Andrzej Cichocki

51.7k citations
779 papers · 32.1k · 15 hit papers · h-index 86

Impact in

Papers in

Andrzej Cichocki

739 papers receiving 30.8k citations

Andrzej Cichocki's Hit Papers

Internal Feature Selection Method of CSP Based on L1-Norm and Dempster–Shafer Theory 2020 · 219 citations
2190+10+20Years since publication4008001.2k

Peers

Andrzej Cichocki
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
Replace Danilo P. Mandic with:
Danilo P. Mandic United Kingdom
Шун-ичи Амари Japan
Shuicheng Yan Singapore
Klaus‐Robert Müller Germany
Joos Vandewalle Belgium
Jieping Ye United States
Vince D. Calhoun United States
Aapo Hyvärinen Finland
Sabine Van Huffel Belgium
Daniel D. Lee United States
Andrzej Cichocki relative to Danilo P. Mandic United Kingdom Danilo P. Mandic's profile →
Citations per field
00.5×8.6×
Danilo P. Mandic · 1×
Citations per year

Countries citing papers authored by Andrzej Cichocki

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Andrzej Cichocki Line = papers co-authored together Andrzej Cichocki links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

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
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20181364
2
A New Learning Algorithm for Blind Signal Separation
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19951263
3
Adaptive Blind Signal and Image Processing
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20021213
4
Nonnegative Matrix and Tensor Factorizations: Applications to Exploratory Multi-way Data Analysis and Blind Source Separation
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20091040
5
Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis
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2015901
6
Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications
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2002863
7
EmotionMeter: A Multimodal Framework for Recognizing Human Emotions
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2018845
8
Nonnegative Matrix and Tensor Factorizations
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2009837
9
Steady-state visually evoked potentials: Focus on essential paradigms and future perspectives
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2009800
10
Bayesian CP Factorization of Incomplete Tensors with Automatic Rank Determination
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2015407
11 2010380
12
Fast Local Algorithms for Large Scale Nonnegative Matrix and Tensor Factorizations
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2009360
13 1998322
14 2009304
15
Temporally Constrained Sparse Group Spatial Patterns for Motor Imagery BCI
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2018284
16
Correlation-based channel selection and regularized feature optimization for MI-based BCI
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2019281
17
Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions
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2016269
18 2010252
19
Frequency recognition in SSVEP-based BCI using multiset canonical correlation analysis
2014239
20 2006221

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.

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