H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 105 Citations 46,251 705 World Ranking 111 National Ranking 1

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Statistics
  • Algorithm

His main research concerns Artificial intelligence, Algorithm, Pattern recognition, Blind signal separation and Brain–computer interface. His studies in Artificial intelligence integrate themes in fields like Machine learning and Computer vision. His work deals with themes such as Matrix decomposition, Non-negative matrix factorization, Independent component analysis, Mathematical optimization and Signal processing, which intersect with Algorithm.

His work carried out in the field of Pattern recognition brings together such families of science as Spatial filter, Robustness and Nonlinear system. His Blind signal separation research includes elements of Matrix, Sparse matrix, Source separation, Component analysis and Sparse approximation. His Brain–computer interface study incorporates themes from Speech recognition and Event-related potential.

His most cited work include:

  • A New Learning Algorithm for Blind Signal Separation (1834 citations)
  • Nonnegative Matrix and Tensor Factorizations: Applications to Exploratory Multi-way Data Analysis and Blind Source Separation (1346 citations)
  • Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications (1289 citations)

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

His primary areas of study are Artificial intelligence, Algorithm, Pattern recognition, Electroencephalography and Speech recognition. His research investigates the connection between Artificial intelligence and topics such as Brain–computer interface that intersect with issues in Stimulus. His Algorithm research is multidisciplinary, relying on both Matrix decomposition, Matrix, Non-negative matrix factorization, Blind signal separation and Mathematical optimization.

His Blind signal separation research incorporates elements of Independent component analysis, Sparse approximation, Source separation and Signal processing. His Pattern recognition study frequently links to related topics such as Tensor. Electroencephalography is the subject of his research, which falls under Neuroscience.

He most often published in these fields:

  • Artificial intelligence (45.29%)
  • Algorithm (29.42%)
  • Pattern recognition (35.10%)

What were the highlights of his more recent work (between 2016-2021)?

  • Artificial intelligence (45.29%)
  • Pattern recognition (35.10%)
  • Electroencephalography (24.52%)

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

Andrzej Cichocki mainly investigates Artificial intelligence, Pattern recognition, Electroencephalography, Brain–computer interface and Feature extraction. Andrzej Cichocki has included themes like Machine learning and Interface in his Artificial intelligence study. His Pattern recognition research is multidisciplinary, incorporating elements of Statistical hypothesis testing, Noise reduction, Tensor and Feature.

His Brain–computer interface research incorporates themes from Stimulus, Speech recognition, Information transfer and Human–computer interaction. His Artificial neural network study combines topics in areas such as Algorithm, Compression and Rank. The Algorithm study combines topics in areas such as Matrix and Multilinear map.

Between 2016 and 2021, his most popular works were:

  • A Review of Classification Algorithms for EEG-based Brain-Computer Interfaces: A 10-year Update (516 citations)
  • A Review of Classification Algorithms for EEG-based Brain-Computer Interfaces: A 10-year Update (516 citations)
  • Multi-kernel extreme learning machine for EEG classification in brain-computer interfaces (123 citations)

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

  • Artificial intelligence
  • Statistics
  • Machine learning

Andrzej Cichocki mainly focuses on Artificial intelligence, Pattern recognition, Brain–computer interface, Motor imagery and Electroencephalography. The study incorporates disciplines such as Machine learning and Interface in addition to Artificial intelligence. The Pattern recognition study combines topics in areas such as Optimization problem, Theoretical computer science and Spectral bands.

His Brain–computer interface research includes themes of Classifier, Speech recognition, Extreme learning machine, Kernel and Polynomial kernel. His biological study spans a wide range of topics, including Mental representation, Correlation, Communication channel, Spatial filter and Algorithm. His Electroencephalography research incorporates elements of Artificial neural network, Visualization, Cognition and Synchronization.

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

Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications

Andrzej Cichocki;Shun-ichi Amari.
(2002)

3381 Citations

A New Learning Algorithm for Blind Signal Separation

Shun-ichi Amari;Andrzej Cichocki;Howard Hua Yang.
neural information processing systems (1995)

2943 Citations

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.
(2009)

2209 Citations

Adaptive blind signal and image processing

Andrzej Cichocki;Shun-ichi Amari.
(2002)

1754 Citations

Nonnegative Matrix and Tensor Factorizations

Andrzej Cichocki;Rafal Zdunek;Anh Huy Phan;Shun-Ichi Amari.
IEEE Signal Processing Magazine (2009)

1382 Citations

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

Andrzej Cichocki;Danilo Mandic;Lieven De Lathauwer;Guoxu Zhou.
IEEE Signal Processing Magazine (2015)

857 Citations

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

François-Benoît Vialatte;Monique Maurice;Justin Dauwels;Andrzej Cichocki.
Progress in Neurobiology (2010)

812 Citations

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

R. J. Bayardo;W. Bohrer;R. Brice;A. Cichocki.
international conference on management of data (1997)

759 Citations

Adaptive blind signal processing-neural network approaches

S. Amari;A. Cichocki.
Proceedings of the IEEE (1998)

705 Citations

Stability analysis of learning algorithms for blind source separation

Shun-Ichi Amari;Tian-Ping Chen;Andrzej Cichocki.
Neural Networks (1997)

473 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.

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

Contact us

Top Scientists Citing Andrzej Cichocki

Danilo P. Mandic

Danilo P. Mandic

Imperial College London

Publications: 91

Vince D. Calhoun

Vince D. Calhoun

Georgia State University

Publications: 86

Saeid Sanei

Saeid Sanei

Nottingham Trent University

Publications: 74

Carlos G. Puntonet

Carlos G. Puntonet

University of Granada

Publications: 72

Shoji Makino

Shoji Makino

University of Tsukuba

Publications: 70

Tulay Adali

Tulay Adali

University of Maryland, Baltimore County

Publications: 68

Christian Jutten

Christian Jutten

Grenoble Alpes University

Publications: 64

Seungjin Choi

Seungjin Choi

Pohang University of Science and Technology

Publications: 63

Scott C. Douglas

Scott C. Douglas

Southern Methodist University

Publications: 62

Fabian J. Theis

Fabian J. Theis

Technical University of Munich

Publications: 60

Lieven De Lathauwer

Lieven De Lathauwer

KU Leuven

Publications: 59

Erkki Oja

Erkki Oja

Aalto University

Publications: 56

Wai Lok Woo

Wai Lok Woo

Northumbria University

Publications: 53

Pierre Comon

Pierre Comon

Grenoble Alpes University

Publications: 49

Hiroshi Saruwatari

Hiroshi Saruwatari

University of Tokyo

Publications: 49

Something went wrong. Please try again later.