Christopher W. Cleghorn
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 2%
- Control and Systems Engineering top 10%
- Computer Vision and Pattern Recognition
- Industrial and Manufacturing Engineering top 10%
- Co-authors
- Andries P. EngelbrechtSteven JamesJulian TogeliusGabriela OchoaGary PamparàKshitij ThoratPravesh DebbaRoger Deane
- Topics
- Metaheuristic Optimization Algorithms Research (24 papers)Evolutionary Algorithms and Applications (13 papers)Advanced Multi-Objective Optimization Algorithms (12 papers)
- Partner nations
- South AfricaUnited KingdomUnited States
In The Last Decade
Christopher W. Cleghorn
30 papers receiving 453 citations
Peers
Comparison fields: 5 of 76
- Artificial Intelligence 363
- Computational Theory and Mathematics 200
- Control and Systems Engineering 65
- Computer Vision and Pattern Recognition 33
- Industrial and Manufacturing Engineering 31
Countries citing papers authored by Christopher W. Cleghorn
This map shows the geographic impact of Christopher W. Cleghorn'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 Christopher W. Cleghorn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher W. Cleghorn more than expected).
Fields of papers citing papers by Christopher W. Cleghorn
This network shows the impact of papers produced by Christopher W. Cleghorn. 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 Christopher W. Cleghorn. The network helps show where Christopher W. Cleghorn may publish in the future.
Co-authorship network of co-authors of Christopher W. Cleghorn
This figure shows the co-authorship network connecting the top 25 collaborators of Christopher W. Cleghorn. A scholar is included among the top collaborators of Christopher W. Cleghorn 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 Christopher W. Cleghorn. Christopher W. Cleghorn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 13 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 6 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 11 | |
| 12 | 20 | |
| 13 | 23 | |
| 14 | 68 | |
| 15 | 2 | |
| 16 | 25 | |
| 17 | 19 | |
| 18 | 40 | |
| 19 | 47 | |
| 20 | 65 |
About Christopher W. Cleghorn
Christopher W. Cleghorn is a scholar working on Artificial Intelligence, Modeling and Simulation and Computational Theory and Mathematics, having authored 32 papers that have together received 464 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (24 papers), Evolutionary Algorithms and Applications (13 papers) and Advanced Multi-Objective Optimization Algorithms (12 papers). The work is most often cited by research in Computational Theory and Mathematics (200 citations), Artificial Intelligence (363 citations) and Modeling and Simulation (21 citations). Christopher W. Cleghorn has collaborated with scholars based in South Africa, United Kingdom and United States. Frequent co-authors include Andries P. Engelbrecht, Steven James, Julian Togelius, Gabriela Ochoa, Gary Pamparà, Kshitij Thorat, Pravesh Debba, Roger Deane and C. J. van Rooyen. Their work appears in journals such as Information Sciences, Swarm and Evolutionary Computation and Swarm Intelligence.
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.