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Scientometrics Centre
Scientometrics Centre
BRICS · leading ML/AI conferences · 2020–2025 ?

BRICS and AI: the scale of countries, organisations and partnerships across leading AI conferences

A comparative special project on five BRICS countries, organisations, sectors and academic–corporate links across leading AI conferences (ACL, CVPR, ECCV, EMNLP, ICCV, ICLR, ICML, IJCAI, KDD and NeurIPS)

Key statistics

Publications

  1. 1Flag: ChinaChina38 055
  2. 2Flag: IndiaIndia2 113
  3. 3Flag: RussiaRussia594
  4. 4Flag: BrazilBrazil216
  5. 5Flag: South AfricaSouth Africa74

Fractional score

  1. 1Flag: ChinaChina29 820.3
  2. 2Flag: IndiaIndia1 366.7
  3. 3Flag: RussiaRussia422.0
  4. 4Flag: BrazilBrazil105.9
  5. 5Flag: South AfricaSouth Africa29.1

Citations

  1. 1Flag: ChinaChina1 364 086
  2. 2Flag: IndiaIndia42 371
  3. 3Flag: RussiaRussia12 764
  4. 4Flag: BrazilBrazil4 686
  5. 5Flag: South AfricaSouth Africa2 325

Average FWCI

  1. 1Flag: ChinaChina4.47
  2. 2Flag: South AfricaSouth Africa3.17
  3. 3Flag: RussiaRussia2.89
  4. 4Flag: BrazilBrazil2.72
  5. 5Flag: IndiaIndia2.58

Share of the global corpus

  1. 1Flag: ChinaChina36.46%
  2. 2Flag: IndiaIndia2.02%
  3. 3Flag: RussiaRussia0.57%
  4. 4Flag: BrazilBrazil0.21%
  5. 5Flag: South AfricaSouth Africa0.07%

Study coverage

publications104k+
conferences10
countries5
period2020–2025

BRICS in the global ML/AI research landscape

For each country, one leading organisation is shown in the academic, corporate and government/non-profit sectors. Countries are ordered by total publication output.

  Country Academic sector Corporate sector Government and non-profit sector
#1
Flag: ChinaChina
Tsinghua University
Tencent/Alibaba Group
Shanghai AI Laboratory
#2
Flag: IndiaIndia
Indian Institute of Technology Bombay (IIT Bombay)
TCS Research
Indian Statistical Institute
#3
Flag: RussiaRussia
HSE University/Skolkovo Institute of Science and Technology (Skoltech)
Yandex
Artificial Intelligence Research Institute (AIRI)
#4
Flag: BrazilBrazil
University of São Paulo
YaiYai Ltd.
Instituto SENAI de Inovação em Sistemas Embarcados
#5
Flag: South AfricaSouth Africa
University of Cape Town/University of the Witwatersrand
Lelapa AI
Masakhane
How to explore the project

Choose a format

Contents12 sections

Three conference families: scale, vision, language and data

The analysis covers 10 leading AI conferences (A* rank in ICORE 2026) across three distinct areas.

Core machine learning

NeurIPS, ICML, ICLR

The most selective layer of methodological research; for Russia, the main programme and stable research teams are particularly important here.

Computer vision

CVPR, ICCV, ECCV

Large venues with high citation impact and a prominent role for Chinese organisations; Russia’s contribution is more concentrated in selected areas.

Language, data and the broader AI agenda

ACL, EMNLP, KDD, IJCAI

Venues where NLP, data analysis, applied AI systems and academic–corporate partnerships are especially visible.

BRICS is first and foremost China — but not China alone

China sets the scale: it ranks first among BRICS countries in publications, fractional score, citations and average Field-Weighted Citation Impact (FWCI). The other countries form more compact research landscapes, notable less for volume than for specialisation, the quality of individual publications and organisational links.

