2026 Krzysztof Cpałka: 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	36	11409	11085	27	26	120	3074

Overview

Krzysztof Cpałka is affiliated with the Częstochowa University of Technology in Poland. Their research spans multiple areas primarily within computer science and engineering, with a significant focus on artificial intelligence and related computational fields.

Their work includes contributions to these main fields of study:

Computer Science
Engineering

Within these broader areas, their subfields of study are:

Artificial Intelligence
Materials Chemistry
Computer Vision and Pattern Recognition
Computational Theory and Mathematics
Signal Processing

The primary topics frequently addressed in their publications include:

Metaheuristic Optimization Algorithms Research
Evolutionary Algorithms and Applications
Advanced Multi-Objective Optimization Algorithms
Porphyrin and Phthalocyanine Chemistry
Image Retrieval and Classification Techniques
Fuzzy Logic and Control Systems
Solar Radiation and Photovoltaics

The scientist has authored multiple papers in respected publication venues. Frequent publication venues are:

Journal of Artificial Intelligence and Soft Computing Research
IEEE Transactions on Industrial Informatics
Materials
International Journal of Molecular Sciences
Applied Energy

Best Publications

Flexible neuro-fuzzy systems

L. Rutkowski;K. Cpalka

438
Citations
New method for the on-line signature verification based on horizontal partitioning

Krzysztof Cpałka;Marcin Zalasiński;Leszek Rutkowski

108
Citations
A new algorithm for identity verification based on the analysis of a handwritten dynamic signature

Krzysztof Cpałka;Marcin Zalasiński;Leszek Rutkowski

106
Citations
On-line signature verification using vertical signature partitioning

Krzysztof Cpałka;Marcin Zalasiński

102
Citations
Novel Online Speed Profile Generation for Industrial Machine Tool Based on Flexible Neuro-Fuzzy Approximation

L. Rutkowski;A. Przybyl;K. Cpalka

99
Citations
Designing and learning of adjustable quasi-triangular norms with applications to neuro-fuzzy systems

L. Rutkowski;K. Cpalka

87
Citations
A new method for designing neuro-fuzzy systems for nonlinear modelling with interpretability aspects

K. Cpałka;K. Łapa;A. Przybył;M. Zalasiński

85
Citations
On design of flexible neuro-fuzzy systems for nonlinear modelling

Krzysztof Cpalka;Olga Yu. Rebrova;Robert Nowicki;Leszek Rutkowski

79
Citations
Design of Interpretable Fuzzy Systems

Krzysztof Cpałka

73
Citations
On evolutionary designing and learning of flexible neuro-fuzzy structures for nonlinear classification

Krzysztof Cpałka

71
Citations
A New Method for Design and Reduction of Neuro-Fuzzy Classification Systems

K. Cpalka

68
Citations
Flexible Takagi-Sugeno fuzzy systems

K. Cpalka;L. Rutkowski

63
Citations
A method for designing flexible neuro-fuzzy systems

Krzysztof Cpalka

63
Citations
Flexible Takagi Sugeno Neuro Fuzzy Structures for Nonlinear Approximation

Krzysztof Cpałka;Leszek Rutkowski

62
Citations
A New Method for Designing and Reduction of Neuro-Fuzzy Systems

K. Cpalka;L. Rutkowski

62
Citations
Neuro-fuzzy systems derived from quasi-triangular norms

L. Rutkowski;K. Cpalka

60
Citations
A neuro-fuzzy controller with a compromise fuzzy reasoning

Leszek Rutkowski;Krzysztof Cpałka

59
Citations
Online speed profile generation for industrial machine tool based on neuro-fuzzy approach

Leszek Rutkowski;Andrzej Przybył;Krzysztof Cpałka;Meng Joo Er

59
Citations
Flexible weighted neuro-fuzzy systems

L. Rutkowski;K. Cpalka

56
Citations
A general approach to neuro-fuzzy systems

L. Rutkowski;K. Cpalka

56
Citations

Frequent Co-Authors

Leszek Rutkowski AGH University of Science and Technology

Yoichi Hayashi Meiji University

Lipo Wang Nanyang Technological University

I.V. Kityk Częstochowa University of Technology

Gary G. Yen Oklahoma State University

Donald C. Wunsch Missouri University of Science and Technology

Zhigang Zeng Huazhong University of Science and Technology

Yaochu Jin Westlake University

External Links

Personal website of Krzysztof Cpałka Google Scholar page

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

Related Online Degrees & Career Pathways

Exploring computer science in the USA opens doors to a wide range of online degree options and career opportunities. For those looking to accelerate their education, a fast track computer science degree offers a way to quickly build technical skills and join the workforce sooner.

Computer science is also closely related to several other disciplines. For example, understanding what can you do with an environmental science degree can help you see how computing intersects with sustainability, environmental monitoring, and resource management.

Engineering fields are another popular pathway for computer science students. If you're interested in sustainability, consider the benefits of environmental engineering degrees online to learn practical, tech-driven solutions to modern environmental challenges. Similarly, an online degree in mechanical engineering prepares you for roles in robotics, automation, and advanced manufacturing—areas where computer science skills are in high demand.