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. 9.8% 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
In the world top 10%: 8.2k
Top-10% rate: 9.8%
Growth, 2018-21 → 2022-25: +30%
Largest producer: China

EEG and Brain-Computer Interfaces

Which countries lead EEG and Brain-Computer Interfaces research?

By volume, China and the United States publish the most (5.4k and 3.5k works in 2022-now).

By volume, 2022-now

1 China 5.4k works
2 United States 3.5k works
3 India 3k works
4 Germany 793 works
5 United Kingdom 767 works
6 Italy 714 works
7 Japan 702 works
8 South Korea 569 works
9 Canada 525 works
10 France 503 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.

China5,404 · 32.9%United States3,492 · 21.2%India2,970 · 18.1%Germany793 · 4.8%6 others listed3,780 · 23.0%

Shares of the rows listed above, not of the whole node.

Which institutions lead EEG and Brain-Computer Interfaces research?

By volume in 2022-now, Chinese Academy of Sciences publishes the most EEG and Brain-Computer Interfaces research, followed by Harvard University and Centre National de la Recherche Scientifique.

By volume, 2022-now

1 Chinese Academy of SciencesChina 223 works
2 Harvard UniversityUnited States 147 works
3 Centre National de la Recherche ScientifiqueFrance 142 works
4 Shanghai Jiao Tong UniversityChina 130 works
5 SRM Institute of Science and TechnologyIndia 112 works
6 Zhejiang UniversityChina 103 works
7 Korea UniversitySouth Korea 89 works
8 Vellore Institute of Technology UniversityIndia 88 works
9 Fudan UniversityChina 84 works
10 Tsinghua UniversityChina 82 works

Who are the leading researchers in EEG and Brain-Computer Interfaces?

The most-cited researchers publishing on EEG and Brain-Computer Interfaces include Zhong Lin Wang, Yoshua Bengio and Valery L. Feigin.

1 Zhong Lin Wang United States 491k citations
2 Yoshua Bengio Canada 476k citations
3 Valery L. Feigin New Zealand 341k citations
4 Gregory Y.H. Lip United Kingdom 311k citations
5 Karl John Friston United Kingdom 310k citations
6 Dan J. Stein South Africa 306k citations
7 Wei Huang China 267k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

What are the most cited papers in EEG and Brain-Computer Interfaces?

The most cited paper in EEG and Brain-Computer Interfaces is "EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis" (Arnaud Delorme, Scott Makeig, 2004), with 25,692 citations. Next come "FieldTrip: Open Source Software for Advanced Analysis of MEG, EEG, and Invasive Electrophysiological Data" (11,541) and "Nonparametric statistical testing of EEG- and MEG-data" (9,461).

Most cited papers
#	Paper	Released	Citations
1	EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis Arnaud Delorme, Scott Makeig · Journal of Neuroscience Methods	5 Feb 2004	25,692
2	FieldTrip: Open Source Software for Advanced Analysis of MEG, EEG, and Invasive Electrophysiological Data Robert Oostenveld, Pascal Henry Fries, Eric Maris et al. · Computational Intelligence and Neuroscience Open access	23 Dec 2010	11,541
3	Nonparametric statistical testing of EEG- and MEG-data Eric Maris, Robert Oostenveld · Journal of Neuroscience Methods Open access	11 Apr 2007	9,461
4	The human brain is intrinsically organized into dynamic, anticorrelated functional networks Michael David Fox, Abraham Z. Snyder, Justin L. Vincent et al. · Proceedings of the National Academy of Sciences Open access	23 Jun 2005	8,956
5	Updating P300: An integrative theory of P3a and P3b John M Polich · Clinical Neurophysiology Open access	19 Jun 2007	8,109

All 100 most cited papers, with filters and sorting

Where is EEG and Brain-Computer Interfaces research done?

The largest centres of EEG and Brain-Computer Interfaces research in 2022-now are Beijing (China), Shanghai (China), Chennai (India) and Seoul (South Korea).

