World's Best Scientists 2026 revealed!
Award Badge
Computer Science
Poland
2026

D-Index & Metrics

Computer Science

D-Index
59
Citations
11230
World Ranking
3482
National Ranking
7

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

  • Computational Intelligence: Methods and Techniques

    Leszek Rutkowski

  • Swarm and Evolutionary Computation

    Leszek Rutkowski;Marcin Korytkowski;Rafał Scherer;Ryszard Tadeusiewicz

  • Flexible neuro-fuzzy systems

    L. Rutkowski;K. Cpalka

  • Artificial Intelligence and Soft Computing – ICAISC 2006

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

  • The CART decision tree for mining data streams

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

  • Artificial Intelligence and Soft Computing - ICAISC 2004

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

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

    L. Rutkowski

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

    Leszek Rutkowski;Lena Pietruczuk;Piotr Duda;Maciej Jaworski

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

    Leszek Rutkowski

  • Artificial Intelligence and Soft Computing – ICAISC 2008

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

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

    Unknown

  • Decision Trees for Mining Data Streams Based on the Gaussian Approximation

    Leszek Rutkowski;Maciej Jaworski;Lena Pietruczuk;Piotr Duda

  • Fast image classification by boosting fuzzy classifiers

    Marcin Korytkowski;Leszek Rutkowski;Rafał Scherer

  • Generalized regression neural networks in time-varying environment

    L. Rutkowski

  • Neural Networks and Soft Computing

    Leszek Rutkowski;Janusz Kacprzyk

  • Connectionist structures of type 2 Fuzzy Inference Systems

    Janusz Starczewski;Leszek Rutkowski

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

    Xinsong Yang;Yang Liu;Jinde Cao;Leszek Rutkowski

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

    Leszek Rutkowski;Maciej Jaworski;Lena Pietruczuk;Piotr Duda

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

    Jing Wang;Chengyu Yang;Hao Shen;Jinde Cao

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

    Leszek Rutkowski

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

    Xinsong Yang;Xiaoxiao Wan;Cheng Zunshui;Jinde Cao

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

    Krzysztof Cpałka;Marcin Zalasiński;Leszek Rutkowski

Frequent Co-Authors

Krzysztof Cpałka
Krzysztof Cpałka Częstochowa University of Technology
Jinde Cao
Jinde Cao Southeast University
Lotfi A. Zadeh
Lotfi A. Zadeh University of California, Berkeley
Jacek M. Zurada
Jacek M. Zurada University of Louisville
Yang Liu
Yang Liu Zhejiang Normal University
Jianquan Lu
Jianquan Lu Southeast University
Dacheng Tao
Dacheng Tao Nanyang Technological University
Tingwen Huang
Tingwen Huang Shenzhen Institutes of Advanced Technology
Hao Shen
Hao Shen Anhui University of Technology
jianan fang
jianan fang Donghua University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

When considering a computer science degree in the USA, there are many flexible and affordable pathways available online. Many students search for cheap online college classes to lower tuition costs and manage expenses while earning a recognized qualification.

For those concerned about academic history, there are online schools that accept low gpa, helping more students access quality education and build strong tech careers despite earlier academic challenges.

If you're seeking a faster degree, computer science accelerated program options allow you to complete your studies in less time and start your tech career sooner.

For those interested in diverse career opportunities, studying computer science can intersect with other fields. Consider how paths like what can you do with an environmental science degree can combine computing and environmental solutions, broadening the types of roles available to you.

Best Scientists Citing Leszek Rutkowski

Trending Scientists