Jakub Kůdela
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 5%
- Industrial and Manufacturing Engineering top 5%
- Mechanical Engineering
- Civil and Structural Engineering top 10%
- Co-authors
- Radomil MatoušekRadovan ŠomplákVlastimír NevrlýVeronika ŠmejkalováMartin PavlasPavel CharvátMartin ZálešákLubomír Klimeš
- Topics
- Metaheuristic Optimization Algorithms Research (13 papers)Advanced Multi-Objective Optimization Algorithms (10 papers)Municipal Solid Waste Management (8 papers)
- Cited by
- Industrial and Manufacturing EngineeringComputational Theory and MathematicsStatistics, Probability and Uncertainty
- Journals
- SHILAP Revista de lepidopterologíaRenewable and Sustainable Energy ReviewsJournal of Cleaner Production
In The Last Decade
Jakub Kůdela
45 papers receiving 536 citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Artificial Intelligence 127
- Computational Theory and Mathematics 105
- Industrial and Manufacturing Engineering 103
- Mechanical Engineering 83
- Civil and Structural Engineering 73
Countries citing papers authored by Jakub Kůdela
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 11 | |
| 10 | 4 | |
| 11 | 23 | |
| 12 | 5 | |
| 13 | Recent advances and applications of surrogate models for finite element method computations: a reviewbreakdown → | 172 |
| 14 | 1 | |
| 15 | 31 | |
| 16 | 25 | |
| 17 | 2 | |
| 18 | 3 | |
| 19 | 1 | |
| 20 | 23 |
About Jakub Kůdela
Jakub Kůdela is a scholar working on Industrial and Manufacturing Engineering, Computational Theory and Mathematics and Industrial and Manufacturing Engineering, having authored 47 papers that have together received 553 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (13 papers), Advanced Multi-Objective Optimization Algorithms (10 papers) and Municipal Solid Waste Management (8 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (103 citations), Computational Theory and Mathematics (105 citations) and Statistics, Probability and Uncertainty (40 citations). Jakub Kůdela has collaborated with scholars based in Czechia, Lithuania and Germany. Frequent co-authors include Radomil Matoušek, Radovan Šomplák, Vlastimír Nevrlý, Veronika Šmejkalová, Martin Pavlas, Pavel Charvát, Martin Zálešák, Lubomír Klimeš, Remigijus Paulavičius and Michal Šyc. Their work appears in journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Journal of Cleaner Production.
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.