Rafał Dreżewski
Impact in
-
- Brain Tumor Detection and Classification
- Artificial Intelligence top 10%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- AI in cancer detection
Papers in
-
- Metaheuristic Optimization Algorithms Research 7
- Hate Speech and Cyberbullying Detection 3
- Artificial Intelligence in Games 3
- Evolutionary Algorithms and Applications 3
-
- Advanced Neural Network Applications 8
- Co-authors
- Shoffan Saifullah (21 shared papers)Wojciech Filipkowski (2 shared papers)Leszek Siwik (5 shared papers)Marek Kisiel‐Dorohinicki (2 shared papers)Aleksander Byrski (1 shared paper)Anton Yudhana (5 shared papers)Felix Andika Dwiyanto (5 shared papers)Andri Pranolo (3 shared papers)
In The Last Decade
Rafał Dreżewski
41 papers receiving 443 citations
Peers
Comparison fields: 5 of 92
- Neurology 59
- Artificial Intelligence 184
- Computer Vision and Pattern Recognition 87
- Information Systems 94
- Management Science and Operations Research 30
Countries citing papers authored by Rafał Dreżewski
This map shows the geographic impact of Rafał Dreżewski'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 Rafał Dreżewski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rafał Dreżewski more than expected).
Fields of papers citing papers by Rafał Dreżewski
This network shows the impact of papers produced by Rafał Dreżewski. 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 Rafał Dreżewski. The network helps show where Rafał Dreżewski may publish in the future.
Co-authors
The 16 scholars most cited alongside Rafał Dreżewski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 89 | |
| 2 | 2015 | 50 | |
| 3 | 2017 | 29 | |
| 4 | 2012 | 27 | |
| 5 | 2022 | 25 | |
| 6 | 2023 | 18 | |
| 7 | 2024 | 14 | |
| 8 | 2022 | 13 | |
| 9 | 2022 | 12 | |
| 10 | 2023 | 12 | |
| 11 | 2022 | 11 | |
| 12 | 2024 | 11 | |
| 13 | 2025 | 11 | |
| 14 | 2015 | 11 | |
| 15 | 2024 | 10 | |
| 16 | Co-Evolutionary Multi-Agent System with Speciation and Resource Sharing Mechanisms | 2012 | 10 |
| 17 | 2025 | 9 | |
| 18 | 2006 | 9 | |
| 19 | 2024 | 8 | |
| 20 | Maintaining Functional Integrity in Multi-Agent Systems for Resource Allocation | 2010 | 8 |
About Rafał Dreżewski
Rafał Dreżewski is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Neurology, Radiology, Nuclear Medicine and Imaging and Information Systems, having authored 45 papers that have together received 463 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (10 papers), Advanced Neural Network Applications (8 papers), Metaheuristic Optimization Algorithms Research (7 papers), COVID-19 diagnosis using AI (6 papers), Advanced Multi-Objective Optimization Algorithms (6 papers), Hate Speech and Cyberbullying Detection (3 papers), Artificial Intelligence in Games (3 papers) and Evolutionary Algorithms and Applications (3 papers). The work is most often cited by research in Neurology (59 citations), Artificial Intelligence (184 citations), Computer Vision and Pattern Recognition (87 citations), Information Systems (94 citations) and Management Science and Operations Research (30 citations). Rafał Dreżewski has collaborated with scholars based in Poland, Indonesia and Malaysia. Frequent co-authors include Shoffan Saifullah, Wojciech Filipkowski, Leszek Siwik, Marek Kisiel‐Dorohinicki, Aleksander Byrski, Anton Yudhana, Felix Andika Dwiyanto, Andri Pranolo, R. J. Debski and Alin Khaliduzzaman. Their work appears in journals such as IEEE Access, Applied Sciences, Information Sciences, The Knowledge Engineering Review and Symmetry.
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.