2026 Leszek Rutkowski: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	59	3482	3386	7	6	277	11230

Leszek Rutkowski publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Leszek Rutkowski sits on this spectrum.

32 publications 991+

This scientist: 277 publications — 69th percentile

69% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Leszek Rutkowski D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Leszek Rutkowski sits on this spectrum.

30 D-Index 131+

This scientist: 59 D-Index — 77th percentile

77% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

2026 - Research.com Computer Science in Poland Leader Award
2025 - Research.com Computer Science in Poland Leader Award
2022 - Research.com Computer Science in Poland Leader Award
2016 - Polish Academy of Science

Overview

Leszek Rutkowski is affiliated with Częstochowa University of Technology in Poland. Their research primarily falls within the broad field of Computer Science, with significant contributions focusing on Computer Networks and Communications, Artificial Intelligence, Control and Systems Engineering, Computer Vision and Pattern Recognition, and Molecular Biology.

The scientist's main research topics include Neural Networks Stability and Synchronization, Distributed Control Multi-Agent Systems, Nonlinear Dynamics and Pattern Formation, Stability and Control of Uncertain Systems, Advanced Memory and Neural Computing, Gene Regulatory Network Analysis, and Data Stream Mining Techniques.

Rutkowski has authored several papers with notable publications as follows:

FuzzyH_∞ Control of Discrete-Time Nonlinear Markov Jump Systems via a Novel Hybrid ReinforcementQ-Learning Method (2022, IEEE Transactions on Cybernetics)
Synchronization of Coupled Time-Delay Neural Networks With Mode-Dependent Average Dwell Time Switching (2020, IEEE Transactions on Neural Networks and Learning Systems)
Sliding-Mode Control for Slow-Sampling Singularly Perturbed Systems Subject to Markov Jump Parameters (2020, IEEE Transactions on Systems Man and Cybernetics Systems)
Synchronization of Switched Discrete-Time Neural Networks via Quantized Output Control With Actuator Fault (2020, IEEE Transactions on Neural Networks and Learning Systems)
Synchronization of Neural Networks via Periodic Self-Triggered Impulsive Control and Its Application in Image Encryption (2021, IEEE Transactions on Cybernetics)

The scientist frequently collaborates with a range of co-authors, including:

Jinde Cao (53 publications)
Min Xiao (14 publications)
Rafał Scherer (9 publications)
Tingwen Huang (8 publications)
Jun Cheng (8 publications)

The most common venues where Rutkowski's work appears consist of:

IEEE Transactions on Cybernetics (10 publications)
IEEE Transactions on Neural Networks and Learning Systems (6 publications)
IEEE Transactions on Automatic Control (6 publications)
arXiv (Cornell University) (6 publications)
IEEE Transactions on Systems Man and Cybernetics Systems (5 publications)

Rutkowski has contributed to book publications primarily through Springer Science+Business Media, with eight books under the title Artificial Intelligence and Soft Computing published between 2020 and 2023. These books have varied citation counts, reflecting different levels of academic engagement over the years.

The scientist was recognized with an award from the Polish Academy of Science in 2016.

Best Publications

Artificial Intelligence and Soft Computing

Leszek Rutkowski;Rafał Scherer;Ryszard Tadeusiewicz;Lotfi A. Zadeh

560
Citations
Computational Intelligence: Methods and Techniques

Leszek Rutkowski

516
Citations
Swarm and Evolutionary Computation

Leszek Rutkowski;Marcin Korytkowski;Rafał Scherer;Ryszard Tadeusiewicz

513
Citations
Flexible neuro-fuzzy systems

L. Rutkowski;K. Cpalka

438
Citations
Artificial Intelligence and Soft Computing – ICAISC 2006

Leszek Rutkowski;Ryszard Tadeusiewicz;Lotfi A. Zadeh;Jacek M. Żurada

398
Citations
The CART decision tree for mining data streams

Leszek Rutkowski;Leszek Rutkowski;Maciej Jaworski;Lena Pietruczuk;Piotr Duda

371
Citations
Artificial Intelligence and Soft Computing - ICAISC 2004

Leszek Rutkowski;Jörg H. Siekmann;Ryszard Tadeusiewicz;Lotfi A. Zadeh

324
Citations
Adaptive probabilistic neural networks for pattern classification in time-varying environment

L. Rutkowski

263
Citations
Decision Trees for Mining Data Streams Based on the McDiarmid's Bound

Leszek Rutkowski;Lena Pietruczuk;Piotr Duda;Maciej Jaworski

231
Citations
Flexible neuro-fuzzy systems : structures, learning and performance evaluation

Leszek Rutkowski

227
Citations
Artificial Intelligence and Soft Computing – ICAISC 2008

Leszek Rutkowski;Ryszard Tadeusiewicz;Lotfi A. Zadeh;Jacek M. Zurada

214
Citations
Fuzzy H∞ Control of Discrete-Time Nonlinear Markov Jump Systems via a Novel Hybrid Reinforcement Q-Learning Method

Unknown

193
Citations
Decision Trees for Mining Data Streams Based on the Gaussian Approximation

Leszek Rutkowski;Maciej Jaworski;Lena Pietruczuk;Piotr Duda

187
Citations
Fast image classification by boosting fuzzy classifiers

Marcin Korytkowski;Leszek Rutkowski;Rafał Scherer

163
Citations
Generalized regression neural networks in time-varying environment

L. Rutkowski

144
Citations
Neural Networks and Soft Computing

Leszek Rutkowski;Janusz Kacprzyk

140
Citations
Connectionist structures of type 2 Fuzzy Inference Systems

Janusz Starczewski;Leszek Rutkowski

134
Citations
Synchronization of Coupled Time-Delay Neural Networks With Mode-Dependent Average Dwell Time Switching

Xinsong Yang;Yang Liu;Jinde Cao;Leszek Rutkowski

132
Citations
A New Method for Data Stream Mining Based on the Misclassification Error

Leszek Rutkowski;Maciej Jaworski;Lena Pietruczuk;Piotr Duda

123
Citations
Sliding-Mode Control for Slow-Sampling Singularly Perturbed Systems Subject to Markov Jump Parameters

Jing Wang;Chengyu Yang;Hao Shen;Jinde Cao

121
Citations
New Soft Computing Techniques for System Modeling, Pattern Classification and Image Processing

Leszek Rutkowski

118
Citations
Synchronization of Switched Discrete-Time Neural Networks via Quantized Output Control With Actuator Fault

Xinsong Yang;Xiaoxiao Wan;Cheng Zunshui;Jinde Cao

118
Citations
New method for the on-line signature verification based on horizontal partitioning

Krzysztof Cpałka;Marcin Zalasiński;Leszek Rutkowski

108
Citations

Frequent Co-Authors

Krzysztof Cpałka Częstochowa University of Technology

Jinde Cao Southeast University

Lotfi A. Zadeh University of California, Berkeley

Jacek M. Zurada University of Louisville

Yang Liu Zhejiang Normal University

Jianquan Lu Southeast University

Dacheng Tao Nanyang Technological University

Tingwen Huang Shenzhen Institutes of Advanced Technology

Hao Shen Anhui University of Technology

jianan fang Donghua University

External Links

Personal website of Leszek Rutkowski Google Scholar page

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