Ivan Zelinka
Impact in
- Statistical and Nonlinear Physics top 0.5%
- Chaos control and synchronization
- Artificial Intelligence top 0.5%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Neural Networks and Applications
Papers in
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- Metaheuristic Optimization Algorithms Research 128
- Evolutionary Algorithms and Applications 119
- Neural Networks and Applications 80
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- Chaos control and synchronization 83
- Complex Network Analysis Techniques 22
- Co-authors
- Roman Šenkeřík (152 shared papers)Donald David Davendra (80 shared papers)Michal Pluháček (90 shared papers)Zuzana Komínková Oplatková (61 shared papers)Eslam Amer (4 shared papers)Jouni Lampinen (8 shared papers)Václav Snåšel (17 shared papers)Swagatam Das (14 shared papers)
In The Last Decade
Ivan Zelinka
374 papers receiving 4.5k citations
Peers
Comparison fields: 5 of 141
- Statistical and Nonlinear Physics 1.0k
- Artificial Intelligence 2.7k
- Signal Processing 479
- Computer Networks and Communications 801
- Computational Theory and Mathematics 551
Countries citing papers authored by Ivan Zelinka
This map shows the geographic impact of Ivan Zelinka'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 Ivan Zelinka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Zelinka more than expected).
Fields of papers citing papers by Ivan Zelinka
This network shows the impact of papers produced by Ivan Zelinka. 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 Ivan Zelinka. The network helps show where Ivan Zelinka may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Zelinka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 392 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 304 | |
| 2 | 2020 | 156 | |
| 3 | 2012 | 149 | |
| 4 | 2010 | 127 | |
| 5 | Mechanical engineering design optimization by differential evolution | 1999 | 109 |
| 6 | 2013 | 104 | |
| 7 | 2010 | 99 | |
| 8 | 2020 | 95 | |
| 9 | 2015 | 82 | |
| 10 | 2016 | 68 | |
| 11 | 2020 | 67 | |
| 12 | MIXED INTEGER-DISCRETE-CONTINUOUS OPTIMIZATION BY DIFFERENTIAL EVOLUTION Part 1: the optimization method | 2004 | 66 |
| 13 | 2022 | 64 | |
| 14 | 2008 | 62 | |
| 15 | 2018 | 62 | |
| 16 | 2007 | 62 | |
| 17 | 2021 | 58 | |
| 18 | 2020 | 51 | |
| 19 | 2005 | 51 | |
| 20 | 2011 | 49 |
About Ivan Zelinka
Ivan Zelinka is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Computer Networks and Communications, having authored 392 papers that have together received 4.6k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (128 papers), Evolutionary Algorithms and Applications (119 papers), Chaos control and synchronization (83 papers), Neural Networks and Applications (80 papers), Complex Systems and Time Series Analysis (27 papers), Chaos-based Image/Signal Encryption (26 papers), Complex Network Analysis Techniques (22 papers) and Advanced Multi-Objective Optimization Algorithms (21 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.0k citations), Artificial Intelligence (2.7k citations), Signal Processing (479 citations), Computer Networks and Communications (801 citations) and Computational Theory and Mathematics (551 citations). Ivan Zelinka has collaborated with scholars based in Czechia, Vietnam and France. Frequent co-authors include Roman Šenkeřík, Donald David Davendra, Michal Pluháček, Zuzana Komínková Oplatková, Eslam Amer, Jouni Lampinen, Václav Snåšel, Swagatam Das, Ajith Abraham and Guanrong Chen. Their work appears in journals such as Swarm and Evolutionary Computation, Soft Computing, Computers & Mathematics with Applications, Lecture notes in computer science and Mathematical and Computer Modelling.
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.