Štěpán Hubálovský

2.0k total citations · 2 hit papers
52 papers, 1.3k citations indexed

About

Štěpán Hubálovský is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Štěpán Hubálovský has authored 52 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 10 papers in Computational Theory and Mathematics and 8 papers in Information Systems. Recurrent topics in Štěpán Hubálovský's work include Metaheuristic Optimization Algorithms Research (11 papers), Evolutionary Algorithms and Applications (8 papers) and Advanced Multi-Objective Optimization Algorithms (7 papers). Štěpán Hubálovský is often cited by papers focused on Metaheuristic Optimization Algorithms Research (11 papers), Evolutionary Algorithms and Applications (8 papers) and Advanced Multi-Objective Optimization Algorithms (7 papers). Štěpán Hubálovský collaborates with scholars based in Czechia, India and Serbia. Štěpán Hubálovský's co-authors include Pavel Trojovský, Mohammad Dehghani, Marie Hubálovská, K. Venkatachalam, Nebojša Bačanin, Miodrag Živković, Hadi Givi, Ahmed A. Ibrahim, Arpan Desai and M. M. Kamruzzaman and has published in prestigious journals such as Scientific Reports, Computers in Human Behavior and IEEE Access.

In The Last Decade

Štěpán Hubálovský

48 papers receiving 1.2k citations

Hit Papers

Northern Goshawk Optimization: A New Swarm-Based Algorith... 2021 2026 2022 2024 2021 2022 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Štěpán Hubálovský Czechia 16 490 308 195 159 149 52 1.3k
Jingjing Li China 13 507 1.0× 141 0.5× 139 0.7× 186 1.2× 281 1.9× 54 1.1k
Mehmet Karamanoglu United Kingdom 15 579 1.2× 441 1.4× 118 0.6× 282 1.8× 240 1.6× 47 1.8k
Mohammed El-Abd Kuwait 19 633 1.3× 170 0.6× 127 0.7× 109 0.7× 288 1.9× 85 1.2k
Diego Martín Spain 20 345 0.7× 289 0.9× 187 1.0× 319 2.0× 30 0.2× 96 1.2k
Ahmed M. Helmi Egypt 19 370 0.8× 215 0.7× 429 2.2× 123 0.8× 66 0.4× 42 1.2k
Broderick Crawford Chile 20 656 1.3× 92 0.3× 144 0.7× 213 1.3× 176 1.2× 166 1.4k
Jincai Huang China 13 278 0.6× 137 0.4× 142 0.7× 122 0.8× 53 0.4× 60 848
Mukesh Soni India 22 472 1.0× 210 0.7× 174 0.9× 367 2.3× 82 0.6× 114 1.4k
João Monteiro Portugal 20 144 0.3× 458 1.5× 313 1.6× 218 1.4× 87 0.6× 122 1.4k
D. Binu India 12 411 0.8× 348 1.1× 185 0.9× 171 1.1× 64 0.4× 33 1.1k

Countries citing papers authored by Štěpán Hubálovský

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Štěpán Hubálovský

This figure shows the co-authorship network connecting the top 25 collaborators of Štěpán Hubálovský. A scholar is included among the top collaborators of Štěpán Hubálovský 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 Štěpán Hubálovský. Štěpán Hubálovský 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
1.
Hubálovská, Marie, Štěpán Hubálovský, & Pavel Trojovský. (2024). Botox Optimization Algorithm: A New Human-Based Metaheuristic Algorithm for Solving Optimization Problems. Biomimetics. 9(3). 137–137. 17 indexed citations
2.
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Hubálovský, Štěpán, et al.. (2023). A New Hybrid Particle Swarm Optimization–Teaching–Learning-Based Optimization for Solving Optimization Problems. Biomimetics. 9(1). 8–8. 5 indexed citations
4.
Givi, Hadi, et al.. (2022). Multi-Objective Real-Time Tuning of SVC Used in Electrified Traction Systems. Sensors. 22(4). 1584–1584. 2 indexed citations
5.
Dehghani, Mohammad, Štěpán Hubálovský, & Pavel Trojovský. (2022). A new optimization algorithm based on average and subtraction of the best and worst members of the population for solving various optimization problems. PeerJ Computer Science. 8. e910–e910. 26 indexed citations
6.
Dehghani, Mohammad, Štěpán Hubálovský, & Pavel Trojovský. (2022). Tasmanian Devil Optimization: A New Bio-Inspired Optimization Algorithm for Solving Optimization Algorithm. IEEE Access. 10. 19599–19620. 164 indexed citations breakdown →
7.
Živković, Miodrag, et al.. (2022). Novel hybrid firefly algorithm: an application to enhance XGBoost tuning for intrusion detection classification. PeerJ Computer Science. 8. e956–e956. 60 indexed citations
8.
Hubálovský, Štěpán, Pavel Trojovský, Nebojša Bačanin, & K. Venkatachalam. (2022). Evaluation of deepfake detection using YOLO with local binary pattern histogram. PeerJ Computer Science. 8. e1086–e1086. 7 indexed citations
9.
Venkatachalam, K., Štěpán Hubálovský, & Pavel Trojovský. (2022). Deep fake detection using a sparse auto encoder with a graph capsule dual graph CNN. PeerJ Computer Science. 8. e953–e953. 11 indexed citations
10.
Dehghani, Mohammad, Zeinab Montazeri, & Štěpán Hubálovský. (2021). GMBO: Group Mean-Based Optimizer for Solving Various Optimization Problems. Mathematics. 9(11). 1190–1190. 19 indexed citations
11.
Hubálovský, Štěpán, et al.. (2021). Application of Basic Graph Theory in Autonomous Motion of Robots. Mathematics. 9(9). 919–919. 6 indexed citations
12.
Venkatachalam, K., Siuly Siuly, Nebojša Bačanin, Štěpán Hubálovský, & Pavel Trojovský. (2021). An Efficient Gabor Walsh-Hadamard Transform Based Approach for Retrieving Brain Tumor Images From MRI. IEEE Access. 9. 119078–119089. 18 indexed citations
13.
Dehghani, Mohammad, Štěpán Hubálovský, & Pavel Trojovský. (2021). Cat and Mouse Based Optimizer: A New Nature-Inspired Optimization Algorithm. Sensors. 21(15). 5214–5214. 66 indexed citations
14.
Hubálovský, Štěpán, et al.. (2021). Snow Leopard Optimization Algorithm: A New Nature-Based Optimization Algorithm for Solving Optimization Problems. Mathematics. 9(21). 2832–2832. 29 indexed citations
15.
Bačanin, Nebojša, et al.. (2021). Chaotic Harris Hawks Optimization with Quasi-Reflection-Based Learning: An Application to Enhance CNN Design. Sensors. 21(19). 6654–6654. 57 indexed citations
16.
17.
Hubálovský, Štěpán & Eva Trojovská. (2020). Algebraic Numbers of the form αT with α Algebraic and T Transcendental. Mathematics. 8(10). 1687–1687. 1 indexed citations
18.
Trojovský, Pavel & Štěpán Hubálovský. (2020). Some Diophantine Problems Related to k-Fibonacci Numbers. Mathematics. 8(7). 1047–1047. 1 indexed citations
19.
Hubálovský, Štěpán. (2011). Modeling and simulation of real experimental device: seven storey rectification column. International Conference on Signal Processing. 63–68.
20.
Hubálovský, Štěpán, et al.. (2010). Algorithm for determination of estimates of parameters of regression straight polyline with objective elimination of outliers. 499–504. 2 indexed citations

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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