Michal Pluháček
- Artificial Intelligence top 2%
- Computational Theory and Mathematics top 2%
- Statistical and Nonlinear Physics top 5%
- Control and Systems Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Roman ŠenkeříkAdam ViktorinIvan ZelinkaDonald DavendraTomáš KadavýAleš ZamudaZuzana Komínková OplatkováJouni Lampinen
- Topics
- Metaheuristic Optimization Algorithms Research (59 papers)Evolutionary Algorithms and Applications (48 papers)Neural Networks and Applications (22 papers)
- Cited by
- Artificial IntelligenceComputational Theory and MathematicsStatistical and Nonlinear Physics
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessEnergy
In The Last Decade
Michal Pluháček
83 papers receiving 707 citations
Peers
Comparison fields: 5 of 79
- Artificial Intelligence 506
- Computational Theory and Mathematics 226
- Statistical and Nonlinear Physics 106
- Control and Systems Engineering 93
- Computer Vision and Pattern Recognition 73
Countries citing papers authored by Michal Pluháček
This map shows the geographic impact of Michal Pluháček'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 Michal Pluháček with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michal Pluháček more than expected).
Fields of papers citing papers by Michal Pluháček
This network shows the impact of papers produced by Michal Pluháček. 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 Michal Pluháček. The network helps show where Michal Pluháček may publish in the future.
Co-authorship network of co-authors of Michal Pluháček
This figure shows the co-authorship network connecting the top 25 collaborators of Michal Pluháček. A scholar is included among the top collaborators of Michal Pluháček 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 Michal Pluháček. Michal Pluháček is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 22 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 5 | |
| 8 | 26 | |
| 9 | 2 | |
| 10 | 8 | |
| 11 | 3 | |
| 12 | 0 | |
| 13 | 1 | |
| 14 | 0 | |
| 15 | 0 | |
| 16 | 8 | |
| 17 | 23 | |
| 18 | 17 | |
| 19 | 8 | |
| 20 | 11 |
About Michal Pluháček
Michal Pluháček is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Computational Theory and Mathematics, having authored 100 papers that have together received 730 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (59 papers), Evolutionary Algorithms and Applications (48 papers) and Neural Networks and Applications (22 papers). The work is most often cited by research in Artificial Intelligence (506 citations), Computational Theory and Mathematics (226 citations) and Statistical and Nonlinear Physics (106 citations). Michal Pluháček has collaborated with scholars based in Czechia, Vietnam and Slovenia. Frequent co-authors include Roman Šenkeřík, Adam Viktorin, Ivan Zelinka, Donald Davendra, Tomáš Kadavý, Aleš Zamuda, Zuzana Komínková Oplatková, Jouni Lampinen, Vlastimír Nevrlý and Radovan Šomplák. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Energy.
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.