#1

China

38 055

the BRICS centre of scale: the clear leader in publications, fractional score, citations and FWCI

Publications 38 055FS 29 820.3
FWCI 4.47World share 36.46%
#2

India

2 113

the second-largest landscape by volume, but with a lower average FWCI than China and Russia

Publications 2 113FS 1 366.7
FWCI 2.58World share 2.02%
#3

Russia

594

the third-largest landscape by volume, with dense links between universities, research institutes and companies

Publications 594FS 422.0
FWCI 2.89World share 0.57%
#4

Brazil

216

a smaller but stable landscape with several notable individual players

Publications 216FS 105.9
FWCI 2.72World share 0.21%
#5

South Africa

74

the smallest landscape by volume, but with high average FWCI in several slices

Publications 74FS 29.1
FWCI 3.17World share 0.07%

BRICS trends: how contributions changed over time

The chart shows how publication output, fractional score and average FWCI changed across BRICS countries from 2020 to 2025.

03 1256 2509 37512 500202020212022202320242025 015304560202020212022202320242025 32 24 29 30 51 50 03875112150202020212022202320242025 70 96 90 86 121 131 0150300450600202020212022202320242025 259 250 292 394 406 512 03 1256 2509 37512 500202020212022202320242025 2 942 3 831 4 888 6 570 8 578 11 246 06121925202020212022202320242025 6 5 12 17 12 22 02 5005 0007 50010 000202020212022202320242025 010203040202020212022202320242025 18 12 17 16 33 38 0255075100202020212022202320242025 57 68 65 61 85 91 0100200300400202020212022202320242025 157 156 186 216 233 287 02 5005 0007 50010 000202020212022202320242025 2 567 3 205 4 138 5 465 7 314 9 494 05101520202020212022202320242025 5 1 8 9 9 18
02 5005 0007 50010 000202020212022202320242025 07.51522.530202020212022202320242025 19.6 13.6 14.5 13.2 19.7 25.3 031.262.593.8125202020212022202320242025 54.7 61.6 61.4 62.0 86.1 96.2 0100200300400202020212022202320242025 174.4 155.7 185.5 262.2 266.5 322.5 02 5005 0007 50010 000202020212022202320242025 2 199.9 2 937.9 3 806.9 5 148.3 6 759.5 8 966.8 02.557.510202020212022202320242025 3.4 2.0 5.5 7.7 3.6 6.9 02 0004 0006 0008 000202020212022202320242025 05101520202020212022202320242025 9.4 4.7 6.3 6.0 13.1 17.7 020406080202020212022202320242025 44.3 44.0 42.8 41.8 59.6 63.4 050100150200202020212022202320242025 100.5 87.5 116.8 135.4 135.9 160.0 02 0004 0006 0008 000202020212022202320242025 1 906.2 2 445.6 3 211.9 4 237.7 5 750.6 7 541.6 01.534.56202020212022202320242025 3.1 0.4 3.4 3.5 3.1 5.2
03.87.511.215202020212022202320242025 01.22.53.85202020212022202320242025 2.93 4.56 4.48 1.79 2.50 1.29 01234202020212022202320242025 3.29 3.39 3.61 3.43 1.82 2.34 01.22.53.85202020212022202320242025 3.83 2.05 3.65 2.32 2.63 1.69 02468202020212022202320242025 6.41 5.00 5.85 4.17 5.19 2.46 03.87.511.215202020212022202320242025 14.09 2.16 2.64 2.00 2.00 1.61 05101520202020212022202320242025 01.534.56202020212022202320242025 3.92 5.13 5.47 2.16 2.53 1.56 01.22.53.85202020212022202320242025 3.68 3.86 3.80 4.28 1.75 2.04 01.22.53.85202020212022202320242025 4.11 2.34 3.72 2.90 2.76 1.38 02468202020212022202320242025 6.75 5.50 6.00 4.60 5.32 2.69 05101520202020212022202320242025 14.92 7.20 2.78 2.78 2.34 1.81

Indicators are aggregated at the year × BRICS country level; FWCI is weighted by the number of publications in the underlying slices.

BRICS presence: a conference-level view

The map shows each country’s conference profile in two modes: all tracks and the main programme only. This makes it possible to compare overall participation with the most selective layer of publications.

