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Race, Identity, and Education in Brazil

Race, Identity, and Education in Brazil is a research topic within Sociology and Political Science. Science Explorer counts 9k research works in it since 1950. 6.5% of them reached the world's top 10% most cited for their field and year.

This cluster of papers explores the intersection of racial discrimination, decolonial theory, and intersectionality in the context of Brazil. It delves into issues of social inequality, anti-racism, Afro-Brazilian studies, and the coloniality of power, while also examining feminist epistemologies, black feminism, and cultural identity.

  • Racial Discrimination
  • Decolonial Theory
  • Intersectionality
  • Afro-Brazilian Studies
  • Social Inequality
  • Anti-Racism
  • Coloniality of Power
  • Feminist Epistemologies
  • Black Feminism
  • Cultural Identity
Research works
9k
fractional, since 1950
In the world top 10%
584
per year above
Top-10% rate
6.5%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+138%
the tick is no change

Which countries lead Race, Identity, and Education in Brazil research?

By volume, Brazil and the United States publish the most (2.9k and 84 works in 2022–2025).

By volume, 2022–2025

  1. 1 Brazil 2.9k works
  2. 2 United States 84 works
  3. 3 Portugal 62 works
  4. 4 Spain 35 works
  5. 5 Mexico 22 works
  6. 6 ?? 21 works
  7. 7 France 20 works
  8. 8 Chile 14 works
  9. 9 Argentina 14 works
  10. 10 United Kingdom 14 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.

Brazil: 91.0%United States: 2.6%Portugal: 2.0%Spain: 1.1%6 others listed: 3.3%91%largest
Brazil2,888 · 91.0%United States84 · 2.6%Portugal62 · 2.0%Spain35 · 1.1%6 others listed106 · 3.3%

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

Which institutions lead Race, Identity, and Education in Brazil research?

By volume in 2022–2025, Universidade Federal do Rio de Janeiro publishes the most Race, Identity, and Education in Brazil research, followed by Universidade Federal do Rio Grande do Sul and Universidade de São Paulo.

Who are the leading researchers in Race, Identity, and Education in Brazil?

The most-cited researchers publishing on Race, Identity, and Education in Brazil include Ramón Grosfoguel and Peter Wade.

  1. 1 Ramón Grosfoguel United States 776 citations
  2. 2 Peter Wade United Kingdom 282 citations

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

Where is Race, Identity, and Education in Brazil research done?

The largest centres of Race, Identity, and Education in Brazil research in 2022–2025 are São Paulo (Brazil), Rio de Janeiro (Brazil), Salvador (Brazil) and Belo Horizonte (Brazil). Among places with at least 20 works in it, it is an unusually large share of all research in Salvador and Seropédica.

Largest cities, 2022–2025

  1. 1 São Paulo Brazil 339 works
  2. 2 Rio de Janeiro Brazil 330 works
  3. 3 Salvador Brazil 140 works
  4. 4 Belo Horizonte Brazil 116 works
  5. 5 Brasília Brazil 108 works
  6. 6 Porto Alegre Brazil 102 works
  7. 7 Florianópolis Brazil 88 works
  8. 8 Recife Brazil 85 works
  9. 9 Belém Brazil 79 works
  10. 10 Curitiba Brazil 67 works

Where it is the local speciality

  1. SalvadorBR · 140.0 works63×
  2. SeropédicaBR · 24.9 works59×
← less than its size predictsmore →

Location quotient: how much more of its research is in Race, Identity, and Education in Brazil than the world average.

See Race, Identity, and Education in Brazil on the map

Where is the best place to study Race, Identity, and Education in Brazil?

Among universities, judged by research, Universidade de Brasília, Universidade do Estado do Rio de Janeiro and Universidade Federal do Rio de Janeiro 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.

0%10%20%mean 8.04%fractional works in this node (log) →share in the world top 10% →Universidade de Brasília: 73, 6.9%Universidade do Estado do Rio de Janeiro: 80, 6.1%Universidade Federal do Rio de Janeiro: 103, 5.2%Universidade de São Paulo: 87, 7.8%Universidade Federal do Rio Grande: 11, 11.7%Universidade Federal de São Paulo: 22, 8.7%Universidade Federal de Pernambuco: 48, 5.4%Universidade Federal do Sul da Bahia: 13, 17.1%Universidade Estadual de Campinas (UNICAMP): 47, 4.8%Universidade Federal de Mato Grosso do Sul: 29, 6.7%Universidade de São …Universidade de Bras…Universidade do Esta…Universidade Federal…
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1 Universidade de BrasíliaBrazil 71.56.9%41.8×73 +174.3%
2 Universidade do Estado do Rio de JaneiroBrazil 71.06.1%56.2×80 +267.9%
3 Universidade Federal do Rio de JaneiroBrazil 69.45.2%43.6×103 +139.9%
4 Universidade de São PauloBrazil 68.67.8%16.1×87 +22.7%
5 Universidade Federal do Rio GrandeBrazil 68.311.7%24.2×11 +272.2%
6 Universidade Federal de São PauloBrazil 67.88.7%16.7×22 +315.4%
7 Universidade Federal de PernambucoBrazil 66.25.4%30.9×48 +314.0%
8 Universidade Federal do Sul da BahiaBrazil 65.717.1%120.4×13
9 Universidade Estadual de Campinas (UNICAMP)Brazil 65.44.8%20.0×47 +164.0%
10 Universidade Federal de Mato Grosso do SulBrazil 64.36.7%39.9×29 +563.2%

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 Race, Identity, and Education in Brazil research growing?

Output in 2018–2022 was 138% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Race, Identity, and Education in Brazil.

19801990200020102020
grewheldshrank

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.