John C. Plummer

1.0k citations
13 papers · 760 · 1 hit paper · h-index 8

Impact in

Papers in

John C. Plummer

12 papers receiving 736 citations

John C. Plummer's Hit Papers

Scatter Search and Local NLP Solvers: A Multistart Framework for Global Optimization 2007 · 563 citations
5630+6+12Years since publication100200300400500

Peers

John C. Plummer
Comparison fields: 5 of 137
  • Numerical Analysis 71
  • Computational Theory and Mathematics 147
  • Control and Systems Engineering 165
  • Statistics, Probability and Uncertainty 44
  • Management Science and Operations Research 61
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Juliane Müller United States
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John C. Plummer relative to Andrew Grace United Kingdom Andrew Grace's profile →
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Countries citing papers authored by John C. Plummer

Since Specialization
Citations

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

Fields of papers citing papers by John C. Plummer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside John C. Plummer, 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 C. Plummer Line = papers co-authored together John C. Plummer links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1
Scatter Search and Local NLP Solvers: A Multistart Framework for Global Optimization
Hit paper breakdown →
2007563
2 200088
3 200526
4 199819
5 199518
6 200913
7 200611
8 198710
9
A Multistart Scatter Search Heuristic for Smooth NLP and MINLP Problems
20025
10 20115
11 20021
12 20121
13 19880

About John C. Plummer

John C. Plummer is a scholar working on Numerical Analysis, Computational Theory and Mathematics, Artificial Intelligence, Control and Systems Engineering and Software, having authored 13 papers that have together received 760 indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (8 papers), Metaheuristic Optimization Algorithms Research (5 papers), Advanced Multi-Objective Optimization Algorithms (4 papers), Iterative Methods for Nonlinear Equations (2 papers), Optimization and Variational Analysis (2 papers), Advanced Control Systems Optimization (2 papers), Spreadsheets and End-User Computing (1 paper) and Economic theories and models (1 paper). The work is most often cited by research in Numerical Analysis (71 citations), Computational Theory and Mathematics (147 citations), Control and Systems Engineering (165 citations), Statistics, Probability and Uncertainty (44 citations) and Management Science and Operations Research (61 citations). John C. Plummer has collaborated with scholars based in United States, Spain and France. Frequent co-authors include Leon S. Lasdon, Zsolt Ugray, Fred Glover, Rafael Martı́, James P. Kelly, Jonathan F. Bard, Gang Yu, Michael R. Bussieck, Allan D. Waren and Abraham Duarte. Their work appears in journals such as INFORMS journal on computing, European Journal of Operational Research, Annals of Operations Research, Computers & Operations Research and Mathematical Programming.

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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