40 868 BRICS publications39.2% Share of global output3.66 Average BRICS FWCI1,420,490 BRICS citations

Brazil

216all tracks
NeurIPS4922.7% of country total · FWCI 3.13
CVPR4119.0% of country total · FWCI 4.20
ICML3415.7% of country total · FWCI 2.66
IJCAI219.7% of country total · FWCI 0.42
EMNLP188.3% of country total · FWCI 0.94

Russia

594all tracks
NeurIPS15125.4% of country total · FWCI 3.03
ICML8414.1% of country total · FWCI 3.04
ICLR7412.5% of country total · FWCI 3.57
EMNLP6811.4% of country total · FWCI 1.94
ACL549.1% of country total · FWCI 2.09

India

2,113all tracks
CVPR38718.3% of country total · FWCI 4.43
EMNLP38518.2% of country total · FWCI 1.68
ACL30614.5% of country total · FWCI 1.76
NeurIPS24711.7% of country total · FWCI 2.69
ICLR1557.3% of country total · FWCI 3.32

China

38,055all tracks
CVPR6,67417.5% of country total · FWCI 6.85
NeurIPS6,49117.1% of country total · FWCI 6.10
ACL4,40611.6% of country total · FWCI 2.61
EMNLP4,16210.9% of country total · FWCI 2.16
ICCV3,0358.0% of country total · FWCI 3.36

South Africa

74all tracks
NeurIPS1723.0% of country total · FWCI 3.12
ACL1317.6% of country total · FWCI 2.17
ICLR1216.2% of country total · FWCI 6.91
EMNLP1216.2% of country total · FWCI 3.48
IJCAI1216.2% of country total · FWCI 1.22

Leading international partners of BRICS countries

The international collaboration landscape shows which countries BRICS organisations work with most closely. For the largest players, the United States, the United Kingdom and European countries are particularly important; for China, Hong Kong and Macao also stand out as special administrative regions recorded separately in bibliographic databases.

Brazil#1 · United States
 
721 937 citations · FWCI 4.24
Brazil#2 · United Kingdom
 
41787 citations · FWCI 2.10
Brazil#3 · Finland
 
22284 citations · FWCI 2.20
Russia#1 · United States
 
1322 408 citations · FWCI 3.29
Russia#2 · Germany
 
70898 citations · FWCI 3.65
Russia#3 · France
 
55654 citations · FWCI 2.41
India#1 · United States
 
82122 184 citations · FWCI 3.48
India#2 · Germany
 
1193 886 citations · FWCI 6.81
India#3 · China
 
1033 442 citations · FWCI 7.55
China#1 · United States
 
7 771299 722 citations · FWCI 5.02
China#2 · Hong Kong
 
4 713182 229 citations · FWCI 5.78
China#3 · Singapore
 
3 027103 184 citations · FWCI 4.99
South Africa#1 · United States
 
311 923 citations · FWCI 5.34
South Africa#2 · United Kingdom
 
25454 citations · FWCI 2.64
South Africa#3 · Germany
 
20459 citations · FWCI 3.52

How academic and corporate sectors overlap within BRICS countries

Brazil
 
 
 
 
 
 
 
 
100%
Russia
 
 
 
 
 
 
 
 
100%
India
 
 
 
 
 
 
 
 
100%
China
 
 
 
 
 
 
 
 
100%
South Africa
 
 
 
 
 
 
 
 
100%
Brazil
 
 
 
 
 
 
 
 
100%
Russia
 
 
 
 
 
 
 
 
100%
India
 
 
 
 
 
 
 
 
100%
China
 
 
 
 
 
 
 
 
100%
South Africa
 
 
 
 
 
 
 
 
100%

Each publication is counted in only one interaction type. “Only” means that no organisations from other sectors are present in the publication; combinations involving non-profits are shown separately.

Companies in the publication landscape: share of publications with corporate participation

The map shows the share of publications that include companies. All tracks are included by default; a separate switch restricts the view to the main programme.

