2026 Jacek M. Zurada: 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	55	4228	4111	1997	1928	367	15724

Jacek M. Zurada 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 Jacek M. Zurada sits on this spectrum.

32 publications 991+

This scientist: 367 publications — 84th percentile

84% of scientists in this discipline score the same or lower.

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

Jacek M. Zurada 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 Jacek M. Zurada sits on this spectrum.

30 D-Index 131+

This scientist: 55 D-Index — 71st percentile

71% 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

2005 - Polish Academy of Science

Overview

Jacek M. Zurada is affiliated with the University of Louisville in the United States. Their research primarily spans the fields of Computer Science and Engineering, with a focus on subfields including Artificial Intelligence, Computational Mechanics, Signal Processing, Developmental and Educational Psychology, and Computer Science Applications.

The scientist's main research topics cover Neural Networks and Applications, Machine Learning and Extreme Learning Machines, Blind Source Separation Techniques, Intelligent Tutoring Systems and Adaptive Learning, Online Learning and Analytics, Neural Networks Stability and Synchronization, and Sparse and Compressive Sensing Techniques.

Zurada's recent publications include:

Local Levenberg-Marquardt Algorithm for Learning Feedforward Neural Networks, 2020, Journal of Artificial Intelligence and Soft Computing Research
A recalling-enhanced recurrent neural network: Conjugate gradient learning algorithm and its convergence analysis, 2020, Information Sciences
Deterministic convergence analysis via smoothing group Lasso regularization and adaptive momentum for Sigma-Pi-Sigma neural network, 2020, Information Sciences
Convergence analysis for sigma-pi-sigma neural network based on some relaxed conditions, 2021, Information Sciences
A Novel Fast Feedforward Neural Networks Training Algorithm, 2021, Journal of Artificial Intelligence and Soft Computing Research

The frequent coauthors with whom Zurada has collaborated include Vinit Kumar Gunjan, Ninni Singh, Qinwei Fan, Jarosław Bilski, and Bartosz Kowalczyk.

Key publication venues for Zurada's work are:

Journal of Artificial Intelligence and Soft Computing Research
Information Sciences
IEEE Transactions on Neural Networks and Learning Systems
Swarm and Evolutionary Computation
IEEE/CAA Journal of Automatica Sinica

Regarding book publications, Zurada has contributed to titles published mostly by Springer Science+Business Media, including:

Artificial Intelligence and Soft Computing (2023)
Computational Intelligence in Machine Learning (2024)
Multiple editions of Artificial Intelligence and Soft Computing (2023)

Additional book publications include:

Proceedings of 3rd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications (2023), published by Springer International Publishing
Cognitive Tutor (2022), published by Springer Nature

Among recognized acknowledgments, Zurada received an award from the Polish Academy of Science in 2005.

Best Publications

Normalized Mutual Information Feature Selection

P.A. Estevez;M. Tesmer;C.A. Perez;J.M. Zurada

1483
Citations
2008 Special Issue: Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance

Maciej A. Mazurowski;Piotr A. Habas;Jacek M. Zurada;Joseph Y. Lo

828
Citations
Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance

Maciej A. Mazurowski;Piotr A. Habas;Jacek M. Zurada;Joseph Y. Lo

698
Citations
An approach to multimodal biomedical image registration utilizing particle swarm optimization

M.P. Wachowiak;R. Smolikova;Yufeng Zheng;J.M. Zurada

569
Citations
Artificial Intelligence and Soft Computing

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

560
Citations
Swarm and Evolutionary Computation

Leszek Rutkowski;Marcin Korytkowski;Rafał Scherer;Ryszard Tadeusiewicz

513
Citations
Complex-valued multistate neural associative memory

S. Jankowski;A. Lozowski;J.M. Zurada

494
Citations
Artificial Intelligence and Soft Computing – ICAISC 2006

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

398
Citations
Classification algorithms for quantitative tissue characterization of diffuse liver disease from ultrasound images

Y.M. Kadah;A.A. Farag;J.M. Zurada;A.M. Badawi

341
Citations
Computational Intelligence: Imitating Life

Robert J. Marks;Jacek M. Zurada;Charles J. Robinson

336
Citations
Advances in Neural Networks - ISNN 2006

Jun Wang;Zhang Yi;Jacek M. Zurada;Bao-Liang Lu

315
Citations
2015 IEEE Symposium Series on Computational Intelligence

Honorary Chairs;Jacek Zurada;Andries Engelbrecht;Mengjie Zhang

299
Citations
Computational intelligence methods for rule-based data understanding

W. Duch;R. Setiono;J.M. Zurada

298
Citations
Sensitivity analysis for minimization of input data dimension for feedforward neural network

J.M. Zurada;A. Malinowski;I. Cloete

278
Citations
Extraction of rules from artificial neural networks for nonlinear regression

R. Setiono;Wee Kheng Leow;J.M. Zurada

272
Citations
A new design method for the complex-valued multistate Hopfield associative memory

M.K. Muezzinoglu;C. Guzelis;J.M. Zurada

267
Citations
Generalized Core Vector Machines

I.W.H. Tsang;J.T.Y. Kwok;J.A. Zurada

260
Citations
Review and performance comparison of SVM- and ELM-based classifiers

Jan Chorowski;Jan Chorowski;Jian Wang;Jian Wang;Jian Wang;Jacek M. Zurada

240
Citations
Nonlinear blind source separation using a radial basis function network

Ying Tan;Jun Wang;J.M. Zurada

239
Citations
Deep Learning of Part-Based Representation of Data Using Sparse Autoencoders With Nonnegativity Constraints

Ehsan Hosseini-Asl;Jacek M. Zurada;Olfa Nasraoui

239
Citations

Frequent Co-Authors

Maciej A. Mazurowski Duke University

Georgia D. Tourassi Oak Ridge National Laboratory

Waldemar Karwowski University of Central Florida

Leszek Rutkowski AGH University of Science and Technology

Lotfi A. Zadeh University of California, Berkeley

William S. Marras The Ohio State University

Rudy Setiono National University of Singapore

Ayman El-Baz University of Louisville

Zhang Yi Sichuan University

Andries P. Engelbrecht Stellenbosch University

External Links

Wikipedia of Jacek M. Zurada Personal website of Jacek M. Zurada

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