Zbigniew W. Raś

3.7k total citations
113 papers, 951 citations indexed

About

Zbigniew W. Raś is a scholar working on Information Systems, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Zbigniew W. Raś has authored 113 papers receiving a total of 951 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Information Systems, 34 papers in Artificial Intelligence and 30 papers in Computational Theory and Mathematics. Recurrent topics in Zbigniew W. Raś's work include Data Mining Algorithms and Applications (32 papers), Rough Sets and Fuzzy Logic (29 papers) and Semantic Web and Ontologies (21 papers). Zbigniew W. Raś is often cited by papers focused on Data Mining Algorithms and Applications (32 papers), Rough Sets and Fuzzy Logic (29 papers) and Semantic Web and Ontologies (21 papers). Zbigniew W. Raś collaborates with scholars based in United States, Poland and Italy. Zbigniew W. Raś's 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 and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and Applied Sciences.

In The Last Decade

Zbigniew W. Raś

107 papers receiving 913 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Zbigniew W. Raś United States 17 528 365 313 162 114 113 951
David Maxwell Chickering United States 16 699 1.3× 269 0.7× 79 0.3× 114 0.7× 99 0.9× 35 1.1k
Srivatsan Laxman India 12 445 0.8× 434 1.2× 97 0.3× 338 2.1× 62 0.5× 28 798
Show‐Jane Yen Taiwan 14 608 1.2× 344 0.9× 162 0.5× 105 0.6× 89 0.8× 40 941
Angelo Gaeta Italy 14 351 0.7× 177 0.5× 286 0.9× 58 0.4× 100 0.9× 52 740
Arbee L. P. Chen Taiwan 19 560 1.1× 392 1.1× 99 0.3× 516 3.2× 254 2.2× 117 1.3k
Gregory L. Heileman United States 21 517 1.0× 290 0.8× 61 0.2× 110 0.7× 278 2.4× 125 1.2k
Earl Hunt 4 648 1.2× 176 0.5× 183 0.6× 73 0.5× 59 0.5× 13 924
Hana Chockler Israel 11 429 0.8× 151 0.4× 227 0.7× 33 0.2× 101 0.9× 45 810
Manish Mehta United States 16 635 1.2× 591 1.6× 198 0.6× 262 1.6× 148 1.3× 35 1.3k
Paolo Torroni Italy 17 1.1k 2.1× 309 0.8× 78 0.2× 50 0.3× 110 1.0× 106 1.5k

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 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

20 of 20 papers shown
1.
Raś, Zbigniew W., et al.. (2025). Towards scalable action rule discovery: a structured vertical partitioning method. Journal of Intelligent Information Systems. 64(1). 5–35. 1 indexed citations
2.
Raś, Zbigniew W., et al.. (2025). Enhancing Typhlo Music Therapy with Personalized Action Rules: A Data-Driven Approach. Information. 16(8). 666–666.
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Raś, Zbigniew W., et al.. (2024). Distributed Action-Rule Discovery Based on Attribute Correlation and Vertical Data Partitioning. Applied Sciences. 14(3). 1270–1270. 3 indexed citations
5.
Cho, Isaac, et al.. (2023). Contemporary Art Authentication with Large-Scale Classification. Big Data and Cognitive Computing. 7(4). 162–162. 3 indexed citations
6.
Raś, Zbigniew W., et al.. (2022). High-Performance Actionable Knowledge Miner for Boosting Business Revenue. Applied Sciences. 12(23). 12393–12393. 4 indexed citations
7.
Raś, Zbigniew W., et al.. (2022). Jumping into the artistic deep end: building the catalogue raisonné. AI & Society. 37(3). 873–889. 5 indexed citations
8.
Raś, Zbigniew W., et al.. (2022). On art authentication and the Rijksmuseum challenge: A residual neural network approach. Expert Systems with Applications. 200. 116933–116933. 12 indexed citations
9.
Raś, Zbigniew W., et al.. (2021). NLP-Based Customer Loyalty Improvement Recommender System (CLIRS2). Big Data and Cognitive Computing. 5(1). 4–4. 21 indexed citations
10.
Kryszkiewicz, Marzena, et al.. (2014). Rough Sets and Intelligent Systems Paradigms: Second International Conference, RSEISP 2014, Granada and Madrid, Spain, July 9-13, 2014. Springer eBooks. 1 indexed citations
11.
Raś, Zbigniew W., et al.. (2009). Advances in Machine Learning II: Dedicated to the memory of Professor Ryszard S. Michalski. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 552–552. 2 indexed citations
12.
Zhang, Xin & Zbigniew W. Raś. (2007). Sound Isolation by Harmonic Peak Partition For Music Instrument Recognition. Fundamenta Informaticae. 78(4). 613–628. 3 indexed citations
13.
Tzacheva, Angelina A. & Zbigniew W. Raś. (2003). Discovering Non-Standard Semantics of Semi-Stable Attributes. The Florida AI Research Society. 330–335. 2 indexed citations
14.
Raś, Zbigniew W. & Shishir K. Gupta. (2002). Global action rules in distributed knowledge systems. Fundamenta Informaticae. 51(1). 175–184. 8 indexed citations
15.
Hacid, Mohand-Saïd, Zbigniew W. Raś, Djamel A. Zighed, & Yves Kodratoff. (2002). Foundations of intelligent systems : 13th International Symposium, ISMIS 2002, Lyon, France, June 27-29, 2002 : proceedings. Springer eBooks. 1 indexed citations
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Raś, Zbigniew W., et al.. (1991). OPERA: OPto-electronic reconfigurable architecture for multiprocessor systems, mathematical foundations. Elsevier eBooks. 90–101. 1 indexed citations
19.
Berzuini, Carlo, Zbigniew W. Raś, & Lorenza Saitta. (1988). Partially Supervised Learning from Examples with the Aid of Statistical Regression Analysis. Research Explorer (The University of Manchester). 281–292. 1 indexed citations
20.
Raś, Zbigniew W., et al.. (1987). Methodologies for intelligent systems : proceedings of the Second International Symposium, held October 14-17, 1987 in Charlotte, North Carolina. North-Holland eBooks.

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.

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Breakdown of academic impact, for papers by David Maxwell Chickering Breakdown of academic impact, for papers by Srivatsan Laxman Breakdown of academic impact, for papers by Show‐Jane Yen Breakdown of academic impact, for papers by Angelo Gaeta Breakdown of academic impact, for papers by Arbee L. P. Chen Breakdown of academic impact, for papers by Gregory L. Heileman Breakdown of academic impact, for papers by Earl Hunt Breakdown of academic impact, for papers by Hana Chockler Breakdown of academic impact, for papers by Manish Mehta Breakdown of academic impact, for papers by Paolo Torroni
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