Pavel Krömer
- Artificial Intelligence top 2%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 5%
- Computational Theory and Mathematics top 5%
- Co-authors
- Václav SnåšelJan PlatošAjith AbrahamPetr Musı́lekMichal PrauzekStanislav MišákIvan ZelinkaAdel M. Alimi
- Topics
- Evolutionary Algorithms and Applications (52 papers)Metaheuristic Optimization Algorithms Research (49 papers)Complex Network Analysis Techniques (11 papers)
In The Last Decade
Pavel Krömer
158 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 122
- Artificial Intelligence 518
- Electrical and Electronic Engineering 240
- Computer Networks and Communications 236
- Computer Vision and Pattern Recognition 175
- Computational Theory and Mathematics 121
Countries citing papers authored by Pavel Krömer
This map shows the geographic impact of Pavel Krömer'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 Pavel Krömer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pavel Krömer more than expected).
Fields of papers citing papers by Pavel Krömer
This network shows the impact of papers produced by Pavel Krömer. 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 Pavel Krömer. The network helps show where Pavel Krömer may publish in the future.
Co-authorship network of co-authors of Pavel Krömer
This figure shows the co-authorship network connecting the top 25 collaborators of Pavel Krömer. A scholar is included among the top collaborators of Pavel Krömer 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 Pavel Krömer. Pavel Krömer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 6 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | 38 | |
| 8 | Innovations in Bio-Inspired Computing and Applications: Proceedings of the 6th International Conference on Innovations in Bio-Inspired Computing and Applications | 2 |
| 9 | 24 | |
| 10 | 2 | |
| 11 | Afro-European Conference for Industrial Advancement: Proceedings of the First International Afro-European Conference for Industrial Advancement AECIA | 5 |
| 12 | 10 | |
| 13 | 5 | |
| 14 | 17 | |
| 15 | PHOTOVOLTAIC POWER PLANT POWER OUTPUT PREDICTION USING FUZZY RULES | 1 |
| 16 | 7 | |
| 17 | Evolving Quasigroups by Genetic Algorithms. | 5 |
| 18 | Query Optimization by Genetic Algorithms | 11 |
| 19 | 1 | |
| 20 | Using Genetic Algorithms for Boolean Queries Optimization. | 3 |
About Pavel Krömer
Pavel Krömer is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Industrial and Manufacturing Engineering, having authored 168 papers that have together received 1.2k indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (52 papers), Metaheuristic Optimization Algorithms Research (49 papers) and Complex Network Analysis Techniques (11 papers). The work is most often cited by research in Artificial Intelligence (518 citations), Computer Networks and Communications (236 citations) and Signal Processing (107 citations). Pavel Krömer has collaborated with scholars based in Czechia, Canada and Jordan. Frequent co-authors include Václav Snåšel, Jan Platoš, Ajith Abraham, Petr Musı́lek, Michal Prauzek, Stanislav Mišák, Ivan Zelinka, Ajith Abraham, Adel M. Alimi and Jaromír Konecny. Their work appears in journals such as IEEE Access, Energy and Buildings and IEEE Transactions on Evolutionary Computation.
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.