Andrzej Cichocki
Impact in
- Computational Mathematics top 0.01%
- Tensor decomposition and applications
- Signal Processing top 0.01%
- Blind Source Separation Techniques
- Speech and Audio Processing
Papers in
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- Blind Source Separation Techniques 346
- Speech and Audio Processing 70
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- EEG and Brain-Computer Interfaces 238
- Neural dynamics and brain function 115
- Co-authors
- Шун-ичи Амари (64 shared papers)Anh Huy Phan (71 shared papers)Rafał Zdunek (18 shared papers)Jing Jin (85 shared papers)Guoxu Zhou (40 shared papers)Qibin Zhao (53 shared papers)François Vialatte (36 shared papers)Yu Zhang (36 shared papers)
In The Last Decade
Andrzej Cichocki
739 papers receiving 30.8k citations
Andrzej Cichocki's Hit Papers
Peers
Comparison fields: 5 of 202
- Computational Mathematics 4.3k
- Signal Processing 12.1k
- Cognitive Neuroscience 12.8k
- Human-Computer Interaction 2.0k
- Analytical Chemistry 3.0k
Countries citing papers authored by Andrzej Cichocki
This map shows the geographic impact of Andrzej Cichocki's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Andrzej Cichocki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrzej Cichocki more than expected).
Fields of papers citing papers by Andrzej Cichocki
This network shows the impact of papers produced by Andrzej Cichocki. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Andrzej Cichocki. The network helps show where Andrzej Cichocki may publish in the future.
Co-authors
The 25 scholars most cited alongside Andrzej Cichocki, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 779 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A review of classification algorithms for EEG-based brain–computer interfaces: a 10 year update Hit paper breakdown → | 2018 | 1364 |
| 2 | A New Learning Algorithm for Blind Signal Separation Hit paper breakdown → | 1995 | 1263 |
| 3 | Adaptive Blind Signal and Image Processing Hit paper breakdown → | 2002 | 1213 |
| 4 | Nonnegative Matrix and Tensor Factorizations: Applications to Exploratory Multi-way Data Analysis and Blind Source Separation Hit paper breakdown → | 2009 | 1040 |
| 5 | Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis Hit paper breakdown → | 2015 | 901 |
| 6 | Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications Hit paper breakdown → | 2002 | 863 |
| 7 | EmotionMeter: A Multimodal Framework for Recognizing Human Emotions Hit paper breakdown → | 2018 | 845 |
| 8 | Nonnegative Matrix and Tensor Factorizations Hit paper breakdown → | 2009 | 837 |
| 9 | Steady-state visually evoked potentials: Focus on essential paradigms and future perspectives Hit paper breakdown → | 2009 | 800 |
| 10 | Bayesian CP Factorization of Incomplete Tensors with Automatic Rank Determination Hit paper breakdown → | 2015 | 407 |
| 11 | 2010 | 380 | |
| 12 | Fast Local Algorithms for Large Scale Nonnegative Matrix and Tensor Factorizations Hit paper breakdown → | 2009 | 360 |
| 13 | 1998 | 322 | |
| 14 | 2009 | 304 | |
| 15 | Temporally Constrained Sparse Group Spatial Patterns for Motor Imagery BCI Hit paper breakdown → | 2018 | 284 |
| 16 | Correlation-based channel selection and regularized feature optimization for MI-based BCI Hit paper breakdown → | 2019 | 281 |
| 17 | Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions Hit paper breakdown → | 2016 | 269 |
| 18 | 2010 | 252 | |
| 19 | Frequency recognition in SSVEP-based BCI using multiset canonical correlation analysis | 2014 | 239 |
| 20 | 2006 | 221 |
About Andrzej Cichocki
Andrzej Cichocki is a scholar working on Signal Processing, Cognitive Neuroscience, Artificial Intelligence, Computational Mathematics and Computational Mechanics, having authored 779 papers that have together received 32.1k indexed citations. Recurring topics across this work include Blind Source Separation Techniques (346 papers), EEG and Brain-Computer Interfaces (238 papers), Tensor decomposition and applications (122 papers), Neural dynamics and brain function (115 papers), Neural Networks and Applications (108 papers), Spectroscopy and Chemometric Analyses (90 papers), Speech and Audio Processing (70 papers) and Sparse and Compressive Sensing Techniques (68 papers). The work is most often cited by research in Computational Mathematics (4.3k citations), Signal Processing (12.1k citations), Cognitive Neuroscience (12.8k citations), Human-Computer Interaction (2.0k citations) and Analytical Chemistry (3.0k citations). Andrzej Cichocki has collaborated with scholars based in Japan, Poland and China. Frequent co-authors include Шун-ичи Амари, Anh Huy Phan, Rafał Zdunek, Jing Jin, Guoxu Zhou, Qibin Zhao, François Vialatte, Yu Zhang, Howard H. Yang and Justin Dauwels. Their work appears in journals such as Electronics Letters, IEEE Transactions on Signal Processing, Neurocomputing, IEEE Transactions on Neural Systems and Rehabilitation Engineering and International Journal of Neural Systems.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.