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Computer Science
Poland
2026
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Electronics and Electrical Engineering
Poland
2026

D-Index & Metrics

Computer Science

D-Index
122
Citations
65360
World Ranking
138
National Ranking
1

Electronics and Electrical Engineering

D-Index
104
Citations
50120
World Ranking
148
National Ranking
1

Research.com Recognitions

  • 2026 - Research.com Computer Science in Poland Leader Award
  • 2026 - Research.com Electronics and Electrical Engineering in Poland Leader Award
  • 2025 - Research.com Computer Science in Poland Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in Poland Leader Award
  • 2022 - Research.com Computer Science in Poland Leader Award

Overview

Andrzej Cichocki is affiliated with the Systems Research Institute in Poland. Their research spans multiple disciplines, primarily focused on Neuroscience and Computer Science, with a significant body of work addressing topics in Cognitive Neuroscience, Computer Vision and Pattern Recognition, Computational Mathematics, Signal Processing, and Electrical and Electronic Engineering.

The main topics covered in Andrzej Cichocki's research portfolio include:

  • EEG and Brain-Computer Interfaces
  • Tensor decomposition and applications
  • Blind Source Separation Techniques
  • Advanced Memory and Neural Computing
  • Gaze Tracking and Assistive Technology
  • Neuroscience and Neural Engineering
  • Neural dynamics and brain function

They have contributed extensively to peer-reviewed journals and conferences, with frequent publications in venues such as:

  • arXiv (Cornell University) - 22 publications
  • IEEE Transactions on Neural Systems and Rehabilitation Engineering - 10 publications
  • Journal of Neural Engineering - 8 publications
  • Journal of Neuroscience Methods - 7 publications
  • IEEE Transactions on Neural Networks and Learning Systems - 6 publications

Among recent published papers featuring topics related to neural interfaces and signal processing are:

  • "Internal Feature Selection Method of CSP Based on L1-Norm and Dempster-Shafer Theory," 2020, published in IEEE Transactions on Neural Networks and Learning Systems
  • "International Mathematical Forum," 2021, published in International Mathematical Forum
  • "Measures of resting state EEG rhythms for clinical trials in Alzheimer's disease: Recommendations of an expert panel," 2021, published in Alzheimer's & Dementia
  • "Robust Similarity Measurement Based on a Novel Time Filter for SSVEPs Detection," 2021, published in IEEE Transactions on Neural Networks and Learning Systems
  • "Prognosis for patients with cognitive motor dissociation identified by brain-computer interface," 2020, published in Brain

Andrzej Cichocki has collaborated extensively with coauthors including Jing Jin, Anh Huy Phan, Ren Xu, Ian Daly, and Salman Ahmadi-Asl, indicating strong research partnerships primarily in neural engineering and computational methods.

Best Publications

  • Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications

    Andrzej Cichocki;Shun-ichi Amari

  • A New Learning Algorithm for Blind Signal Separation

    Shun-ichi Amari;Andrzej Cichocki;Howard Hua Yang

  • Nonnegative Matrix and Tensor Factorizations: Applications to Exploratory Multi-way Data Analysis and Blind Source Separation

    Andrzej Cichocki;Rafal Zdunek;Anh Huy Phan;Shun-ichi Amari

  • A Review of Classification Algorithms for EEG-based Brain-Computer Interfaces: A 10-year Update

    Fabien Lotte;Laurent Bougrain;Andrzej Cichocki;Andrzej Cichocki;Maureen Clerc

  • Adaptive blind signal and image processing

    Andrzej Cichocki;Shun-ichi Amari

  • Nonnegative Matrix and Tensor Factorizations

    Andrzej Cichocki;Rafal Zdunek;Anh Huy Phan;Shun-Ichi Amari

  • Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis

    Andrzej Cichocki;Danilo Mandic;Lieven De Lathauwer;Guoxu Zhou

  • Steady-state visually evoked potentials: focus on essential paradigms and future perspectives.

    François-Benoît Vialatte;Monique Maurice;Justin Dauwels;Andrzej Cichocki

  • EmotionMeter: A Multimodal Framework for Recognizing Human Emotions

    Wei-Long Zheng;Wei Liu;Yifei Lu;Bao-Liang Lu

  • InfoSleuth: agent-based semantic integration of information in open and dynamic environments

    R. J. Bayardo;W. Bohrer;R. Brice;A. Cichocki

  • Adaptive blind signal processing-neural network approaches

    S. Amari;A. Cichocki

  • Fast Local Algorithms for Large Scale Nonnegative Matrix and Tensor Factorizations

    Andrzej Cichocki;Anh Huy Phan

  • Bayesian CP Factorization of Incomplete Tensors with Automatic Rank Determination

    Qibin Zhao;Liqing Zhang;Andrzej Cichocki

  • Diagnosis of Alzheimer's disease from EEG signals: where are we standing?

    Justin Dauwels;Francois Vialatte;Andrzej Cichocki

  • Flexible Independent Component Analysis

    Seungjin Choi;Andrzej Cichocki;Shun-Ichi Amari

  • Families of Alpha- Beta- and Gamma- Divergences: Flexible and Robust Measures of Similarities

    Andrzej Cichocki;Shun-ichi Amari

  • Tensor Decompositions for Signal Processing Applications From Two-way to Multiway Component Analysis

    A. Cichocki;D. Mandic;A-H. Phan;C. Caiafa

  • Stability analysis of learning algorithms for blind source separation

    Shun-Ichi Amari;Tian-Ping Chen;Andrzej Cichocki

  • Multichannel blind deconvolution and equalization using the natural gradient

    S. Amari;S.C. Douglas;A. Cichocki;H.H. Yang

  • Underdetermined blind source separation based on sparse representation

    Yuanqing Li;S. Amari;A. Cichocki;D.W.C. Ho

Frequent Co-Authors

Shun-ichi Amari
Shun-ichi Amari RIKEN Center for Brain Science
Danilo P. Mandic
Danilo P. Mandic Imperial College London
Seungjin Choi
Seungjin Choi Pohang University of Science and Technology
Liqing Zhang
Liqing Zhang Shanghai Jiao Tong University
Justin Dauwels
Justin Dauwels Nanyang Technological University
Guoxu Zhou
Guoxu Zhou Guangdong University of Technology
Xingyu Wang
Xingyu Wang East China University of Science and Technology
Jing Jin
Jing Jin East China University of Science and Technology
Shengli Xie
Shengli Xie Guangdong University of Technology

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