Konstantinos E. Parsopoulos

83 papers receiving 4.6k citations

Hit Papers

Recent approaches to global optimization problems through...20022026201020182002200420022505007501000

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Konstantinos E. Parsopoulos
Comparison fields: 5 of 152
  • Artificial Intelligence 2.7k
  • Computational Theory and Mathematics 1.6k
  • Control and Systems Engineering 859
  • Electrical and Electronic Engineering 786
  • Computer Networks and Communications 461
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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
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Chapter II Multi-Objective Particles Swarm Optimization Approaches
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13 101
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Computing Periodic Orbits of Nonlinear Mappings Through Particle Swarm Optimization
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Stretching technique for obtaining global minimizers through Particle Swarm Optimization
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About Konstantinos E. Parsopoulos

Konstantinos E. Parsopoulos is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Numerical Analysis, having authored 87 papers that have together received 4.9k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (42 papers), Advanced Multi-Objective Optimization Algorithms (36 papers) and Evolutionary Algorithms and Applications (28 papers). The work is most often cited by research in Computational Theory and Mathematics (1.6k citations), Artificial Intelligence (2.7k citations) and Control and Systems Engineering (859 citations). Konstantinos E. Parsopoulos has collaborated with scholars based in Greece, United States and Germany. Frequent 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. Their work appears in journals such as Monthly Notices of the Royal Astronomical Society, IEEE Transactions on Image Processing and Computer Physics Communications.

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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