Štěpán Hubálovský
Impact in
- Artificial Intelligence top 2%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Anomaly Detection Techniques and Applications
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- Digital Media Forensic Detection
Papers in
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- Metaheuristic Optimization Algorithms Research 11
- Evolutionary Algorithms and Applications 8
- Anomaly Detection Techniques and Applications 3
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- Advanced Multi-Objective Optimization Algorithms 7
- Co-authors
- Pavel Trojovský (18 shared papers)Mohammad Dehghani (6 shared papers)Marie Hubálovská (5 shared papers)K. Venkatachalam (9 shared papers)Nebojša Bačanin (5 shared papers)Miodrag Živković (2 shared papers)Hadi Givi (2 shared papers)Arpan Desai (1 shared paper)
In The Last Decade
Štěpán Hubálovský
48 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Artificial Intelligence 490
- Computer Vision and Pattern Recognition 195
- Computational Theory and Mathematics 149
- Computer Science Applications 50
- Energy Engineering and Power Technology 25
Countries citing papers authored by Štěpán Hubálovský
This map shows the geographic impact of Štěpán Hubálovský'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 Štěpán Hubálovský with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Štěpán Hubálovský more than expected).
Fields of papers citing papers by Štěpán Hubálovský
This network shows the impact of papers produced by Štěpán Hubálovský. 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 Štěpán Hubálovský. The network helps show where Štěpán Hubálovský may publish in the future.
Co-authors
The 25 scholars most cited alongside Štěpán Hubálovský, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Northern Goshawk Optimization: A New Swarm-Based Algorithm for Solving Optimization Problems Hit paper breakdown → | 2021 | 334 |
| 2 | Tasmanian Devil Optimization: A New Bio-Inspired Optimization Algorithm for Solving Optimization Algorithm Hit paper breakdown → | 2022 | 164 |
| 3 | 2018 | 93 | |
| 4 | 2022 | 81 | |
| 5 | 2021 | 66 | |
| 6 | 2022 | 65 | |
| 7 | 2022 | 60 | |
| 8 | 2021 | 57 | |
| 9 | 2023 | 43 | |
| 10 | 2021 | 29 | |
| 11 | 2022 | 28 | |
| 12 | 2022 | 26 | |
| 13 | 2022 | 20 | |
| 14 | 2021 | 19 | |
| 15 | 2021 | 18 | |
| 16 | 2024 | 17 | |
| 17 | 2022 | 14 | |
| 18 | 2023 | 11 | |
| 19 | 2020 | 11 | |
| 20 | 2022 | 11 |
About Štěpán Hubálovský
Štěpán Hubálovský is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Information Systems, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 52 papers that have together received 1.3k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (11 papers), Evolutionary Algorithms and Applications (8 papers), Advanced Multi-Objective Optimization Algorithms (7 papers), Generative Adversarial Networks and Image Synthesis (4 papers), Anomaly Detection Techniques and Applications (3 papers), Digital Media Forensic Detection (3 papers), Engineering Technology and Methodologies (2 papers) and Artificial Intelligence in Education (2 papers). The work is most often cited by research in Artificial Intelligence (490 citations), Computer Vision and Pattern Recognition (195 citations), Computational Theory and Mathematics (149 citations), Computer Science Applications (50 citations) and Energy Engineering and Power Technology (25 citations). Štěpán Hubálovský has collaborated with scholars based in Czechia, India and Serbia. Frequent co-authors include Pavel Trojovský, Mohammad Dehghani, Marie Hubálovská, K. Venkatachalam, Nebojša Bačanin, Miodrag Živković, Hadi Givi, Arpan Desai, M. M. Kamruzzaman and Ahmed A. Ibrahim. Their work appears in journals such as IEEE Access, PeerJ Computer Science, Sensors, Mobile Networks and Applications and Computers, materials & continua/Computers, materials & continua (Print).
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.