 
BrazilRussiaIndiaChinaSouth AfricaACL0.0%0 pubs.33.3%18 pubs.24.5%75 pubs.45.1%1 986 pubs.30.8%4 pubs.CVPR4.9%2 pubs.49.0%25 pubs.18.1%70 pubs.43.5%2 903 pubs.0.0%0 pubs.ECCV10.0%1 pub.50.0%16 pubs.20.5%30 pubs.46.9%1 273 pubs.0.0%0 pubs.EMNLP5.6%1 pub.64.7%44 pubs.21.8%84 pubs.42.8%1 783 pubs.33.3%4 pubs.ICCV0.0%0 pubs.29.2%7 pubs.18.5%28 pubs.41.1%1 246 pubs.50.0%1 pub.ICLR88.9%8 pubs.36.5%27 pubs.16.8%26 pubs.38.2%1 119 pubs.16.7%2 pubs.ICML20.6%7 pubs.41.7%35 pubs.20.9%29 pubs.29.0%852 pubs.0.0%0 pubs.IJCAI0.0%0 pubs.18.2%8 pubs.14.7%17 pubs.25.4%758 pubs.0.0%0 pubs.KDD28.6%2 pubs.75.0%9 pubs.34.6%28 pubs.48.9%843 pubs.0.0%0 pubs.NeurIPS26.5%13 pubs.39.7%60 pubs.14.6%36 pubs.33.8%2 191 pubs.11.8%2 pubs.

Russia’s organisational landscape is centred on HSE University, Skoltech, AIRI, MIPT and Yandex

The ranking of Russian organisations shows not only academic concentration but also a company among the top five. The corporate sector is smaller than the academic sector by volume, but has a higher average FWCI.

Russia’s corporate landscape is heterogeneous: volume, impact and partnerships are distributed across different companies

Yandex has the largest Russian corporate publication output. Sber ranks second and stands out for the breadth of its academic partnerships. In 2020–2022, Samsung AI Center — Moscow and Huawei Moscow Research Center were notable players with a small number of high-impact publications, while T-Bank/T-Technologies and MTS are newer visible players.

Russia does not match China in scale, but retains a stable third-largest research landscape within BRICS

Russia’s contribution is small relative to the global corpus but well structured, combining strong universities, specialised research institutes and technology companies. Within BRICS, Russia therefore acts less as a mass producer and more as a networked research player.

Russia: a compact ecosystem rather than a mass publication flow

Russia’s publications594

427 in the main programme

Russia’s citations12 764

average FWCI 2.89

Russia’s academic sector548

FWCI 2.83

Russia’s corporate sector249

several technology hubs rather than a single brand

Russia’s results rely on interaction among universities, research institutes, public research centres and companies. The sector structure shows coverage in publications, fractional score and citations. For citations, each publication is counted once within each sector; if a paper belongs to several sectors, its citations are included in each of them. The sum of sector shares can therefore exceed 100%, while no individual sector can exceed 100%.

Russia’s sector structure across three metrics

Publications
Academic sector
 
92.3%548 / 594
Corporate sector
 
41.9%249 / 594
Government and non-profit sector
 
27.9%166 / 594
Other
 
1.3%8 / 594
FS
Academic sector
 
62.5%263.5 / 422.0
Corporate sector
 
26.9%113.6 / 422.0
Government and non-profit sector
 
10.1%42.7 / 422.0
Other
 
0.5%2.1 / 422.0
Citations
Academic sector
 
89.9%11 469 / 12 764
Corporate sector
 
64.4%8 216 / 12 764
Government and non-profit sector
 
14.2%1 810 / 12 764
Other
 
0.4%49 / 12 764

Russian publications that stand out on key indicators

Below are several publications that stand out within the Russian corpus by citation count, FWCI, academic–corporate participation and citation impact among main-programme papers.

Notable academic–corporate publication

Hyperbolic Image Embeddings

Citations: 322

CVPR · 2020 · Main programme

Citations 322 · FWCI 11.50 · FS 1.0Institute of Numerical Mathematics of the Russian Academy of Sciences · Samsung AI Center — Moscow · Skolkovo Institute of Science and Technology · Yandex

Topic map: sector and organisational patterns

The topic cloud shows where the Russian corpus gravitates towards general machine-learning problems and where individual sectors and organisations concentrate on applied, infrastructural or methodological areas.

Russia’s academic landscape: the university core

Only academic organisations are shown here; AIRI and other non-profits are not grouped with the university core. BRICS ranking positions are shown where they are available in the underlying data.

