John E. Mitchell

86 papers receiving 2.0k citations

Peers

John E. Mitchell
Comparison fields: 5 of 98
  • Numerical Analysis 372
  • Statistics, Probability and Uncertainty 254
  • Civil and Structural Engineering 715
  • Industrial and Manufacturing Engineering 327
  • Organizational Behavior and Human Resource Management 306
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Gerald G. Brown United States
Gilles Savard Canada
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Citations per year

Countries citing papers authored by John E. Mitchell

Since Specialization
Citations

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

Fields of papers citing papers by John E. Mitchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside John E. Mitchell, 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 E. Mitchell Line = papers co-authored together John E. Mitchell links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007261
2 2012169
3 1994152
4 2011133
5 201596
6 201288
7 200879
8 201373
9 199459
10 199258
11 201554
12 201148
13 200046
14 201639
15 201939
16 199637
17 199536
18 201233
19 202133
20 200832

About John E. Mitchell

John E. Mitchell is a scholar working on Numerical Analysis, Computational Theory and Mathematics, Control and Systems Engineering, Industrial and Manufacturing Engineering and Civil and Structural Engineering, having authored 91 papers that have together received 2.2k indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (31 papers), Infrastructure Resilience and Vulnerability Analysis (15 papers), Optimization and Variational Analysis (13 papers), Vehicle Routing Optimization Methods (10 papers), Complexity and Algorithms in Graphs (10 papers), Computational Geometry and Mesh Generation (9 papers), Optimization and Packing Problems (9 papers) and Optimization and Mathematical Programming (9 papers). The work is most often cited by research in Numerical Analysis (372 citations), Statistics, Probability and Uncertainty (254 citations), Civil and Structural Engineering (715 citations), Industrial and Manufacturing Engineering (327 citations) and Organizational Behavior and Human Resource Management (306 citations). John E. Mitchell has collaborated with scholars based in United States, China and Chile. Frequent co-authors include William A. Wallace, Thomas C. Sharkey, Brian Borchers, Earl E. Lee, Burak Çavdaroğlu, Jong‐Shi Pang, Sarah G. Nurre, Jing Hu, Michael J. Todd and Felipe Aros‐Vera. Their work appears in journals such as Annals of Operations Research, Computational Optimization and Applications, European Journal of Operational Research, Optimization methods & software and SIAM Journal on Optimization.

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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