Largest cities, 2022-now

1 BeijingChina 944 works
2 ShanghaiChina 506 works
3 ChennaiIndia 350 works
4 SeoulSouth Korea 305 works
5 HangzhouChina 304 works
6 GuangzhouChina 276 works
7 TianjinChina 266 works
8 Xi'anChina 254 works
9 TokyoJapan 250 works
10 NanjingChina 241 works

See EEG and Brain-Computer Interfaces on the map

Where is the best place to study EEG and Brain-Computer Interfaces?

Among universities, judged by research, University of Southern Queensland, Harvard University and King Saud University 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.

above the meannear itbelow it

One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.

Excellenceshare of its work in the world top 10%, 2022-now and all time averaged

40%

Specialisationhow much of its work is in this field, counted up to 10× the world share

10%

Sizeits output in this field, on a log scale

30%

Growthoutput growth, counted from -20% to +20%

10%

Internationalshare of its work with a co-author abroad

10%

Each slider sets a weight; the share it gets of the score is beside it.

#	University	Score	Top 10%	Specialisation	Works	Growth
1	University of Southern QueenslandAustralia	69.7	38.0%	7.1×	19	+173.4%
2	Harvard UniversityUnited States	64.4	13.4%	2.3×	147	+11.4%
3	King Saud UniversitySaudi Arabia	60.7	31.8%	1.5×	29	+8.6%
4	Korea UniversitySouth Korea	59.4	9.8%	7.7×	89	+62.2%
5	Indian Institute of Technology IndoreIndia	58.8	24.7%	6.1×	21	+37.5%
6	Shanghai Jiao Tong UniversityChina	58.2	11.1%	2.3×	130	+70.4%
7	Hangzhou Dianzi UniversityChina	57.9	15.6%	10.4×	68	+83.5%
8	Huazhong University of Science and TechnologyChina	56.6	26.1%	1.3×	48	+156.4%
9	Shandong UniversityChina	56.5	25.4%	1.6×	42	+139.0%
10	South China University of TechnologyChina	56.4	17.5%	2.9×	62	+56.6%
11	Nanyang Technological UniversitySingapore	56.3	27.7%	2.4×	38	-6.1%
12	Southeast UniversityChina	56.2	16.6%	2.4×	71	+58.0%
13	University of Science and Technology of ChinaChina	54.8	19.4%	2.2×	51	+181.4%
14	Vellore Institute of Technology UniversityIndia	54.4	12.0%	4.6×	88	+77.8%
15	Tsinghua UniversityChina	54.2	14.0%	1.8×	82	+26.1%
16	Stanford UniversityUnited States	54.0	13.0%	1.9×	57	+15.3%
17	Zhejiang UniversityChina	53.4	11.0%	1.9×	103	+84.1%
18	University College LondonUnited Kingdom	53.1	12.4%	2.1×	67	-2.3%
19	South China Normal UniversityChina	52.8	14.8%	6.1×	42	+205.0%
20	Fudan UniversityChina	52.7	10.8%	2.7×	84	+79.4%
21	Lanzhou UniversityChina	52.7	24.6%	2.1×	29	+91.6%
22	Beijing Institute of TechnologyChina	52.6	16.3%	2.8×	65	+103.8%
23	Tianjin UniversityChina	52.2	11.4%	3.2×	77	+32.9%
24	SRM Institute of Science and TechnologyIndia	51.6	5.2%	5.6×	112	+285.8%
25	University of ZurichSwitzerland	51.6	13.0%	2.4×	33	+45.5%
26	Beihang UniversityChina	51.3	15.7%	2.5×	53	+96.0%
27	University of Electronic Science and Technology of ChinaChina	50.9	8.9%	3.2×	72	+40.9%
28	Johns Hopkins UniversityUnited States	50.1	9.5%	2.1×	63	+26.7%
29	Hong Kong Polytechnic UniversityChina	50.0	14.7%	1.8×	31	+133.9%
30	Saveetha UniversityIndia	49.9	9.6%	3.5×	66	+573.0%
31	New York UniversityUnited States	49.2	10.5%	2.1×	48	+37.1%
32	University of MacauChina	49.1	22.2%	2.5×	16	+35.9%
33	Emory UniversityUnited States	48.9	10.8%	3.3×	52	+112.5%
34	The University of MelbourneAustralia	48.7	10.9%	2.0×	45	+26.2%
35	Imperial College LondonUnited Kingdom	48.2	11.9%	2.4×	48	+0.8%
36	Shenzhen UniversityChina	48.0	14.3%	2.7×	39	+172.0%
37	Capital Medical UniversityChina	47.9	10.5%	3.1×	65	+59.2%
38	Beijing University of TechnologyChina	47.7	12.0%	4.0×	55	+150.4%
39	Yale UniversityUnited States	47.2	9.2%	1.8×	38	+42.3%
40	City University of Hong KongChina	47.2	15.0%	1.8×	20	+133.0%
41	Hefei University of TechnologyChina	46.6	22.2%	1.9×	20	+129.2%
42	University of TorontoCanada	45.9	9.9%	1.8×	72	-11.2%
43	Fujian Normal UniversityChina	43.1	22.2%	3.1×	13	+744.8%
44	University of Hong KongChina	42.9	12.9%	1.3×	24	+68.8%
45	VIT-AP University	42.9	17.2%	10.2×	14	+403.7%
46	National University of SingaporeSingapore	42.5	18.0%	1.2×	27	-7.8%
47	Qingdao UniversityChina	42.0	22.3%	1.4×	19	+388.2%
48	Karunya UniversityIndia	38.5	3.3%	12.9×	36	+75.9%
49	Chinese University of Hong KongChina	37.0	9.5%	1.3×	19	+38.9%
50	Immanuel Kant Baltic Federal UniversityRussia	36.7	12.3%	11.7×	16	+235.4%
51	Khalifa University of Science and TechnologyUnited Arab Emirates	35.9	6.5%	3.5×	16	+156.2%
52	Hong Kong University of Science and TechnologyChina	35.3	7.0%	2.1×	17	+57.1%
53	İzmir University of EconomicsTürkiye	34.8	8.1%	16.1×	15	+74.7%
54	Khulna University of Engineering and TechnologyBangladesh	30.3	5.9%	11.4×	21	+3.3%
55	Tianjin University of Technology and EducationChina	29.2	5.3%	12.6×	19	+74.8%
56	Chittagong University of Engineering & TechnologyBangladesh	27.7	3.5%	9.8×	15	+136.7%
57	St. Joseph's Institute of TechnologyIndia	26.9	1.3%	9.2×	16	+353.2%
58	Rajalakshmi Engineering College	26.5	5.6%	9.5×	14	+282.8%

