Robert Burduk
Impact in
- Artificial Intelligence top 10%
- Neural Networks and Applications
- Imbalanced Data Classification Techniques
- Machine Learning and Data Classification
- Anomaly Detection Techniques and Applications
- Fuzzy Logic and Control Systems
- Data Stream Mining Techniques
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- Face and Expression Recognition
Papers in
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- Neural Networks and Applications 27
- Fuzzy Logic and Control Systems 20
- Machine Learning and Data Classification 12
- Statistical and Computational Modeling 11
- Imbalanced Data Classification Techniques 9
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- Face and Expression Recognition 14
- Co-authors
- Marek Kurzyński (4 shared papers)Michał Woźniak (5 shared papers)Konrad Jackowski (3 shared papers)Krzysztof Walkowiak (2 shared papers)Leszek Jurdziak (1 shared paper)Ryszard Błażej (1 shared paper)Jacek Reiner (4 shared papers)Paweł Ksieniewicz (2 shared papers)
In The Last Decade
Robert Burduk
72 papers receiving 405 citations
Peers
Comparison fields: 5 of 91
- Artificial Intelligence 202
- Computer Vision and Pattern Recognition 92
- Health Information Management 17
- Signal Processing 32
- Statistics and Probability 20
Countries citing papers authored by Robert Burduk
This map shows the geographic impact of Robert Burduk'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 Robert Burduk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Burduk more than expected).
Fields of papers citing papers by Robert Burduk
This network shows the impact of papers produced by Robert Burduk. 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 Robert Burduk. The network helps show where Robert Burduk may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Burduk, 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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 48 | |
| 2 | 2019 | 28 | |
| 3 | 2016 | 21 | |
| 4 | 2017 | 21 | |
| 5 | 2013 | 19 | |
| 6 | 2022 | 17 | |
| 7 | 2009 | 13 | |
| 8 | 2014 | 13 | |
| 9 | 2006 | 12 | |
| 10 | 2015 | 11 | |
| 11 | 2012 | 10 | |
| 12 | 2015 | 9 | |
| 13 | 2019 | 9 | |
| 14 | 2022 | 8 | |
| 15 | 2011 | 8 | |
| 16 | 2012 | 7 | |
| 17 | 2023 | 7 | |
| 18 | 2022 | 7 | |
| 19 | 2017 | 7 | |
| 20 | 2011 | 7 |
About Robert Burduk
Robert Burduk is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Statistics and Probability, Control and Systems Engineering and Computational Theory and Mathematics, having authored 79 papers that have together received 414 indexed citations. Recurring topics across this work include Neural Networks and Applications (27 papers), Fuzzy Logic and Control Systems (20 papers), Face and Expression Recognition (14 papers), Machine Learning and Data Classification (12 papers), Statistical and Computational Modeling (11 papers), Fuzzy Systems and Optimization (9 papers), Imbalanced Data Classification Techniques (9 papers) and Rough Sets and Fuzzy Logic (8 papers). The work is most often cited by research in Artificial Intelligence (202 citations), Computer Vision and Pattern Recognition (92 citations), Health Information Management (17 citations), Signal Processing (32 citations) and Statistics and Probability (20 citations). Robert Burduk has collaborated with scholars based in Poland, Finland and Germany. Frequent co-authors include Marek Kurzyński, Michał Woźniak, Konrad Jackowski, Krzysztof Walkowiak, Leszek Jurdziak, Ryszard Błażej, Jacek Reiner, Paweł Ksieniewicz, Piotr Zapotoczny and Izabela Rojek. Their work appears in journals such as Lecture notes in computer science, Pattern Analysis and Applications, IEEE Access, Scientific Reports and Knowledge-Based Systems.
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.