertainty 56
  • Strategy and Management 106
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Jeffrey L. Ringuest United States
Nalân Gülpınar United Kingdom
Barry R. Cobb United States
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Citations per year

Countries citing papers authored by John M. Charnes

Since Specialization
Citations

This map shows the geographic impact of John M. Charnes'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 John M. Charnes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John M. Charnes more than expected).

Fields of papers citing papers by John M. Charnes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John M. Charnes. 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 John M. Charnes. The network helps show where John M. Charnes may publish in the future.

Co-authors

The 24 scholars most cited alongside John M. Charnes, 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 John M. Charnes Line = papers co-authored together John M. Charnes links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000128
2 199355
3 200731
4 200429
5 199527
6 200426
7 199524
8 200220
9
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
200220
10 199118
11 199618
12
WINTER SIMULATION CONFERENCE PROCEEDINGS
199617
13 199516
14 200315
15 198815
16 199013
17 200512
18 200212
19 199712
20 199511

About John M. Charnes

John M. Charnes is a scholar working on Finance, Management Science and Operations Research, Statistics and Probability, Statistics, Probability and Uncertainty and Strategy and Management, having authored 38 papers that have together received 606 indexed citations. Recurring topics across this work include Capital Investment and Risk Analysis (12 papers), Simulation Techniques and Applications (9 papers), Stochastic processes and financial applications (8 papers), Statistical Methods and Applications (4 papers), Advanced Manufacturing and Logistics Optimization (4 papers), Financial Reporting and Valuation Research (4 papers), Advanced Statistical Process Monitoring (4 papers) and Assembly Line Balancing Optimization (3 papers). The work is most often cited by research in Finance (215 citations), Management Science and Operations Research (154 citations), Industrial and Manufacturing Engineering (116 citations), Statistics, Probability and Uncertainty (56 citations) and Strategy and Management (106 citations). John M. Charnes has collaborated with scholars based in United States, Greece and New Zealand. Frequent co-authors include D. W. Kellogg, Scott M. Shafer, Barry R. Cobb, Prakash P. Shenoy, Walter Zinn, W. David Kelton, Jane Snowdon, Howard Marmorstein, Douglas J. Morrice and Brian Cobb. Their work appears in journals such as Journal of the Operational Research Society, Management Science, International Journal of Production Research, Journal of Business Logistics and Financial Analysts Journal.

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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