Ivan Zelinka
Impact in
- Artificial Intelligence top 0.5%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Neural Networks and Applications
- Anomaly Detection Techniques and Applications
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- Chaos control and synchronization
Papers in
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- Metaheuristic Optimization Algorithms Research 54
- Evolutionary Algorithms and Applications 51
- Neural Networks and Applications 43
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- Chaos control and synchronization 41
- Complex Network Analysis Techniques 16
- Co-authors
- Roman Šenkeřík (73 shared papers)Donald Davendra (39 shared papers)Eslam Amer (3 shared papers)Ajith Abraham (7 shared papers)Jouni Lampinen (4 shared papers)Swagatam Das (12 shared papers)Václav Snåšel (15 shared papers)Michal Pluháček (35 shared papers)
In The Last Decade
Ivan Zelinka
221 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 130
- Artificial Intelligence 1.4k
- Statistical and Nonlinear Physics 486
- Signal Processing 359
- Computer Networks and Communications 568
- Computational Theory and Mathematics 358
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 235 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 136 | |
| 2 | 2012 | 126 | |
| 3 | Mechanical engineering design optimization by differential evolution | 1999 | 88 |
| 4 | 2010 | 82 | |
| 5 | 2012 | 78 | |
| 6 | 2020 | 74 | |
| 7 | 2013 | 68 | |
| 8 | 2015 | 66 | |
| 9 | 2020 | 63 | |
| 10 | 2010 | 59 | |
| 11 | 2018 | 58 | |
| 12 | MIXED INTEGER-DISCRETE-CONTINUOUS OPTIMIZATION BY DIFFERENTIAL EVOLUTION Part 1: the optimization method | 2004 | 55 |
| 13 | 2016 | 52 | |
| 14 | 2022 | 50 | |
| 15 | 2021 | 49 | |
| 16 | 2020 | 46 | |
| 17 | 2011 | 38 | |
| 18 | 2005 | 35 | |
| 19 | 2007 | 35 | |
| 20 | 2022 | 34 |
About Ivan Zelinka
Ivan Zelinka is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition, Computer Networks and Communications and Control and Systems Engineering, having authored 235 papers that have together received 2.7k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (54 papers), Evolutionary Algorithms and Applications (51 papers), Neural Networks and Applications (43 papers), Chaos control and synchronization (41 papers), Complex Network Analysis Techniques (16 papers), Chaos-based Image/Signal Encryption (15 papers), Complex Systems and Time Series Analysis (14 papers) and Modeling, Simulation, and Optimization (12 papers). The work is most often cited by research in Artificial Intelligence (1.4k citations), Statistical and Nonlinear Physics (486 citations), Signal Processing (359 citations), Computer Networks and Communications (568 citations) and Computational Theory and Mathematics (358 citations). Ivan Zelinka has collaborated with scholars based in Czechia, Vietnam and India. Frequent co-authors include Roman Šenkeřík, Donald Davendra, Eslam Amer, Ajith Abraham, Jouni Lampinen, Swagatam Das, Václav Snåšel, Michal Pluháček, Zuzana Komínková Oplatková and Thanh Cong Truong. Their work appears in journals such as Swarm and Evolutionary Computation, Computers & Mathematics with Applications, Soft Computing, Engineering Applications of Artificial Intelligence 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.