Jerry Swan
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 5%
- Industrial and Manufacturing Engineering top 5%
- Management Science and Operations Research top 5%
- Computer Networks and Communications top 10%
- Co-authors
- John R. WoodwardKrzysztof KrawiecGabriela OchoaMartín CarpioEnder ÖzcanGisele L. PappaEdmund BurkeGraham Kendall
- Topics
- Evolutionary Algorithms and Applications (17 papers)Metaheuristic Optimization Algorithms Research (15 papers)Advanced Multi-Objective Optimization Algorithms (11 papers)
- Partner nations
- United KingdomPolandSpain
In The Last Decade
Jerry Swan
45 papers receiving 494 citations
Peers
Comparison fields: 5 of 77
- Artificial Intelligence 303
- Computational Theory and Mathematics 139
- Industrial and Manufacturing Engineering 132
- Management Science and Operations Research 113
- Computer Networks and Communications 63
Countries citing papers authored by Jerry Swan
This map shows the geographic impact of Jerry Swan'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 Jerry Swan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jerry Swan more than expected).
Fields of papers citing papers by Jerry Swan
This network shows the impact of papers produced by Jerry Swan. 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 Jerry Swan. The network helps show where Jerry Swan may publish in the future.
Co-authorship network of co-authors of Jerry Swan
This figure shows the co-authorship network connecting the top 25 collaborators of Jerry Swan. A scholar is included among the top collaborators of Jerry Swan 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 Jerry Swan. Jerry Swan 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 | 1 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 13 | |
| 7 | 7 | |
| 8 | 6 | |
| 9 | 12 | |
| 10 | 8 | |
| 11 | 45 | |
| 12 | 15 | |
| 13 | 8 | |
| 14 | 11 | |
| 15 | 3 | |
| 16 | Guiding Evolutionary Learning by Searching for Regularities in Behavioral Trajectories: A Case for Representation Agnosticism | 2 |
| 17 | 16 | |
| 18 | AnswerTree – a hyperplace-based game for collaborative mobile learning | 6 |
| 19 | 5 | |
| 20 | Web services test bed: discovery and invocation of schematization services: a use case for OGC-EuroSDR-Agile persistent testbed for Europe | 2 |
About Jerry Swan
Jerry Swan is a scholar working on Software, Artificial Intelligence and Computational Theory and Mathematics, having authored 47 papers that have together received 522 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (17 papers), Metaheuristic Optimization Algorithms Research (15 papers) and Advanced Multi-Objective Optimization Algorithms (11 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (132 citations), Software (40 citations) and Artificial Intelligence (303 citations). Jerry Swan has collaborated with scholars based in United Kingdom, Poland and Spain. Frequent co-authors include John R. Woodward, Krzysztof Krawiec, Gabriela Ochoa, Martín Carpio, Ender Özcan, Gisele L. Pappa, Edmund Burke, Graham Kendall, Alexander E. I. Brownlee and Matthew R. Hyde. Their work appears in journals such as European Journal of Operational Research, Applied Soft Computing and Viruses.
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.