Kyle Robert Harrison

699 citations
30 papers · 442 · h-index 11

Impact in

Papers in

Kyle Robert Harrison

30 papers receiving 435 citations

Peers

Kyle Robert Harrison
Comparison fields: 5 of 78
  • Computational Theory and Mathematics 136
  • Artificial Intelligence 236
  • Control and Systems Engineering 88
  • Management Science and Operations Research 47
  • Industrial and Manufacturing Engineering 37
Replace Biao Xu with:
Biao Xu China
Dongdong Yang China
Morteza Alinia Ahandani Iran
Juxia Xiong China
João A. Duro United Kingdom
Hongwei Dai China
Daqing Wu China
E.C. Laskari Greece
Esther Villar-Rodríguez Spain
Eitaro Aiyoshi Japan
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Citations per field
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Citations per year

Countries citing papers authored by Kyle Robert Harrison

Since Specialization
Citations

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

Fields of papers citing papers by Kyle Robert Harrison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyle Robert Harrison. 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 Kyle Robert Harrison. The network helps show where Kyle Robert Harrison may publish in the future.

Co-authors

The 12 scholars most cited alongside Kyle Robert Harrison, 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 Kyle Robert Harrison Line = papers co-authored together Kyle Robert Harrison links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017102
2 201672
3 201848
4 201928
5 201726
6 201721
7 201617
8 201717
9 202015
10 202212
11 201511
12 20219
13 20197
14 20217
15 20147
16 20167
17 20137
18 20206
19 20205
20 20224

About Kyle Robert Harrison

Kyle Robert Harrison is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Control and Systems Engineering, Management Science and Operations Research and Molecular Biology, having authored 30 papers that have together received 442 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (18 papers), Evolutionary Algorithms and Applications (14 papers), Advanced Multi-Objective Optimization Algorithms (12 papers), Resource-Constrained Project Scheduling (5 papers), Advanced Algorithms and Applications (4 papers), Construction Project Management and Performance (3 papers), Optimization and Packing Problems (2 papers) and Reliability and Maintenance Optimization (2 papers). The work is most often cited by research in Computational Theory and Mathematics (136 citations), Artificial Intelligence (236 citations), Control and Systems Engineering (88 citations), Management Science and Operations Research (47 citations) and Industrial and Manufacturing Engineering (37 citations). Kyle Robert Harrison has collaborated with scholars based in Canada, South Africa and Australia. Frequent co-authors include Beatrice Ombuki-Berman, Andries P. Engelbrecht, Mario Ventresca, Ruhul Sarker, Saber Elsayed, Terence Weir, Ivan L. Garanovich, Richard Taylor, Karen S. Oberhauser and Naresh Neupane. Their work appears in journals such as Swarm Intelligence, IEEE Access, Swarm and Evolutionary Computation, Scientific Reports and Information Sciences.

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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