Jiřı́ Kubalı́k
- Artificial Intelligence top 10%
- Metaheuristic Optimization Algorithms Research 17
- Evolutionary Algorithms and Applications 15
- Reinforcement Learning in Robotics 8
- Neural Networks and Applications 3
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- Advanced Multi-Objective Optimization Algorithms 9
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- Model Reduction and Neural Networks 3
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- Vehicle Routing Optimization Methods 3
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- Advanced Control Systems Optimization 3
- Co-authors
- Robert BabuškaStefan BifflNicola AnconaPavel TichýPetr PošíkRichard MordinyiTatjana WelzerIvan Rozman
- Cited by
- Artificial IntelligenceComputational Theory and MathematicsManagement Science and Operations Research
- Journals
- Expert Systems with Applications (1 paper)IEEE Access (3 papers)Applied Soft Computing (2 papers)
- Partner nations
- CzechiaNetherlandsAustria
In The Last Decade
Jiřı́ Kubalı́k
32 papers receiving 253 citations
Peers
Comparison fields: 5 of 52
- Artificial Intelligence 160
- Computational Theory and Mathematics 66
- Management Science and Operations Research 35
- Statistical and Nonlinear Physics 31
- Industrial and Manufacturing Engineering 22
Countries citing papers authored by Jiřı́ Kubalı́k
This map shows the geographic impact of Jiřı́ Kubalı́k'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 Jiřı́ Kubalı́k with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiřı́ Kubalı́k more than expected).
Fields of papers citing papers by Jiřı́ Kubalı́k
This network shows the impact of papers produced by Jiřı́ Kubalı́k. 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 Jiřı́ Kubalı́k. The network helps show where Jiřı́ Kubalı́k may publish in the future.
Co-authorship network
The 16 scholars most cited alongside Jiřı́ Kubalı́k, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 15 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 13 | |
| 6 | 2021 | 24 | |
| 7 | 2020 | 22 | |
| 8 | 2018 | 7 | |
| 9 | 2016 | 13 | |
| 10 | 2016 | 4 | |
| 11 | 2014 | 2 | |
| 12 | 2012 | 5 | |
| 13 | 2011 | 1 | |
| 14 | 2010 | 6 | |
| 15 | 2010 | 1 | |
| 16 | 2009 | 4 | |
| 17 | 2005 | 1 | |
| 18 | 2005 | 5 | |
| 19 | 2003 | 2 | |
| 20 | 2001 | 2 |
About Jiřı́ Kubalı́k
Jiřı́ Kubalı́k is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Industrial and Manufacturing Engineering, having authored 37 papers that have together received 263 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (17 papers), Evolutionary Algorithms and Applications (15 papers), Advanced Multi-Objective Optimization Algorithms (9 papers), Reinforcement Learning in Robotics (8 papers), Vehicle Routing Optimization Methods (3 papers), Model Reduction and Neural Networks (3 papers), Advanced Control Systems Optimization (3 papers) and Neural Networks and Applications (3 papers). The work is most often cited by research in Artificial Intelligence (160 citations), Computational Theory and Mathematics (66 citations) and Management Science and Operations Research (35 citations). Jiřı́ Kubalı́k has collaborated with scholars based in Czechia, Netherlands and Austria. Frequent co-authors include Robert Babuška, Stefan Biffl, Nicola Ancona, Pavel Tichý, Petr Pošík, Richard Mordinyi, Tatjana Welzer, Ivan Rozman, Petr Kadera and Hannu Jaakkola. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Applied Soft Computing.
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.