Robert Burduk
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Mechanical Engineering
- Insect Science
- Electrical and Electronic Engineering
- Co-authors
- Marek KurzyńskiMichał WoźniakKonrad JackowskiLeszek JurdziakRyszard BłażejJacek ReinerBartosz KrawczykPiotr Zapotoczny
- Topics
- Machine Learning and Data Classification (6 papers)Neural Networks and Applications (6 papers)Fuzzy Logic and Control Systems (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsIEEE Access
In The Last Decade
Robert Burduk
35 papers receiving 228 citations
Peers
Comparison fields: 5 of 84
- Artificial Intelligence 85
- Computer Vision and Pattern Recognition 48
- Mechanical Engineering 31
- Insect Science 26
- Electrical and Electronic Engineering 25
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-authorship network of co-authors of Robert Burduk
This figure shows the co-authorship network connecting the top 25 collaborators of Robert Burduk. A scholar is included among the top collaborators of Robert Burduk 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 Robert Burduk. Robert Burduk 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 | 4 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 14 | |
| 9 | 6 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | 3 | |
| 14 | 2 | |
| 15 | 20 | |
| 16 | Dynamical ensemble selection experimental analysis on homogenous pool of classifiers | 0 |
| 17 | 30 | |
| 18 | AUTOMATIC DETECTION AND COUNTING OF PLATELETS IN MICROSCOPIC IMAGE | 5 |
| 19 | 6 | |
| 20 | Case of fuzzy loss function in multistage recognition algorithm | 1 |
About Robert Burduk
Robert Burduk is a scholar working on Artificial Intelligence, Statistics and Probability and Software, having authored 36 papers that have together received 234 indexed citations. Recurring topics across this work include Machine Learning and Data Classification (6 papers), Neural Networks and Applications (6 papers) and Fuzzy Logic and Control Systems (5 papers). The work is most often cited by research in Artificial Intelligence (85 citations), Computer Vision and Pattern Recognition (48 citations) and Insect Science (26 citations). Robert Burduk has collaborated with scholars based in Poland, Finland and Germany. Frequent co-authors include Marek Kurzyński, Michał Woźniak, Konrad Jackowski, Leszek Jurdziak, Ryszard Błażej, Jacek Reiner, Bartosz Krawczyk, Piotr Zapotoczny, Krzysztof Walkowiak and Hujun Yin. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.
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.