Kyle Robert Harrison
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 5%
- Control and Systems Engineering top 10%
- Electrical and Electronic Engineering
- Management Science and Operations Research top 10%
- Co-authors
- Beatrice Ombuki-BermanAndries P. EngelbrechtMario VentrescaRuhul SarkerIvan L. GaranovichSaber ElsayedTerence WeirRichard Taylor
- Topics
- Metaheuristic Optimization Algorithms Research (18 papers)Evolutionary Algorithms and Applications (14 papers)Advanced Multi-Objective Optimization Algorithms (12 papers)
- Partner nations
- CanadaSouth AfricaAustralia
In The Last Decade
Kyle Robert Harrison
30 papers receiving 435 citations
Peers
Comparison fields: 5 of 78
- Artificial Intelligence 236
- Computational Theory and Mathematics 136
- Control and Systems Engineering 88
- Electrical and Electronic Engineering 53
- Management Science and Operations Research 47
Countries citing papers authored by Kyle Robert Harrison
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
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-authorship network of co-authors of Kyle Robert Harrison
This figure shows the co-authorship network connecting the top 25 collaborators of Kyle Robert Harrison. A scholar is included among the top collaborators of Kyle Robert Harrison 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 Kyle Robert Harrison. Kyle Robert Harrison is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 12 | |
| 5 | 1 | |
| 6 | 9 | |
| 7 | 2 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 7 | |
| 11 | SB 10: Punishment Before Conviction? Alleviating Economic Injustice in California with Bail Reform | 1 |
| 12 | 26 | |
| 13 | 21 | |
| 14 | 102 | |
| 15 | 17 | |
| 16 | 17 | |
| 17 | 3 | |
| 18 | 11 | |
| 19 | 1 | |
| 20 | 7 |
About Kyle Robert Harrison
Kyle Robert Harrison is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Management Science and Operations Research, 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) and Advanced Multi-Objective Optimization Algorithms (12 papers). The work is most often cited by research in Computational Theory and Mathematics (136 citations), Artificial Intelligence (236 citations) and Control and Systems Engineering (88 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, Ivan L. Garanovich, Saber Elsayed, Terence Weir, Richard Taylor, Naresh Neupane and Leslie Ries. Their work appears in journals such as Scientific Reports, European Journal of Operational Research and IEEE Access.
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.