Andrzej Cichocki
- Cognitive Neuroscience top 0.05%
- Signal Processing top 0.01%
- Artificial Intelligence top 0.1%
- Computational Mechanics top 0.05%
- Computational Mathematics top 0.01%
- Co-authors
- Шун-ичи АмариAnh Huy PhanRafał ZdunekJing JinGuoxu ZhouQibin ZhaoFrançois VialatteYu Zhang
- Topics
- Blind Source Separation Techniques (351 papers)EEG and Brain-Computer Interfaces (241 papers)Neural dynamics and brain function (123 papers)
In The Last Decade
Andrzej Cichocki
727 papers receiving 30.0k citations
Hit Papers
Peers
Comparison fields: 5 of 208
- Cognitive Neuroscience 12.9k
- Signal Processing 12.3k
- Artificial Intelligence 5.4k
- Computational Mechanics 4.6k
- Computational Mathematics 4.2k
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-authorship network of co-authors of Andrzej Cichocki
This figure shows the co-authorship network connecting the top 25 collaborators of Andrzej Cichocki. A scholar is included among the top collaborators of Andrzej Cichocki based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Andrzej Cichocki. Andrzej Cichocki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 46 | |
| 12 | 4 | |
| 13 | 29 | |
| 14 | 90 | |
| 15 | 114 | |
| 16 | 9 | |
| 17 | Temporally Constrained Sparse Group Spatial Patterns for Motor Imagery BCIbreakdown → | 280 |
| 18 | 70 | |
| 19 | Total Variation Regularized Tensor RPCA for Background Subtraction from Compressive Measurements | 84 |
| 20 | 32 |
About Andrzej Cichocki
Andrzej Cichocki is a scholar working on Computational Mathematics, Signal Processing and Cognitive Neuroscience, having authored 769 papers that have together received 31.4k indexed citations. Recurring topics across this work include Blind Source Separation Techniques (351 papers), EEG and Brain-Computer Interfaces (241 papers) and Neural dynamics and brain function (123 papers). The work is most often cited by research in Computational Mathematics (4.2k citations), Signal Processing (12.3k citations) and Cognitive Neuroscience (12.9k 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 Physical Review Letters, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.