Thomas Haynes

705 citations
23 papers · 306 · h-index 9

Impact in

Papers in

    • Metaheuristic Optimization Algorithms Research 12
    • Evolutionary Algorithms and Applications 11
    • Multi-Agent Systems and Negotiation 5
    • AI-based Problem Solving and Planning 3
    • Reinforcement Learning in Robotics 3
    • Semantic Web and Ontologies 2
    • Optimization and Search Problems 3

Thomas Haynes

23 papers receiving 269 citations

Peers

Thomas Haynes
Comparison fields: 5 of 47
  • Artificial Intelligence 210
  • Management Science and Operations Research 50
  • Computer Networks and Communications 63
  • Human-Computer Interaction 7
  • Information Systems and Management 7
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Citations per field
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Citations per year

Countries citing papers authored by Thomas Haynes

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Haynes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Thomas Haynes, 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 Thomas Haynes Line = papers co-authored together Thomas Haynes links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Strongly Typed Genetic Programming in Evolving Cooperation Strategies
199560
2 199745
3 199739
4
Evolving a Team
199537
5 201020
6 199818
7
Learning Cases to Compliment Rules for Conflict Resolution in Multiagent Systems
199614
8 199510
9 19989
10
Phenotypical Building Blocks for Genetic Programming.
19978
11 19998
12
Duplication of coding segments in genetic programming
19967
13
Evolving Cooperation Strategies.
19956
14
NFS Version 4 Minor Version 2
20115
15
Collective adaptation: the sharing of building blocks
19985
16
Adaptation Using Cases in Cooperative Groups
20025
17 20044
18 19961
19 19961
20 19991

About Thomas Haynes

Thomas Haynes is a scholar working on Artificial Intelligence, Computer Networks and Communications, Molecular Biology, Computer Science Applications and Clinical Psychology, having authored 23 papers that have together received 306 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (12 papers), Evolutionary Algorithms and Applications (11 papers), Multi-Agent Systems and Negotiation (5 papers), AI-based Problem Solving and Planning (3 papers), Reinforcement Learning in Robotics (3 papers), Optimization and Search Problems (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Semantic Web and Ontologies (2 papers). The work is most often cited by research in Artificial Intelligence (210 citations), Management Science and Operations Research (50 citations), Computer Networks and Communications (63 citations), Human-Computer Interaction (7 citations) and Information Systems and Management (7 citations). Thomas Haynes has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Sandip Sen, Roger L. Wainwright, Neeraj K. Arora, Dale A. Schoenefeld, Louise Jones, Kit Lau, Roger Manktelow, Matthew J. Kessler, Wenji Wu and Ricardo Martí­nez. Their work appears in journals such as International Journal of Human-Computer Studies, Early Popular Visual Culture, Evolutionary Computation, The British Journal of Social Work and international conference on Genetic algorithms.

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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