HSE University

Academic sector · #1 in Russia

229FS 65.9 · citations 6 052 · FWCI 3.56

Skolkovo Institute of Science and Technology

Academic sector · #2 in Russia

214FS 84.1 · citations 4 624 · FWCI 2.38

MIPT

Academic sector · #3 in Russia

152FS 32.8 · citations 3 341 · FWCI 2.74

Ivannikov Institute for System Programming of the Russian Academy of Sciences

Academic sector · #4 in Russia

54FS 7.9 · citations 357 · FWCI 1.40

Innopolis University

Academic sector · #5 in Russia

50FS 15.0 · citations 154 · FWCI 1.55

Lomonosov Moscow State University

Academic sector · #6 in Russia

39FS 12.1 · citations 549 · FWCI 2.85

Steklov Mathematical Institute of the Russian Academy of Sciences

Academic sector · #7 in Russia

29FS 5.4 · citations 469 · FWCI 2.76

ITMO University

Academic sector · #8 in Russia

29FS 10.4 · citations 192 · FWCI 3.55

Kharkevich Institute for Information Transmission Problems of the Russian Academy of Sciences

Academic sector · #9 in Russia

22FS 2.7 · citations 353 · FWCI 3.26

Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences

Academic sector · #10 in Russia

15FS 5.4 · citations 146 · FWCI 4.26

NUST MISIS

Academic sector · #11–12 in Russia

8FS 1.3 · citations 125 · FWCI 3.05

Saint Petersburg State University

Academic sector · #11–12 in Russia

8FS 2.3 · citations 230 · FWCI 2.27

Academic leaders by key indicators

The chart shows 12 leading academic organisations out of 49 identified in the current registry.

1HSE University
 
229
2Skolkovo Institute of Science and Technology
 
214
3MIPT
 
152
4Ivannikov Institute for System Programming of the Russian Academy of Sciences
 
54
5Innopolis University
 
50
6Lomonosov Moscow State University
 
39
7Steklov Mathematical Institute of the Russian Academy of Sciences
 
30
8ITMO University
 
29
9Kharkevich Institute for Information Transmission Problems of the Russian Academy of Sciences
 
22
10Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences
 
15
11NUST MISIS
 
8
12Saint Petersburg State University
 
8
1Skolkovo Institute of Science and Technology
 
84.1
2HSE University
 
65.9
3MIPT
 
32.8
4Innopolis University
 
15.0
5Lomonosov Moscow State University
 
12.1
6ITMO University
 
10.4
7Ivannikov Institute for System Programming of the Russian Academy of Sciences
 
7.9
8Steklov Mathematical Institute of the Russian Academy of Sciences
 
5.5
9Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences
 
5.4
10Kharkevich Institute for Information Transmission Problems of the Russian Academy of Sciences
 
2.7
11Saint Petersburg State University
 
2.3
12NUST MISIS
 
1.3
1HSE University
 
6 052
2Skolkovo Institute of Science and Technology
 
4 624
3MIPT
 
3 341
4Lomonosov Moscow State University
 
549
5Steklov Mathematical Institute of the Russian Academy of Sciences
 
448
6Ivannikov Institute for System Programming of the Russian Academy of Sciences
 
357
7Kharkevich Institute for Information Transmission Problems of the Russian Academy of Sciences
 
353
8Saint Petersburg State University
 
230
9ITMO University
 
192
10Innopolis University
 
154
11Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences
 
146
12NUST MISIS
 
125
1Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences
 
4.26
2HSE University
 
3.56
3ITMO University
 
3.55
4Kharkevich Institute for Information Transmission Problems of the Russian Academy of Sciences
 
3.26
5NUST MISIS
 
3.05
6Lomonosov Moscow State University
 
2.85
7MIPT
 
2.74
8Skolkovo Institute of Science and Technology
 
2.38
9Saint Petersburg State University
 
2.27
10Steklov Mathematical Institute of the Russian Academy of Sciences
 
2.25
11Innopolis University
 
1.55
12Ivannikov Institute for System Programming of the Russian Academy of Sciences
 
1.40

Russia’s corporate landscape: technology hubs and position within BRICS

The corporate layer consists of companies with different balances of publication volume, citation impact and academic partnerships.

