Gary Pamparà
Impact in
- Artificial Intelligence top 5%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
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- Advanced Multi-Objective Optimization Algorithms
Papers in
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- Metaheuristic Optimization Algorithms Research 9
- Evolutionary Algorithms and Applications 8
- Artificial Intelligence in Games 1
- AI-based Problem Solving and Planning 1
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- Advanced Multi-Objective Optimization Algorithms 7
- Co-authors
- Andries P. Engelbrecht (12 shared papers)N. Franken (2 shared papers)T.J. Cloete (2 shared papers)Christopher W. Cleghorn (1 shared paper)
- Journals
- Swarm and Evolutionary Computation (1 paper)Proceedings of the Genetic and Evolutionary Computation Conference Companion (2 papers)Zenodo (CERN European Organization for Nuclear Research) (1 paper)
- Partner nations
- South AfricaUnited StatesPuerto Rico
In The Last Decade
Gary Pamparà
12 papers receiving 406 citations
Peers
Comparison fields: 5 of 56
- Artificial Intelligence 318
- Computational Theory and Mathematics 157
- Industrial and Manufacturing Engineering 76
- Management Science and Operations Research 36
- Computer Networks and Communications 52
Countries citing papers authored by Gary Pamparà
This map shows the geographic impact of Gary Pamparà'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 Gary Pamparà with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary Pamparà more than expected).
Fields of papers citing papers by Gary Pamparà
This network shows the impact of papers produced by Gary Pamparà. 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 Gary Pamparà. The network helps show where Gary Pamparà may publish in the future.
Co-authors
The 4 scholars most cited alongside Gary Pamparà, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 116 | |
| 2 | 2005 | 94 | |
| 3 | 2007 | 74 | |
| 4 | 2011 | 46 | |
| 5 | 2008 | 26 | |
| 6 | 2008 | 26 | |
| 7 | 2005 | 25 | |
| 8 | 2019 | 6 | |
| 9 | 2021 | 6 | |
| 10 | 2005 | 5 | |
| 11 | 2015 | 4 | |
| 12 | 2019 | 3 | |
| 13 | 2014 | 0 |
About Gary Pamparà
Gary Pamparà is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Information Systems and Information Systems and Management, having authored 13 papers that have together received 431 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (9 papers), Evolutionary Algorithms and Applications (8 papers), Advanced Multi-Objective Optimization Algorithms (7 papers), Artificial Intelligence in Games (1 paper), AI-based Problem Solving and Planning (1 paper), Advanced Database Systems and Queries (1 paper), Vehicle Routing Optimization Methods (1 paper) and Data Mining Algorithms and Applications (1 paper). The work is most often cited by research in Artificial Intelligence (318 citations), Computational Theory and Mathematics (157 citations), Industrial and Manufacturing Engineering (76 citations), Management Science and Operations Research (36 citations) and Computer Networks and Communications (52 citations). Gary Pamparà has collaborated with scholars based in South Africa, United States and Puerto Rico. Frequent co-authors include Andries P. Engelbrecht, N. Franken, T.J. Cloete and Christopher W. Cleghorn. Their work appears in journals such as Swarm and Evolutionary Computation, Proceedings of the Genetic and Evolutionary Computation Conference Companion and Zenodo (CERN European Organization for Nuclear Research).
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.