EEG and Brain-Computer Interfaces
EEG and Brain-Computer Interfaces is a research topic within Cognitive Neuroscience. Science Explorer counts 84k research works in it since 1950. 16.6% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the development and application of Brain-Computer Interfaces (BCIs) in neuroscience and medicine. It covers topics such as EEG analysis, neuroprosthetics, BCI technology, motor imagery, epilepsy detection, cortical control, neural ensemble physiology, BCI communication, and deep learning for EEG decoding.
- Brain-Computer Interfaces
- EEG Analysis
- Neuroprosthetics
- BCI Technology
- Motor Imagery
- Epilepsy Detection
- Cortical Control
- Neural Ensemble Physiology
- BCI Communication
- Deep Learning for EEG
- Research works
- 84k fractional, since 1950
- In the world top 10%
- 14k per year above
- Top-10% rate
- 16.6% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +42% the tick is no change
Which countries lead EEG and Brain-Computer Interfaces research?
By volume, China and the United States publish the most (4.7k and 3.2k works in 2022–2025).
By volume, 2022–2025
- 1 China 4.7k works
- 2 United States 3.2k works
- 3 India 2.6k works
- 4 Germany 725 works
- 5 United Kingdom 693 works
- 6 Italy 651 works
- 7 Japan 640 works
- 8 South Korea 506 works
- 9 Canada 474 works
- 10 France 456 works
How concentrated that is
The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.
Shares of the rows listed above, not of the whole node.
Which institutions lead EEG and Brain-Computer Interfaces research?
By volume in 2022–2025, Shanghai Jiao Tong University publishes the most EEG and Brain-Computer Interfaces research, followed by SRM Institute of Science and Technology and Vellore Institute of Technology University.
By volume, 2022–2025
- 1 Shanghai Jiao Tong UniversityChina 91 works
- 2 SRM Institute of Science and TechnologyIndia 85 works
- 3 Vellore Institute of Technology UniversityIndia 78 works
- 4 Korea UniversitySouth Korea 76 works
- 5 Chinese Academy of SciencesChina 73 works
- 6 Tianjin UniversityChina 72 works
- 7 Tsinghua UniversityChina 66 works
- 8 University of Electronic Science and Technology of ChinaChina 65 works
- 9 Zhejiang UniversityChina 64 works
- 10 Hangzhou Dianzi UniversityChina 61 works
Who are the leading researchers in EEG and Brain-Computer Interfaces?
The most-cited researchers publishing on EEG and Brain-Computer Interfaces include Witold Pedrycz.
- 1 Witold Pedrycz Canada 5.4k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is EEG and Brain-Computer Interfaces research done?
The largest centres of EEG and Brain-Computer Interfaces research in 2022–2025 are Beijing (China), Shanghai (China), Chennai (India) and Hangzhou (China). Among places with at least 20 works in it, it is an unusually large share of all research in Chennai.
Largest cities, 2022–2025
Where it is the local speciality
- Chennai31.6 works7.6×
Location quotient: how much more of its research is in EEG and Brain-Computer Interfaces than the world average.
Where is the best place to study EEG and Brain-Computer Interfaces?
Among universities, judged by research, Hangzhou Dianzi University, Indian Institute of Technology Indore and University of Southern Queensland score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Hangzhou Dianzi UniversityChina | 63.6 | 27.3% | 9.1× | 61 | +89.5% |
| 2 | Indian Institute of Technology IndoreIndia | 60.8 | 54.3% | 5.7× | 20 | +98.8% |
| 3 | University of Southern QueenslandAustralia | 58.9 | 54.0% | 6.6× | 18 | -9.7% |
| 4 | Khulna University of Engineering and TechnologyBangladesh | 58.1 | 18.4% | 10.2× | 19 | +308.7% |
| 5 | Korea UniversitySouth Korea | 57.0 | 19.9% | 7.3× | 76 | +50.9% |
| 6 | Shandong Normal UniversityChina | 55.5 | 37.8% | 4.7× | 24 | +231.3% |
| 7 | Vellore Institute of Technology UniversityIndia | 54.9 | 20.5% | 3.9× | 78 | +288.1% |
| 8 | Karunya UniversityIndia | 54.6 | 5.9% | 11.6× | 33 | +640.7% |
| 9 | South China Normal UniversityChina | 53.7 | 24.0% | 5.4× | 38 | +183.7% |
| 10 | King Saud UniversitySaudi Arabia | 53.4 | 40.7% | 1.5× | 27 | +140.8% |
Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.
Is EEG and Brain-Computer Interfaces research growing?
Output in 2018–2022 was 42% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are EEG and Brain-Computer Interfaces.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Which topics inside it are moving
Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.