Yandex

#17 among BRICS companies by publications (#14 by fractional score)

120FS 50.2 · citations 4 926 · FWCI 4.67 · academic partners 41

Sber

#29 among BRICS companies by publications (#29 by fractional score)

64FS 23.0 · citations 583 · FWCI 2.50 · academic partners 57

Samsung AI Center — Moscow

#63 among BRICS companies by publications (#40 by fractional score)

22FS 14.0 · citations 2 011 · FWCI 5.57 · academic partners 6

T-Bank / T-Technologies

#82 among BRICS companies by publications (#46 by fractional score)

16FS 11.3 · citations 109 · FWCI 1.69 · academic partners 6

Huawei Moscow Research Center

#108 among BRICS companies by publications (#143 by fractional score)

11FS 2.8 · citations 404 · FWCI 6.26 · academic partners 39

MTS

#145 among BRICS companies by publications (#191 by fractional score)

8FS 1.9 · citations 163 · FWCI 4.48 · academic partners 7

Russian companies by key indicators

Top 6 companies are shown from the 25 identified in the current registry.

1Yandex
 
120
2Sber
 
64
3Samsung AI Center — Moscow
 
22
4T-Bank / T-Technologies
 
16
5Huawei Moscow Research Center
 
11
6MTS
 
8
1Yandex
 
50.2
2Sber
 
23.0
3Samsung AI Center — Moscow
 
14.0
4T-Bank / T-Technologies
 
11.3
5Huawei Moscow Research Center
 
2.8
6MTS
 
1.9
1Yandex
 
4 926
2Samsung AI Center — Moscow
 
2 011
3Sber
 
583
4Huawei Moscow Research Center
 
404
5MTS
 
163
6T-Bank / T-Technologies
 
109
1OSAI
 
7.11
2ABBYY
 
6.31
3Huawei Moscow Research Center
 
6.26
4Samsung AI Center — Moscow
 
5.57
5Yandex
 
4.67
6MTS
 
4.48

Academic–corporate partnerships: link width reflects the number of publications

The network shows stable links between universities, research institutes and companies. Line width reflects the number of co-authored publications, while the cards below highlight pairs with the largest numbers of publications and citations. Numbers next to nodes show each organisation’s unique publications in the Russian corpus and are not summed across partnership links.

Academic–corporate partnership network

Line thickness corresponds to the number of joint publications. Companies are shown on the left, academic institutions on the right.CompaniesAcademic institutions 73 42 42 31 24 15 6 6 Yandex · 120 Sber · 64 Samsung Moscow · 22 Huawei Moscow RC · 11 T-Bank · 16 MTS · 8 HSE · 229 Skoltech · 214 MIPT · 152 ITMO · 29 IITP RAS · 22 ISP RAS · 54 Innopolis · 50 MSU · 39
Partnerships by conference scope
NeurIPS
×

HSE University × Yandex

31 publications

1,527 citations · FWCI 4.78

NeurIPS
×

Moscow Institute of Physics and Technology × Yandex

19 publications

1,264 citations · FWCI 4.04

EMNLP
×

HSE University × Sber

16 publications

213 citations · FWCI 2.37

ICML
×

HSE University × Yandex

14 publications

838 citations · FWCI 7.73

ICML
×

Moscow Institute of Physics and Technology × Yandex

10 publications

160 citations · FWCI 1.19

EMNLP
×

Skolkovo Institute of Science and Technology × Sber

9 publications

77 citations · FWCI 1.90

EMNLP
×

Moscow Institute of Physics and Technology × Sber

8 publications

93 citations · FWCI 2.04

CVPR
×

Skolkovo Institute of Science and Technology × Samsung AI Center – Moscow

7 publications

727 citations · FWCI 4.10

All available metadata for the listed conferences in Scopus were analysed as of 09 September 2026. The total volume of analysed data exceeds 104 thousand publications (around 97.3% of all materials according to the conference proceedings). The analysis uses the main profiles assigned to organisations in Scopus and the results of additional labelling. As metadata are refined (in databases and through manual verification), the data may be refined in subsequent versions of the materials.