H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 32 Citations 4,940 165 World Ranking 7127 National Ranking 14

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Artificial neural network

His primary areas of study are Artificial intelligence, Artificial neural network, Data mining, Computational intelligence and Pattern recognition. The Artificial intelligence study combines topics in areas such as Machine learning and Theoretical computer science. His biological study spans a wide range of topics, including Adaptive system and Fuzzy control system.

His study in Data mining focuses on Decision tree in particular. He focuses mostly in the field of Computational intelligence, narrowing it down to matters related to Data science and, in some cases, Intelligent decision support system and Management science. The study incorporates disciplines such as Entropy, Clustering high-dimensional data, Filter and Selection in addition to Pattern recognition.

His most cited work include:

  • A shared task involving multi-label classification of clinical free text (279 citations)
  • A new methodology of extraction, optimization and application of crisp and fuzzy logical rules (242 citations)
  • Computational intelligence methods for rule-based data understanding (179 citations)

What are the main themes of his work throughout his whole career to date?

His primary scientific interests are in Artificial intelligence, Artificial neural network, Machine learning, Pattern recognition and Data mining. Artificial intelligence is frequently linked to Natural language processing in his study. His studies deal with areas such as Semantic memory, Information retrieval and Knowledge representation and reasoning as well as Natural language processing.

His work carried out in the field of Artificial neural network brings together such families of science as Algorithm and Fuzzy logic. His Machine learning research includes themes of Fuzzy rule and Meta learning. His primary area of study in Data mining is in the field of Decision tree.

He most often published in these fields:

  • Artificial intelligence (55.39%)
  • Artificial neural network (33.46%)
  • Machine learning (15.99%)

What were the highlights of his more recent work (between 2015-2021)?

  • Artificial intelligence (55.39%)
  • Electroencephalography (2.60%)
  • Neuroscience (2.97%)

In recent papers he was focusing on the following fields of study:

His scientific interests lie mostly in Artificial intelligence, Electroencephalography, Neuroscience, Artificial neural network and Pattern recognition. Włodzisław Duch connects Artificial intelligence with Art in his research. His work in the fields of Brain activity and meditation overlaps with other areas such as Tracing.

His work on Auditory cortex, Elementary cognitive task, Neuroplasticity and Brainstem as part of general Neuroscience study is frequently linked to Sensory deprivation, bridging the gap between disciplines. His Artificial neural network study combines topics from a wide range of disciplines, such as Computational neuroscience, Class and Central nervous system. Włodzisław Duch combines subjects such as Regularization and Sample with his study of Pattern recognition.

Between 2015 and 2021, his most popular works were:

  • Transition of the functional brain network related to increasing cognitive demands (41 citations)
  • Dynamic reconfiguration of functional brain networks during working memory training. (32 citations)
  • Neural network modelling of the influence of channelopathies on reflex visual attention. (7 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Machine learning
  • Quantum mechanics

Włodzisław Duch mainly investigates Cognition, Working memory training, Default mode network, Modularity and Cognitive psychology. His study in Cognition is interdisciplinary in nature, drawing from both Social psychology, Information processing and Psychoanalysis. His Working memory training research is multidisciplinary, incorporating elements of Resting state fMRI, Context, Cognitive training and Human brain.

The various areas that Włodzisław Duch examines in his Default mode network study include Workspace and Dynamic network analysis. He has researched Cognitive psychology in several fields, including DUAL, Visual attention, Reflex and Word error rate. Other disciplines of study, such as Computer architecture, Functional brain, Human–computer interaction, Adaptation and Brain mapping, are mixed together with his Control reconfiguration studies.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

A new methodology of extraction, optimization and application of crisp and fuzzy logical rules

W. Duch;R. Adamczak;K. Grabczewski.
IEEE Transactions on Neural Networks (2001)

412 Citations

A shared task involving multi-label classification of clinical free text

John P. Pestian;Chris Brew;Pawel Matykiewicz;DJ Hovermale.
meeting of the association for computational linguistics (2007)

404 Citations

Computational intelligence methods for rule-based data understanding

W. Duch;R. Setiono;J.M. Zurada.
Proceedings of the IEEE (2004)

261 Citations

Cognitive Architectures: Where do we go from here?

Włodzisław Duch;Richard J. Oentaryo;Michel Pasquier.
artificial general intelligence (2008)

215 Citations

Feature Selection for High-Dimensional Data — A Pearson Redundancy Based Filter

Jacek Biesiada;Wlodzisław Duch.
computer recognition systems (2007)

195 Citations

Symmetric group approach to configuration interaction methods

Włodzisław Duch;Jacek Karwowski.
Computer Physics Reports (1985)

151 Citations

Artificial Neural Networks: Formal Models and Their Applications - ICANN 2005

Włodzisław Duch;Janusz Kacprzyk;Erkki Oja;Sławomir Zadrożny.
Lecture Notes in Computer Science (2005)

150 Citations

Processing text with domain-specific spreading activation methods

John P. Pestian;Pawel Matykiewicz;Wlodzislaw Duch;Tracy A. Glauser.
(2008)

149 Citations

Similarity-based methods: a general framework for classification, approximation and association

Włodzisław Duch.
Control and Cybernetics (2000)

127 Citations

Transfer functions: hidden possibilities for better neural networks.

Wlodzislaw Duch;Norbert Jankowski.
the european symposium on artificial neural networks (2001)

126 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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