Gary Pamparà
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 5%
- Industrial and Manufacturing Engineering top 5%
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Topics
- Metaheuristic Optimization Algorithms Research (9 papers)Evolutionary Algorithms and Applications (8 papers)Advanced Multi-Objective Optimization Algorithms (7 papers)
- Cited by
- Artificial IntelligenceComputational Theory and MathematicsIndustrial and Manufacturing Engineering
- Journals
- Swarm and Evolutionary ComputationZenodo (CERN European Organization for Nuclear Research)Proceedings of the Genetic and Evolutionary Computation Conference Companion
- Partner nations
- South AfricaUnited StatesPuerto Rico
In The Last Decade
Gary Pamparà
12 papers receiving 405 citations
Peers
Comparison fields: 5 of 56
- Artificial Intelligence 319
- Computational Theory and Mathematics 157
- Industrial and Manufacturing Engineering 76
- Electrical and Electronic Engineering 58
- 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-authorship network of co-authors of Gary Pamparà
This figure shows the co-authorship network connecting the top 25 collaborators of Gary Pamparà. A scholar is included among the top collaborators of Gary Pamparà 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 Gary Pamparà. Gary Pamparà is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 6 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 46 | |
| 7 | 26 | |
| 8 | 26 | |
| 9 | 75 | |
| 10 | 116 | |
| 11 | 25 | |
| 12 | 5 | |
| 13 | 94 |
About Gary Pamparà
Gary Pamparà is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Information Systems and Management, having authored 13 papers that have together received 432 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (9 papers), Evolutionary Algorithms and Applications (8 papers) and Advanced Multi-Objective Optimization Algorithms (7 papers). The work is most often cited by research in Artificial Intelligence (319 citations), Computational Theory and Mathematics (157 citations) and Industrial and Manufacturing Engineering (76 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, Zenodo (CERN European Organization for Nuclear Research) and Proceedings of the Genetic and Evolutionary Computation Conference Companion.
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.