Lech Polkowski
- Computational Theory and Mathematics top 0.5%
- Artificial Intelligence top 2%
- Information Systems top 1%
- Management Science and Operations Research top 5%
- Signal Processing top 5%
- Co-authors
- Andrzej SkowronSankar K. PalShusaku TsumotoTsau Young LinPiotr ArtiemjewJanusz KacprzykJan KomorowskiZdzisław Pawlak
- Topics
- Rough Sets and Fuzzy Logic (55 papers)Data Mining Algorithms and Applications (17 papers)Advanced Algebra and Logic (12 papers)
In The Last Decade
Lech Polkowski
66 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 94
- Computational Theory and Mathematics 1.1k
- Artificial Intelligence 682
- Information Systems 585
- Management Science and Operations Research 190
- Signal Processing 155
Countries citing papers authored by Lech Polkowski
This map shows the geographic impact of Lech Polkowski'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 Lech Polkowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lech Polkowski more than expected).
Fields of papers citing papers by Lech Polkowski
This network shows the impact of papers produced by Lech Polkowski. 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 Lech Polkowski. The network helps show where Lech Polkowski may publish in the future.
Co-authorship network of co-authors of Lech Polkowski
This figure shows the co-authorship network connecting the top 25 collaborators of Lech Polkowski. A scholar is included among the top collaborators of Lech Polkowski 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 Lech Polkowski. Lech Polkowski 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 | 5 | |
| 3 | Granular Mereotopology: A First Sketch. | 1 |
| 4 | Transactions on Rough Sets II: Rough Sets and Fuzzy Sets (Lecture Notes in Computer Science) | 2 |
| 5 | 10 | |
| 6 | 1 | |
| 7 | On Rough Set Logics Based on Similarity Relations | 7 |
| 8 | Rough Mereology: A Rough Set Paradigm for Unifying Rough Set Theory and Fuzzy Set Theory | 7 |
| 9 | Some Remarks on Sets of Communicating Sequential Processes in Topological Rough Set Framework | 3 |
| 10 | Rough-Neuro-Computing: Techniques for Computing with Words | 75 |
| 11 | Rough sets perspective on data and knowledge | 58 |
| 12 | 152 | |
| 13 | 11 | |
| 14 | On Connection Synthesis via Rough Mereology | 2 |
| 15 | 123 | |
| 16 | 89 | |
| 17 | Applications, case studies and software systems | 5 |
| 18 | Rough sets and current trends in computing : first international conference, RSCTC '98, Warsaw, Poland, June 22-26, 1998 : proceedings | 12 |
| 19 | 2 | |
| 20 | 171 |
About Lech Polkowski
Lech Polkowski is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Information Systems, having authored 74 papers that have together received 1.3k indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (55 papers), Data Mining Algorithms and Applications (17 papers) and Advanced Algebra and Logic (12 papers). The work is most often cited by research in Computational Theory and Mathematics (1.1k citations), Information Systems (585 citations) and Artificial Intelligence (682 citations). Lech Polkowski has collaborated with scholars based in Poland, Canada and China. Frequent co-authors include Andrzej Skowron, Sankar K. Pal, Shusaku Tsumoto, Tsau Young Lin, Piotr Artiemjew, Janusz Kacprzyk, Jan Komorowski, Zdzisław Pawlak, Yiyu Yao and Guoyin Wang. Their work appears in journals such as Information Sciences, Lecture notes in computer science and The Computer Journal.
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.