John Plummer

1.0k total citations · 1 hit paper
11 papers, 677 citations indexed

About

John Plummer is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, John Plummer has authored 11 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Numerical Analysis, 6 papers in Computational Theory and Mathematics and 5 papers in Artificial Intelligence. Recurrent topics in John Plummer's work include Advanced Optimization Algorithms Research (7 papers), Metaheuristic Optimization Algorithms Research (5 papers) and Advanced Multi-Objective Optimization Algorithms (4 papers). John Plummer is often cited by papers focused on Advanced Optimization Algorithms Research (7 papers), Metaheuristic Optimization Algorithms Research (5 papers) and Advanced Multi-Objective Optimization Algorithms (4 papers). John Plummer collaborates with scholars based in United States, Spain and United Kingdom. John Plummer's 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 Lynne Stokes and has published in prestigious journals such as European Journal of Operational Research, Mathematical Programming and Computers & Operations Research.

In The Last Decade

John Plummer

10 papers receiving 651 citations

Hit Papers

Scatter Search and Local ... 2007 2026 2013 2019 2007 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
John Plummer 138 110 97 84 68 11 677
Zhong Wang 171 1.2× 99 0.9× 128 1.3× 39 0.5× 30 0.4× 60 782
Zhou Zhou 106 0.8× 42 0.4× 110 1.1× 99 1.2× 135 2.0× 297 975
Craig T. Lawrence 155 1.1× 178 1.6× 58 0.6× 68 0.8× 32 0.5× 11 646
Dimitrios Rovas 119 0.9× 92 0.8× 319 3.3× 39 0.5× 123 1.8× 88 1.6k
Tjalling Ypma 101 0.7× 249 2.3× 85 0.9× 33 0.4× 68 1.0× 38 901
Waltraud Huyer 143 1.0× 264 2.4× 56 0.6× 106 1.3× 29 0.4× 11 803
Francesco Rossi 269 1.9× 71 0.6× 28 0.3× 65 0.8× 91 1.3× 100 1.3k
W. J. Whiten 111 0.8× 47 0.4× 71 0.7× 94 1.1× 350 5.1× 41 892
Xun Huan 129 0.9× 203 1.8× 107 1.1× 53 0.6× 76 1.1× 69 1.1k
Andrew Grace 409 3.0× 123 1.1× 208 2.1× 107 1.3× 163 2.4× 10 1.3k

Countries citing papers authored by John Plummer

Since Specialization
Citations

This map shows the geographic impact of John 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 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 Plummer more than expected).

Fields of papers citing papers by John Plummer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Plummer

This figure shows the co-authorship network connecting the top 25 collaborators of John Plummer. A scholar is included among the top collaborators of John Plummer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John Plummer. John Plummer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Glover, Fred, Leon S. Lasdon, John Plummer, et al.. (2011). Pseudo-Cut Strategies for Global Optimization. International Journal of Applied Metaheuristic Computing. 2(4). 1–12. 5 indexed citations
2.
Ugray, Zsolt, Leon S. Lasdon, John Plummer, & Michael R. Bussieck. (2009). Dynamic filters and randomized drivers for the multi-start global optimization algorithm MSNLP. Optimization methods & software. 24(4-5). 635–656. 11 indexed citations
3.
Ugray, Zsolt, Leon S. Lasdon, John Plummer, et al.. (2007). Scatter Search and Local NLP Solvers: A Multistart Framework for Global Optimization. INFORMS journal on computing. 19(3). 328–340. 525 indexed citations breakdown →
4.
Ugray, Zsolt, Leon S. Lasdon, John Plummer, et al.. (2006). Scatter Search and Local Nlp Solvers: A Multistart Framework for Global Optimization. SSRN Electronic Journal. 18 indexed citations
5.
Lasdon, Leon S. & John Plummer. (2006). Multistart algorithms for seeking feasibility. Computers & Operations Research. 35(5). 1379–1393. 7 indexed citations
6.
Lasdon, Leon S., Zsolt Ugray, John Plummer, et al.. (2002). A Multistart Scatter Search Heuristic for Smooth NLP and MINLP Problems. RePEc: Research Papers in Economics. 4 indexed citations
7.
Stokes, Lynne & John Plummer. (2002). Using spreadsheet solvers in sample design. Quality Engineering. 44(3). 527–546. 1 indexed citations
9.
Lasdon, Leon S., John Plummer, & Gang Yu. (1995). Primal-Dual and Primal Interior Point Algorithms for General Nonlinear Programs. INFORMS Journal on Computing. 7(3). 321–332. 15 indexed citations
10.
Plummer, John, et al.. (1988). Solving a large nonlinear programming problem on a vector processing computer. Annals of Operations Research. 14(1). 291–304.
11.
Lasdon, Leon S., et al.. (1987). Optimal design of efficient acoustic antenna arrays. Mathematical Programming. 39(2). 131–155. 8 indexed citations

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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