Gary Pamparà

587 total citations
13 papers, 432 citations indexed

About

Gary Pamparà is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Gary Pamparà has authored 13 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 8 papers in Computational Theory and Mathematics and 2 papers in Computer Networks and Communications. Recurrent topics in Gary Pamparà's work include Metaheuristic Optimization Algorithms Research (9 papers), Evolutionary Algorithms and Applications (8 papers) and Advanced Multi-Objective Optimization Algorithms (7 papers). Gary Pamparà is often cited by papers focused on Metaheuristic Optimization Algorithms Research (9 papers), Evolutionary Algorithms and Applications (8 papers) and Advanced Multi-Objective Optimization Algorithms (7 papers). Gary Pamparà collaborates with scholars based in South Africa, United States and Puerto Rico. Gary Pamparà's co-authors include Andries P. Engelbrecht, N. Franken, T.J. Cloete and Christopher W. Cleghorn and has published in prestigious journals such as Swarm and Evolutionary Computation, Zenodo (CERN European Organization for Nuclear Research) and Proceedings of the Genetic and Evolutionary Computation Conference Companion.

In The Last Decade

Gary Pamparà

12 papers receiving 405 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gary Pamparà South Africa 7 319 157 76 58 52 13 432
Mark W. Hauschild United States 10 374 1.2× 158 1.0× 71 0.9× 24 0.4× 35 0.7× 15 524
Scott Davies United States 8 362 1.1× 109 0.7× 55 0.7× 17 0.3× 48 0.9× 13 492
E.C. Laskari Greece 7 213 0.7× 98 0.6× 39 0.5× 98 1.7× 46 0.9× 15 407
Aziz Ouaarab Morocco 3 194 0.6× 59 0.4× 128 1.7× 36 0.6× 45 0.9× 6 349
A. Narayanan United Kingdom 5 353 1.1× 63 0.4× 33 0.4× 77 1.3× 74 1.4× 10 533
M.H. Lim Singapore 9 228 0.7× 39 0.2× 86 1.1× 60 1.0× 35 0.7× 26 374
Vera Kovačevíc-Vujčić Serbia 12 136 0.4× 363 2.3× 96 1.3× 107 1.8× 24 0.5× 26 522
Murat Aslan Türkiye 9 180 0.6× 48 0.3× 78 1.0× 55 0.9× 53 1.0× 27 325
Marin Golub Croatia 13 201 0.6× 62 0.4× 78 1.0× 43 0.7× 98 1.9× 46 403
Sasan Harifi Iran 7 192 0.6× 73 0.5× 45 0.6× 66 1.1× 45 0.9× 18 357

Countries citing papers authored by Gary Pamparà

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

13 of 13 papers shown
1.
Pamparà, Gary, et al.. (2021). Performance analysis of dynamic optimization algorithms using relative error distance. Swarm and Evolutionary Computation. 66. 100930–100930. 6 indexed citations
2.
Pamparà, Gary & Andries P. Engelbrecht. (2019). A generator for dynamically constrained optimization problems. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 1441–1448. 6 indexed citations
3.
Pamparà, Gary & Andries P. Engelbrecht. (2019). Evolutionary and swarm-intelligence algorithms through monadic composition. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 1382–1390. 3 indexed citations
4.
Pamparà, Gary & Andries P. Engelbrecht. (2015). Towards A Generic Computational Intelligence Library: Preventing Insanity. 1460–1467. 4 indexed citations
5.
Pamparà, Gary, et al.. (2014). CIlib v2.0.0 Milestone 1. Zenodo (CERN European Organization for Nuclear Research).
6.
Pamparà, Gary & Andries P. Engelbrecht. (2011). Binary artificial bee colony optimization. 5796. 1–8. 46 indexed citations
7.
Pamparà, Gary, Andries P. Engelbrecht, & T.J. Cloete. (2008). CIlib: A collaborative framework for Computational Intelligence algorithms - Part I. 1750–1757. 26 indexed citations
8.
Cloete, T.J., Andries P. Engelbrecht, & Gary Pamparà. (2008). CIlib: A collaborative framework for Computational Intelligence algorithms - Part II. 2. 1764–1773. 26 indexed citations
9.
Engelbrecht, Andries P. & Gary Pamparà. (2007). Binary differential evolution strategies. 1942–1947. 75 indexed citations
10.
Pamparà, Gary, Andries P. Engelbrecht, & N. Franken. (2006). Binary Differential Evolution. 1873–1879. 116 indexed citations
11.
Engelbrecht, Andries P., et al.. (2005). Niching ability of basic particle swarm optimization algorithms. 397–400. 25 indexed citations
12.
Engelbrecht, Andries P., et al.. (2005). CiClops: computational intelligence collaborative laboratory of pantological software. 130–137. 5 indexed citations
13.
Pamparà, Gary, N. Franken, & Andries P. Engelbrecht. (2005). Combining Particle Swarm Optimisation with angle modulation to solve binary problems. 1. 89–96. 94 indexed citations

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.

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2026