Peter A. Whigham

2.3k citations
95 papers · 1.4k · h-index 18

Impact in

    • Evolutionary Algorithms and Applications
    • Metaheuristic Optimization Algorithms Research
    • Reinforcement Learning in Robotics
  • Software top 5%

Papers in

    • Evolutionary Algorithms and Applications 28
    • Metaheuristic Optimization Algorithms Research 21
    • Neural Networks and Applications 8
    • Evolution and Genetic Dynamics 17

Peter A. Whigham

86 papers receiving 1.3k citations

Peers

Peter A. Whigham
Comparison fields: 5 of 128
  • Artificial Intelligence 592
  • Software 68
  • Environmental Engineering 240
  • Water Science and Technology 180
  • Nature and Landscape Conservation 139
Replace Antonio Salmerón with:
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Yan Ma China
Michael Dalton United States
Gordon J. Ross United Kingdom
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Peter A. Whigham relative to Antonio Salmerón Spain Antonio Salmerón's profile →
Citations per field
00.5×1.5×2.3×
Antonio Salmerón · 1×
Citations per year

Countries citing papers authored by Peter A. Whigham

Since Specialization
Citations

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

Fields of papers citing papers by Peter A. Whigham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter A. Whigham. 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 Peter A. Whigham. The network helps show where Peter A. Whigham may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010202
2 2001137
3 200976
4 199572
5 201565
6 199657
7 200751
8 200248
9 200346
10 200942
11
Time series modeling using genetic programming: an application to rainfall-runoff models
199932
12 200132
13 200127
14 200226
15 201524
16 200023
17 200822
18 201521
19 201717
20 200716

About Peter A. Whigham

Peter A. Whigham is a scholar working on Artificial Intelligence, Genetics, Nature and Landscape Conservation, Sociology and Political Science and Economics and Econometrics, having authored 95 papers that have together received 1.4k indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (28 papers), Metaheuristic Optimization Algorithms Research (21 papers), Evolution and Genetic Dynamics (17 papers), Ecology and Vegetation Dynamics Studies (10 papers), Evolutionary Game Theory and Cooperation (9 papers), Neural Networks and Applications (8 papers), Complex Systems and Time Series Analysis (8 papers) and Fish Ecology and Management Studies (6 papers). The work is most often cited by research in Artificial Intelligence (592 citations), Software (68 citations), Environmental Engineering (240 citations), Water Science and Technology (180 citations) and Nature and Landscape Conservation (139 citations). Peter A. Whigham has collaborated with scholars based in New Zealand, Australia and United States. Frequent co-authors include P.F. Crapper, Grant Dick, Friedrich Recknagel, Bob McKay, Michael O’Neill, Nguyễn Xuân Hoài, John Langley, Kypros Kypri, Kwang‐Seuk Jeong and Gea‐Jae Joo. Their work appears in journals such as Genetic Programming and Evolvable Machines, Ecological Modelling, Austral Ecology, IEEE Transactions on Evolutionary Computation and Mathematical and Computer Modelling.

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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