Konstantinos E. Parsopoulos

7.9k total citations · 3 hit papers
87 papers, 4.9k citations indexed

About

Konstantinos E. Parsopoulos is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, Konstantinos E. Parsopoulos has authored 87 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Artificial Intelligence, 37 papers in Computational Theory and Mathematics and 17 papers in Electrical and Electronic Engineering. Recurrent topics in Konstantinos E. Parsopoulos's work include Metaheuristic Optimization Algorithms Research (42 papers), Advanced Multi-Objective Optimization Algorithms (36 papers) and Evolutionary Algorithms and Applications (28 papers). Konstantinos E. Parsopoulos is often cited by papers focused on Metaheuristic Optimization Algorithms Research (42 papers), Advanced Multi-Objective Optimization Algorithms (36 papers) and Evolutionary Algorithms and Applications (28 papers). Konstantinos E. Parsopoulos collaborates with scholars based in Greece, United States and Germany. Konstantinos E. Parsopoulos's co-authors include Michael N. Vrahatis, M.N. Vrahatis, E.C. Laskari, Elpiniki I. Papageorgiou, Thomas Bartz–Beielstein, Nicos G. Pavlidis, Peter P. Groumpos, Vassilis P. Plagianakos, Lisimachos P. Kondi and George D. Magoulas and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, IEEE Transactions on Image Processing and Computer Physics Communications.

In The Last Decade

Konstantinos E. Parsopoulos

83 papers receiving 4.6k citations

Hit Papers

Recent approaches to global optimization problems through... 2002 2026 2010 2018 2002 2004 2002 250 500 750 1000

Peers

Konstantinos E. Parsopoulos
Konstantinos E. Parsopoulos
Citations per year, relative to Konstantinos E. Parsopoulos Konstantinos E. Parsopoulos (= 1×) peers Kusum Deep

Countries citing papers authored by Konstantinos E. Parsopoulos

Since Specialization
Citations

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

Fields of papers citing papers by Konstantinos E. Parsopoulos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Konstantinos E. Parsopoulos. 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 Konstantinos E. Parsopoulos. The network helps show where Konstantinos E. Parsopoulos may publish in the future.

Co-authorship network of co-authors of Konstantinos E. Parsopoulos

This figure shows the co-authorship network connecting the top 25 collaborators of Konstantinos E. Parsopoulos. A scholar is included among the top collaborators of Konstantinos E. Parsopoulos 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 Konstantinos E. Parsopoulos. Konstantinos E. Parsopoulos 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
1.
Parsopoulos, Konstantinos E., et al.. (2025). Hybrid decomposition and deep learning approach for data-driven FOREX forecasting optimization. Journal of Global Optimization. 94(2). 427–457.
2.
Skouri, K., et al.. (2025). Probabilistic crowdshipping model for last-mile delivery. International Journal of Systems Science Operations & Logistics. 12(1).
3.
Parsopoulos, Konstantinos E., et al.. (2023). Single-objective and multi-objective optimization for variance counterbalancing in stochastic learning. Applied Soft Computing. 142. 110331–110331. 2 indexed citations
5.
Parsopoulos, Konstantinos E., et al.. (2023). Reinforcement learning for enhanced online gradient-based parameter adaptation in metaheuristics. Swarm and Evolutionary Computation. 83. 101371–101371. 11 indexed citations
6.
Parsopoulos, Konstantinos E., et al.. (2021). Algorithm Portfolios. 4 indexed citations
7.
Parsopoulos, Konstantinos E., et al.. (2017). Designing bijective S-boxes using Algorithm Portfolios with limited time budgets. Applied Soft Computing. 59. 475–486. 14 indexed citations
8.
Kondi, Lisimachos P., et al.. (2013). Fairness issues in resource allocation schemes for wireless visual sensor networks. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8666. 866601–866601. 1 indexed citations
9.
Parsopoulos, Konstantinos E., et al.. (2012). Particle swarm optimization with deliberate loss of information. Soft Computing. 16(8). 1373–1392. 21 indexed citations
10.
Katsenou, Angeliki, Lisimachos P. Kondi, Konstantinos E. Parsopoulos, & Elizabeth Serena Bentley. (2012). Quality-driven power control and resource allocation in wireless multi-rate Visual Sensor Networks. 1117–1120. 3 indexed citations
11.
Katsenou, Angeliki, et al.. (2012). Priority-based cross-layer optimization for multihop DS-CDMA Visual Sensor Networks. 1101–1104. 5 indexed citations
12.
Parsopoulos, Konstantinos E. & Michael N. Vrahatis. (2008). Chapter II Multi-Objective Particles Swarm Optimization Approaches. 3 indexed citations
13.
Parsopoulos, Konstantinos E. & Michael N. Vrahatis. (2007). Parameter selection and adaptation in Unified Particle Swarm Optimization. Mathematical and Computer Modelling. 46(1-2). 198–213. 101 indexed citations
14.
Georgiou, Vasileios, et al.. (2006). NEW SELF-ADAPTIVE PROBABILISTIC NEURAL NETWORKS IN BIOINFORMATIC AND MEDICAL TASKS. International Journal of Artificial Intelligence Tools. 15(3). 371–396. 21 indexed citations
15.
Bartz–Beielstein, Thomas, et al.. (2004). Designing particle swarm optimization with regression trees. Technische Universität Dortmund Eldorado (Technische Universität Dortmund). 4 indexed citations
16.
Pavlidis, Nicos G., Konstantinos E. Parsopoulos, & Michael N. Vrahatis. (2004). Computing Nash equilibria through computational intelligence methods. Journal of Computational and Applied Mathematics. 175(1). 113–136. 59 indexed citations
17.
Parsopoulos, Konstantinos E. & Michael N. Vrahatis. (2002). Computing Periodic Orbits of Nonlinear Mappings Through Particle Swarm Optimization. 8 indexed citations
18.
Parsopoulos, Konstantinos E.. (2002). Initializing the Particle Swarm Optimizer Using the Nonlinear Simplex Method. Musculoskeletal Care. 5(3). 119–29. 73 indexed citations
19.
Parsopoulos, Konstantinos E.. (2001). PARTICLE SWARM OPTIMIZER IN NOISY AND CONTINUOUSLY CHANGING ENVIRONMENTS. 30(4). 1170–1178. 98 indexed citations
20.
Parsopoulos, Konstantinos E., et al.. (2000). Stretching technique for obtaining global minimizers through Particle Swarm Optimization. 67 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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