Michael G. Epitropakis

1.9k citations
32 papers · 1.4k indexed · h-index 15
Topics
Metaheuristic Optimization Algorithms Research (21 papers)Advanced Multi-Objective Optimization Algorithms (16 papers)Evolutionary Algorithms and Applications (15 papers)

In The Last Decade

Michael G. Epitropakis

31 papers receiving 1.3k citations

Peers

Michael G. Epitropakis
Comparison fields: 5 of 93
  • Artificial Intelligence 1.0k
  • Computational Theory and Mathematics 804
  • Control and Systems Engineering 118
  • Industrial and Manufacturing Engineering 110
  • Computer Vision and Pattern Recognition 92
Replace Zhengping Liang with:
Zhengping Liang China
Keith E. Mathias United States
Bingdong Li China
Prakash Shelokar India
Shimpi Singh Jadon India
Abdellah Salhi United Kingdom
César Muñoz United States
S. K. Smit Netherlands
Dudy Lim Singapore
Lothar Litz Germany
Michael G. Epitropakis relative to Zhengping Liang China Zhengping Liang's profile →
Citations per field
00.5×3.3×
Zhengping Liang · 1×
Citations per year

Countries citing papers authored by Michael G. Epitropakis

Since Specialization
Citations

This map shows the geographic impact of Michael G. Epitropakis'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 Michael G. Epitropakis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael G. Epitropakis more than expected).

Fields of papers citing papers by Michael G. Epitropakis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael G. Epitropakis. 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 Michael G. Epitropakis. The network helps show where Michael G. Epitropakis may publish in the future.

Co-authorship network of co-authors of Michael G. Epitropakis

This figure shows the co-authorship network connecting the top 25 collaborators of Michael G. Epitropakis. A scholar is included among the top collaborators of Michael G. Epitropakis 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 Michael G. Epitropakis. Michael G. Epitropakis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 3
4 11
5 39
6 59
7
Results of the 2015 IEEE CEC Competition on Niching Methods for Multimodal Optimization
4
8 69
9
Pareto Efficient Multi-Objective Regression Test Suite Prioritisation
1
10 11
11
Gen-O-Fix: An embeddable framework for Dynamic Adaptive Genetic Improvement Programming
11
12 2
13 73
14 20
15 111
16 2
17 21
18 9
19 27
20 44

About Michael G. Epitropakis

Michael G. Epitropakis is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Software, having authored 32 papers that have together received 1.4k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (21 papers), Advanced Multi-Objective Optimization Algorithms (16 papers) and Evolutionary Algorithms and Applications (15 papers). The work is most often cited by research in Computational Theory and Mathematics (804 citations), Artificial Intelligence (1.0k citations) and Software (79 citations). Michael G. Epitropakis has collaborated with scholars based in United Kingdom, Greece and Australia. Frequent co-authors include Xiaodong Li, Michael N. Vrahatis, Vassilis P. Plagianakos, Andries P. Engelbrecht, Kalyanmoy Deb, Edmund Burke, Dimitris K. Tasoulis, Nicos G. Pavlidis, Ferrante Neri and Shahin Rostami. Their work appears in journals such as European Journal of Operational Research, Information Sciences and IEEE Transactions on Evolutionary Computation.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026