Kyle Robert Harrison

713 citations
37 papers · 553 · h-index 13

Impact in

Papers in

Kyle Robert Harrison

36 papers receiving 547 citations

Peers

Kyle Robert Harrison
Comparison fields: 5 of 83
  • Computational Theory and Mathematics 177
  • Artificial Intelligence 294
  • Management Science and Operations Research 67
  • Control and Systems Engineering 117
  • Industrial and Manufacturing Engineering 47
Replace Dongdong Yang with:
Dongdong Yang China
Zhongbo Hu China
Hira Zaheer India
Jiao-Hong Yi China
Biao Xu China
Lie Meng Pang China
João A. Duro United Kingdom
Charoenchai Khompatraporn Thailand
Krishnendu Sanyal India
Esther Villar-Rodríguez Spain
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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 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017115
2 201680
3 201854
4 201930
5 201728
6 201722
7 201621
8 201720
9 202019
10 201518
11 201317
12 202214
13 201514
14 202111
15 20198
16 20218
17 20208
18 20168
19 20208
20 20197

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 Statistical and Nonlinear Physics, having authored 37 papers that have together received 553 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (21 papers), Evolutionary Algorithms and Applications (16 papers), Advanced Multi-Objective Optimization Algorithms (15 papers), Resource-Constrained Project Scheduling (7 papers), Advanced Algorithms and Applications (4 papers), Complex Network Analysis Techniques (4 papers), Construction Project Management and Performance (3 papers) and Gene Regulatory Network Analysis (3 papers). The work is most often cited by research in Computational Theory and Mathematics (177 citations), Artificial Intelligence (294 citations), Management Science and Operations Research (67 citations), Control and Systems Engineering (117 citations) and Industrial and Manufacturing Engineering (47 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, Ivan L. Garanovich, Ruhul Sarker, Saber Elsayed, Terence Weir, Richard Taylor, Leslie Ries and Karen S. Oberhauser. Their work appears in journals such as IEEE Access, Swarm Intelligence, European Journal of Operational Research, Data in Brief and Swarm and Evolutionary Computation.

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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