Jakub Kůdela

929 total citations · 1 hit paper
47 papers, 553 citations indexed

About

Jakub Kůdela is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Industrial and Manufacturing Engineering. According to data from OpenAlex, Jakub Kůdela has authored 47 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 12 papers in Computational Theory and Mathematics and 8 papers in Industrial and Manufacturing Engineering. Recurrent topics in Jakub Kůdela's work include Metaheuristic Optimization Algorithms Research (13 papers), Advanced Multi-Objective Optimization Algorithms (10 papers) and Municipal Solid Waste Management (8 papers). Jakub Kůdela is often cited by papers focused on Metaheuristic Optimization Algorithms Research (13 papers), Advanced Multi-Objective Optimization Algorithms (10 papers) and Municipal Solid Waste Management (8 papers). Jakub Kůdela collaborates with scholars based in Czechia, Lithuania and Germany. Jakub Kůdela's co-authors include Radomil Matoušek, Radovan Šomplák, Vlastimír Nevrlý, Veronika Šmejkalová, Martin Pavlas, Lubomír Klimeš, Martin Zálešák, Pavel Charvát, Remigijus Paulavičius and Boleslav Zach and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Journal of Cleaner Production.

In The Last Decade

Jakub Kůdela

45 papers receiving 536 citations

Hit Papers

Recent advances and applications of surrogate models for ... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jakub Kůdela Czechia 12 127 105 103 83 73 47 553
Yunfei Cui China 9 97 0.8× 108 1.0× 17 0.2× 134 1.6× 49 0.7× 21 785
Mohamed Arezki Mellal Algeria 13 97 0.8× 57 0.5× 14 0.1× 85 1.0× 31 0.4× 46 657
Sushant S. Garud Singapore 11 101 0.8× 188 1.8× 8 0.1× 79 1.0× 23 0.3× 15 563
Jianyu Wang China 12 109 0.9× 53 0.5× 13 0.1× 22 0.3× 46 0.6× 46 426
Connor Mattson United States 2 62 0.5× 239 2.3× 7 0.1× 82 1.0× 69 0.9× 5 569
Primož Potočnik Slovenia 16 123 1.0× 51 0.5× 20 0.2× 169 2.0× 41 0.6× 48 882
Xiaochen Hao China 16 110 0.9× 39 0.4× 38 0.4× 140 1.7× 80 1.1× 95 699
Imran Mahmood Pakistan 14 56 0.4× 32 0.3× 40 0.4× 15 0.2× 13 0.2× 46 532
Mika Liukkonen Finland 16 67 0.5× 11 0.1× 105 1.0× 146 1.8× 24 0.3× 38 664

Countries citing papers authored by Jakub Kůdela

Since Specialization
Citations

This map shows the geographic impact of Jakub Kůdela'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 Jakub Kůdela with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jakub Kůdela more than expected).

Fields of papers citing papers by Jakub Kůdela

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jakub Kůdela. 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 Jakub Kůdela. The network helps show where Jakub Kůdela may publish in the future.

Co-authorship network of co-authors of Jakub Kůdela

This figure shows the co-authorship network connecting the top 25 collaborators of Jakub Kůdela. A scholar is included among the top collaborators of Jakub Kůdela 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 Jakub Kůdela. Jakub Kůdela 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.
Kůdela, Jakub, et al.. (2025). Benchmarking global optimization techniques for unmanned aerial vehicle path planning. Expert Systems with Applications. 293. 128645–128645.
2.
Šomplák, Radovan, et al.. (2024). Dynamic reduction of network flow optimization problem: Case of waste-to-energy infrastructure planning in Czech Republic. Energy Conversion and Management X. 24. 100707–100707.
3.
Zálešák, Martin, et al.. (2024). Inverse identification of thermal behaviour of a paraffin-based phase change material in complete and partial phase change cycles. Thermal Science and Engineering Progress. 51. 102585–102585. 2 indexed citations
4.
Kůdela, Jakub, et al.. (2024). Soft computing methods in the solution of an inverse heat transfer problem with phase change: A comparative study. Engineering Applications of Artificial Intelligence. 133. 108229–108229. 5 indexed citations
5.
Zach, Boleslav, et al.. (2024). Membrane-based carbon capture for waste-to-energy: Process performance, impact, and time-efficient optimization. Energy. 310. 133229–133229. 3 indexed citations
6.
Kůdela, Jakub, et al.. (2024). Hot Off the Press: Benchmarking Derivative-Free Global Optimization Algorithms under Limited Dimensions and Large Evaluation Budgets. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 57–58. 1 indexed citations
7.
Kůdela, Jakub. (2023). Chance-Constrained Optimization Formulation for Ship Conceptual Design: A Comparison of Metaheuristic Algorithms. Computers. 12(11). 225–225. 4 indexed citations
8.
Zálešák, Martin, et al.. (2023). Solution approaches to inverse heat transfer problems with and without phase changes: A state-of-the-art review. Energy. 278. 127974–127974. 23 indexed citations
9.
Kůdela, Jakub, et al.. (2023). Assessment of the performance of metaheuristic methods used for the inverse identification of effective heat capacity of phase change materials. Expert Systems with Applications. 238. 122373–122373. 11 indexed citations
10.
Kůdela, Jakub, et al.. (2023). Optimal control of combined heat and power station operation. Optimization and Engineering. 25(1). 121–145. 5 indexed citations
11.
Kůdela, Jakub. (2023). Benchmarking State-of-the-art DIRECT-type Methods on the BBOB Noiseless Testbed. Brno University of Technology Digital Library (Brno University of Technology). 1620–1627. 1 indexed citations
12.
Kůdela, Jakub, et al.. (2023). Evolutionary Computation Techniques for Path Planning Problems in Industrial Robotics: A State-of-the-Art Review. Computation. 11(12). 245–245. 5 indexed citations
13.
Šomplák, Radovan, Veronika Šmejkalová, & Jakub Kůdela. (2022). Mixed-integer quadratic optimization for waste flow quantification. Optimization and Engineering. 23(4). 2177–2201. 7 indexed citations
14.
Kůdela, Jakub. (2021). Mixed-Integer Programming Model for Ranking Universities: Letting Universities Choose the Weights. SHILAP Revista de lepidopterología. 27(1). 41–48. 3 indexed citations
15.
Kůdela, Jakub, et al.. (2020). The Potential for Future Material Recovery of Municipal Solid Waste: Inputs for Sustainable Infrastructure Planning. SHILAP Revista de lepidopterología. 1 indexed citations
16.
Šomplák, Radovan, et al.. (2019). Pricing and advertising strategies in conceptual waste management planning. Journal of Cleaner Production. 239. 118068–118068. 31 indexed citations
17.
Kůdela, Jakub, et al.. (2018). Robust Waste Transfer Station Planning by Stochastic Programming. SHILAP Revista de lepidopterología. 2 indexed citations
18.
Kůdela, Jakub, et al.. (2017). The L-shaped method for large-scale mixed-integer waste management decision making problems. SHILAP Revista de lepidopterología. 1 indexed citations
19.
Šomplák, Radovan, et al.. (2017). Robust Facility Location Problem for Bio-waste Transportation. SHILAP Revista de lepidopterología. 3 indexed citations
20.
Pavlas, Martin, et al.. (2017). Spatially distributed production data for supply chain models - Forecasting with hazardous waste. Journal of Cleaner Production. 161. 1317–1328. 23 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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