Universities only. The score blends excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.

Every institution in EEG and Brain-Computer Interfaces, country by country

Is EEG and Brain-Computer Interfaces research growing?

Output in 2022-2025 was 30% higher than in 2018-2021, peaking in 2025. The fastest-growing topics are EEG and Brain-Computer Interfaces.

grewheldshrank

The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.

Its share of all research

Growing output can still be a shrinking share: all of science grows. This is EEG and Brain-Computer Interfaces as a percentage of every work published that year, 0.099% in 2024.

Fractional works of EEG and Brain-Computer Interfaces over all fractional works that year. How the balance of science has shifted.

How much of it reaches the world top 10%

Year by year.

Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.

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.

Discussion

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Which countries lead EEG and Brain-Computer Interfaces research?

By volume, 2022-now

How concentrated that is

Which institutions lead EEG and Brain-Computer Interfaces research?

By volume, 2022-now

Who are the leading researchers in EEG and Brain-Computer Interfaces?

What are the most cited papers in EEG and Brain-Computer Interfaces?

Where is EEG and Brain-Computer Interfaces research done?

Largest cities, 2022-now

Where is the best place to study EEG and Brain-Computer Interfaces?

Is EEG and Brain-Computer Interfaces research growing?

Its share of all research

How much of it reaches the world top 10%

Which topics inside it are moving

Related research

Discussion