Zbigniew W. Raś
- Artificial Intelligence top 2%
- Information Systems top 2%
- Computational Theory and Mathematics top 2%
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Li-Shiang TsayAngelina A. TzachevaAgnieszka DardzińskaAlicja WieczorkowskaJan KomorowskiShusaku TsumotoMohand-Saïd HacidJanusz Kacprzyk
- Topics
- Data Mining Algorithms and Applications (32 papers)Rough Sets and Fuzzy Logic (29 papers)Semantic Web and Ontologies (21 papers)
- Partner nations
- United StatesPolandItaly
In The Last Decade
Zbigniew W. Raś
107 papers receiving 913 citations
Peers
Comparison fields: 5 of 122
- Artificial Intelligence 528
- Information Systems 365
- Computational Theory and Mathematics 313
- Signal Processing 162
- Computer Vision and Pattern Recognition 114
Countries citing papers authored by Zbigniew W. Raś
This map shows the geographic impact of Zbigniew W. Raś'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 Zbigniew W. Raś with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zbigniew W. Raś more than expected).
Fields of papers citing papers by Zbigniew W. Raś
This network shows the impact of papers produced by Zbigniew W. Raś. 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 Zbigniew W. Raś. The network helps show where Zbigniew W. Raś may publish in the future.
Co-authorship network of co-authors of Zbigniew W. Raś
This figure shows the co-authorship network connecting the top 25 collaborators of Zbigniew W. Raś. A scholar is included among the top collaborators of Zbigniew W. Raś 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 Zbigniew W. Raś. Zbigniew W. Raś 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 | 0 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 5 | |
| 8 | 12 | |
| 9 | 21 | |
| 10 | Rough Sets and Intelligent Systems Paradigms: Second International Conference, RSEISP 2014, Granada and Madrid, Spain, July 9-13, 2014 | 1 |
| 11 | 2 | |
| 12 | 3 | |
| 13 | Discovering Non-Standard Semantics of Semi-Stable Attributes | 2 |
| 14 | Global action rules in distributed knowledge systems | 8 |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | OPERA: OPto-electronic reconfigurable architecture for multiprocessor systems, mathematical foundations | 1 |
| 19 | Partially Supervised Learning from Examples with the Aid of Statistical Regression Analysis | 1 |
| 20 | Methodologies for intelligent systems : proceedings of the Second International Symposium, held October 14-17, 1987 in Charlotte, North Carolina | 0 |
About Zbigniew W. Raś
Zbigniew W. Raś is a scholar working on Signal Processing, Computational Theory and Mathematics and Information Systems, having authored 113 papers that have together received 951 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (32 papers), Rough Sets and Fuzzy Logic (29 papers) and Semantic Web and Ontologies (21 papers). The work is most often cited by research in Computational Theory and Mathematics (313 citations), Artificial Intelligence (528 citations) and Information Systems (365 citations). Zbigniew W. Raś has collaborated with scholars based in United States, Poland and Italy. Frequent co-authors include Li-Shiang Tsay, Angelina A. Tzacheva, Agnieszka Dardzińska, Alicja Wieczorkowska, Jan Komorowski, Shusaku Tsumoto, Mohand-Saïd Hacid, Janusz Kacprzyk, Hanna Wasyluk and Sławomir Zadrożny. Their work appears in journals such as Expert Systems with Applications, Information Sciences and Applied Sciences.
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.