Witold Pedrycz

90.7k citations
2.1k papers · 62.7k indexed · 20 hit papers · h-index 108

Impact in

Papers in

Witold Pedrycz

2.0k papers receiving 60.1k citations

Hit Papers

Reinforcement learning-assisted evolutionary algorithm: A survey and research opportunities 2024 · 52 citations
521983202619972011100200300400500

Peers

Witold Pedrycz
Comparison fields: 5 of 229
  • Management Science and Operations Research 16.8k
  • Computational Theory and Mathematics 16.5k
  • Artificial Intelligence 31.6k
  • Statistics and Probability 4.7k
  • Signal Processing 5.2k
Replace Lotfi A. Zadeh with:
Lotfi A. Zadeh United States
Francisco Herrera Spain
L. A. Zadeh United States
Ronald R. Yager United States
Kalyanmoy Deb United States
Fred Glover United States
Bernhard Schölkopf Germany
Enrique Herrera‐Viedma Spain
Richard Bellman United States
David E. Goldberg United States
Witold Pedrycz relative to Lotfi A. Zadeh United States Lotfi A. Zadeh's profile →
Citations per field
00.5×10.5×
Lotfi A. Zadeh · 1×
Citations per year

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

The 25 scholars most cited alongside Witold Pedrycz, 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 Witold Pedrycz Line = papers co-authored together Witold Pedrycz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20254
3 20241
4 20242
5 20243
6 20244
7 20242
8 20245
9 20241
10 20242
11 20244
12 202320
13 20235
14 20237
15 202311
16 202346
17 202340
18
A comprehensive survey on applications of transformers for deep learning tasks
Hit paper breakdown →
2023187
19 202340
20 20227

About Witold Pedrycz

Witold Pedrycz is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Management Science and Operations Research, Statistics and Probability and Signal Processing, having authored 2.1k papers that have together received 62.7k indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (562 papers), Rough Sets and Fuzzy Logic (524 papers), Multi-Criteria Decision Making (425 papers), Neural Networks and Applications (369 papers), Fuzzy Systems and Optimization (165 papers), Data Mining Algorithms and Applications (147 papers), Face and Expression Recognition (135 papers) and Data Management and Algorithms (97 papers). The work is most often cited by research in Management Science and Operations Research (16.8k citations), Computational Theory and Mathematics (16.5k citations), Artificial Intelligence (31.6k citations), Statistics and Probability (4.7k citations) and Signal Processing (5.2k citations). Witold Pedrycz has collaborated with scholars based in Canada, Poland and China. Frequent co-authors include Peter J. M. van Laarhoven, Fernando Gomide, Sung‐Kwun Oh, A Bargiela, Jindong Qin, Lukasz Kurgan, Janusz Kacprzyk, Giancarlo Succi, Xiaodong Liu and Kaoru Hirota. Their work appears in journals such as IEEE Transactions on Fuzzy Systems, Fuzzy Sets and Systems, Applied Soft Computing, IEEE Transactions on Cybernetics and Knowledge-Based Systems.

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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