Zbigniew W. Raś

3.7k citations
113 papers · 951 indexed · h-index 17

Zbigniew W. Raś

107 papers receiving 913 citations

Peers

Zbigniew W. Raś
Comparison fields: 5 of 122
  • Computational Theory and Mathematics 313
  • Artificial Intelligence 528
  • Information Systems 365
  • Signal Processing 162
  • Management Science and Operations Research 112
Replace Huan Sun with:
Huan Sun United States
Manish Mehta United States
Show‐Jane Yen Taiwan
Pietro Torasso Italy
David Maxwell Chickering United States
Gregory L. Heileman United States
Earl Hunt
Arbee L. P. Chen Taiwan
Ingo Mierswa Germany
Fabio Aiolli Italy
Zbigniew W. Raś relative to Huan Sun United States Huan Sun's profile →
Citations per field
00.5×2.6×
Huan Sun · 1×
Citations per year

Countries citing papers authored by Zbigniew W. Raś

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Zbigniew W. Raś, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Zbigniew W. Raś Line = papers co-authored together Zbigniew W. Raś links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20241
4 20243
5 20233
6 20224
7 20225
8 202212
9 202121
10
Rough Sets and Intelligent Systems Paradigms: Second International Conference, RSEISP 2014, Granada and Madrid, Spain, July 9-13, 2014
20141
11 20092
12 20073
13
Discovering Non-Standard Semantics of Semi-Stable Attributes
20032
14
Global action rules in distributed knowledge systems
20028
15 20021
16 20001
17 19931
18
OPERA: OPto-electronic reconfigurable architecture for multiprocessor systems, mathematical foundations
19911
19
Partially Supervised Learning from Examples with the Aid of Statistical Regression Analysis
19881
20
Methodologies for intelligent systems : proceedings of the Second International Symposium, held October 14-17, 1987 in Charlotte, North Carolina
19870

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), Semantic Web and Ontologies (21 papers), Advanced Database Systems and Queries (13 papers), Music and Audio Processing (12 papers), Data Management and Algorithms (12 papers), Speech and Audio Processing (8 papers) and Music Technology and Sound Studies (7 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026