Witold Pedrycz

1.8k total citations
23 papers, 724 citations indexed

About

Witold Pedrycz is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Witold Pedrycz has authored 23 papers receiving a total of 724 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 9 papers in Computational Theory and Mathematics and 3 papers in Information Systems. Recurrent topics in Witold Pedrycz's work include Rough Sets and Fuzzy Logic (8 papers), Fuzzy Logic and Control Systems (5 papers) and Neural Networks and Applications (4 papers). Witold Pedrycz is often cited by papers focused on Rough Sets and Fuzzy Logic (8 papers), Fuzzy Logic and Control Systems (5 papers) and Neural Networks and Applications (4 papers). Witold Pedrycz collaborates with scholars based in Canada, Poland and China. Witold Pedrycz's co-authors include A Bargiela, Hajime Nobuhara, Kaoru Hirota, Salvatore Sessa, Andrea Janes, Barbara Russo, Seok-Beom Roh, Seung Ja Oh, Giancarlo Succi and G.W. Swift and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Witold Pedrycz

19 papers receiving 588 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Witold Pedrycz Canada 10 346 287 194 155 119 23 724
Hamamache Kheddouci France 13 117 0.3× 155 0.5× 299 1.5× 42 0.3× 43 0.4× 106 789
Michele Conforti Italy 19 178 0.5× 141 0.5× 874 4.5× 68 0.4× 21 0.2× 91 1.3k
Csaba D. Tóth United States 15 57 0.2× 167 0.6× 268 1.4× 126 0.8× 38 0.3× 140 848
Sven Hartmann Germany 18 72 0.2× 496 1.7× 75 0.4× 169 1.1× 195 1.6× 119 955
Vangélis Th. Paschos France 18 44 0.1× 145 0.5× 589 3.0× 73 0.5× 30 0.3× 119 1.1k
L. E. Trotter United States 12 110 0.3× 139 0.5× 704 3.6× 56 0.4× 20 0.2× 30 1.4k
Sanjiv Kapoor United States 17 64 0.2× 85 0.3× 327 1.7× 69 0.4× 16 0.1× 68 917
Fabrizio Grandoni Switzerland 19 53 0.2× 222 0.8× 870 4.5× 74 0.5× 45 0.4× 84 1.4k
Jittat Fakcharoenphol Thailand 13 25 0.1× 159 0.6× 514 2.6× 65 0.4× 66 0.6× 22 949
Karl Bringmann Germany 14 24 0.1× 439 1.5× 526 2.7× 86 0.6× 18 0.2× 71 757

Countries citing papers authored by Witold Pedrycz

Since Specialization
Citations

This map shows the geographic impact of Witold Pedrycz'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 Witold Pedrycz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Witold Pedrycz more than expected).

Fields of papers citing papers by Witold Pedrycz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Witold Pedrycz. 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 Witold Pedrycz. The network helps show where Witold Pedrycz may publish in the future.

Co-authorship network of co-authors of Witold Pedrycz

This figure shows the co-authorship network connecting the top 25 collaborators of Witold Pedrycz. A scholar is included among the top collaborators of Witold Pedrycz 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 Witold Pedrycz. Witold Pedrycz 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.
Li, Qing, et al.. (2026). A Lightweight Transformer Model With High-Throughput for Image Compression in 6G-Enabled Intelligent Transportation Systems. IEEE Transactions on Intelligent Transportation Systems. 27(3). 3271–3282.
2.
3.
Lu, Wei, et al.. (2025). Data stream clustering via fuzzy similarity and diffusion-enhanced contextual affinity. Information Sciences. 723. 122690–122690.
4.
Dınçer, Hasan, Serhat Yüksel, & Witold Pedrycz. (2025). Assessment of renewable energy alternatives for sustainable resource policies with knowledge-based expert prioritized quantum picture fuzzy rough modelling. Expert Systems with Applications. 273. 126826–126826. 2 indexed citations
5.
Pedrycz, Witold, et al.. (2025). A distance similarity-based genetic optimization algorithm for satellite ground network planning considering feeding mode. Expert Systems with Applications. 268. 126303–126303. 2 indexed citations
6.
Kim, Hanju, Doyoon Kim, Do‐Young Kim, et al.. (2025). Uncertainty-Driven Pattern Mining on Incremental Data for Stream Analyzing Service. IEEE Transactions on Services Computing. 18(2). 1081–1096. 2 indexed citations
7.
Pedrycz, Witold, et al.. (2025). Learning Fine-Grained User Preference for Personalized Recommendation. Tsinghua Science & Technology. 30(6). 2544–2556. 1 indexed citations
8.
Ye, Liu, et al.. (2024). Landmark Block-Embedded Aggregation Autoencoder for Anomaly Detection. IEEE Transactions on Systems Man and Cybernetics Systems. 55(2). 1004–1019. 1 indexed citations
9.
Koczkodaj, Waldemar W., Marek Nowacki, Witold Pedrycz, & Dominik Strzałka. (2024). Text mining analysis of over 392 million compromised healthcare records. Advances in Science and Technology – Research Journal. 19(2). 73–81. 1 indexed citations
10.
Zhou, Qianli, Witold Pedrycz, & Yong Deng. (2024). Order-2 Probabilistic Information Fusion on Random Permutation Set. IEEE Transactions on Knowledge and Data Engineering. 37(2). 837–850. 12 indexed citations
11.
Machado, Alexei Manso Corrêa, et al.. (2017). An interval space reducing method for constrained problems with particle swarm optimization. Applied Soft Computing. 59. 405–417. 14 indexed citations
12.
Pedrycz, Witold. (2013). Granular Computing - Some Insights and Challenges. Dialnet (Universidad de la Rioja). 20(2). 15–18. 2 indexed citations
13.
Pedrycz, Witold & A Bargiela. (2011). An Optimization of Allocation of Information Granularity in the Interpretation of Data Structures: Toward Granular Fuzzy Clustering. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 42(3). 582–590. 162 indexed citations
14.
Watada, Junzo, et al.. (2011). A DNA-Based Algorithm for Minimizing Decision Rules: A Rough Sets Approach. IEEE Transactions on NanoBioscience. 10(3). 139–151. 6 indexed citations
15.
Pedrycz, Witold, et al.. (2006). OR/AND neurons and the development of interpretable logic models. IEEE Transactions on Neural Networks. 17(3). 636–658. 15 indexed citations
16.
Nobuhara, Hajime, Witold Pedrycz, Salvatore Sessa, & Kaoru Hirota. (2006). A motion compression/reconstruction method based on max t-norm composite fuzzy relational equations. Information Sciences. 176(17). 2526–2552. 45 indexed citations
17.
Oh, Seung Ja, Witold Pedrycz, & Seok-Beom Roh. (2005). Genetically optimized fuzzy polynomial neural networks with fuzzy set-based polynomial neurons. Information Sciences. 176(23). 3490–3519. 31 indexed citations
18.
Pedrycz, Witold. (2003). Fuzzy fractal dimensions and fuzzy modeling. Information Sciences. 153. 199–216. 317 indexed citations
19.
Pedrycz, Witold & Athanasios V. Vasilakos. (2002). Modularization of fuzzy relational equations. Soft Computing. 6(1). 33–37. 10 indexed citations
20.
Novák, Vilém & Witold Pedrycz. (1990). Fuzzy sets and t -norms in the light of fuzzy logic. 211–225. 3 indexed citations

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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