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Neuroscience, Education and Cognitive Function

Neuroscience, Education and Cognitive Function is a research topic within Cognitive Neuroscience. Science Explorer counts 20k research works in it since 1950. 10.0% of them reached the world's top 10% most cited for their field and year.

This cluster of papers explores the intersection of neuroscience and education, focusing on bridging research findings with educational practice. It addresses topics such as neuromyths among teachers, brain-based learning approaches, the impact of emotions on learning, and the potential for interdisciplinary collaboration to inform educational reform.

  • Neuroscience
  • Education
  • Neuromyths
  • Cognitive Neuroscience
  • Brain-Based Learning
  • Teacher Training
  • Emotions
  • Learning Styles
  • Educational Reform
  • Interdisciplinary Collaboration
Research works
20k
fractional, since 1950
In the world top 10%
2k
per year above
Top-10% rate
10.0%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+26%
the tick is no change

Which countries lead Neuroscience, Education and Cognitive Function research?

By volume, the United States and the United Kingdom publish the most (891 and 220 works in 2022–2025).

By volume, 2022–2025

  1. 1 United States 891 works
  2. 2 United Kingdom 220 works
  3. 3 Indonesia 197 works
  4. 4 China 194 works
  5. 5 India 178 works
  6. 6 Spain 176 works
  7. 7 Brazil 175 works
  8. 8 Canada 107 works
  9. 9 Mexico 98 works
  10. 10 Australia 96 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.

United States: 38.2%United Kingdom: 9.4%Indonesia: 8.5%China: 8.3%6 others listed: 35.6%38%largest
United States891 · 38.2%United Kingdom220 · 9.4%Indonesia197 · 8.5%China194 · 8.3%6 others listed829 · 35.6%

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

Which institutions lead Neuroscience, Education and Cognitive Function research?

By volume in 2022–2025, The University of Sydney publishes the most Neuroscience, Education and Cognitive Function research, followed by Ação Educativa and University of Patras.

Who are the leading researchers in Neuroscience, Education and Cognitive Function?

The most-cited researchers publishing on Neuroscience, Education and Cognitive Function include Richard E. Mayer, Robert J. Sternberg and Howard Gardner.

  1. 1 Richard E. Mayer United States 4.7k citations
  2. 2 Robert J. Sternberg United States 4.4k citations
  3. 3 Howard Gardner United States 3.7k citations
  4. 4 John T. Cacioppo United States 3.7k citations
  5. 5 Trevor W. Robbins United Kingdom 3.1k citations

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

Where is Neuroscience, Education and Cognitive Function research done?

The largest centres of Neuroscience, Education and Cognitive Function research in 2022–2025 are São Paulo (Brazil), Beijing (China), London (United Kingdom) and New York (United States). Among places with at least 20 works in it, it is an unusually large share of all research in Guayaquil.

Largest cities, 2022–2025

  1. 1 São Paulo Brazil 51 works
  2. 2 Beijing China 51 works
  3. 3 London United Kingdom 50 works
  4. 4 New York United States 48 works
  5. 5 Paris France 35 works
  6. 6 Madrid Spain 29 works
  7. 7 Mexico City Mexico 29 works
  8. 8 Moscow Russia 28 works
  9. 9 Tehran Iran 26 works
  10. 10 Santiago Chile 24 works

Where it is the local speciality

  1. GuayaquilEC · 22.8 works12×
← less than its size predictsmore →

Location quotient: how much more of its research is in Neuroscience, Education and Cognitive Function than the world average.

See Neuroscience, Education and Cognitive Function on the map

Where is the best place to study Neuroscience, Education and Cognitive Function?

Among universities, judged by research, University of Patras, Universidad Estatal de Milagro and The University of Sydney 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%20%40%mean 14.43%fractional works in this node (log) →share in the world top 10% →University of Patras: 14, 42.6%Universidad Estatal de Milagro: 13, 8.4%The University of Sydney: 17, 3.1%Tecnológico de Monterrey: 9, 9.4%University of Connecticut: 9, 10.1%University College London: 11, 28.4%Universidad César Vallejo: 9, 11.5%Universidad Metropolitana de Educación, Ciencia y Tecnología: 9, 3.7%The Open University: 9, 4.8%Beijing Normal University: 11, 22.3%University of PatrasTecnológico de Monte…Universidad Estatal …The University of Sy…
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 University of PatrasGreece 80.442.6%14.7×14
2 Universidad Estatal de MilagroEcuador 51.58.4%28.9×13
3 The University of SydneyAustralia 42.33.1%4.4×17 +24.2%
4 Tecnológico de MonterreyMexico 41.59.4%8.4×9
5 University of ConnecticutUnited States 41.510.1%6.1×9 +334.1%
6 University College LondonUnited Kingdom 41.228.4%2.0×11 -8.2%
7 Universidad César VallejoPeru 38.411.5%8.4×9
8 Universidad Metropolitana de Educación, Ciencia y TecnologíaPanama 36.93.7%38.5×9
9 The Open UniversityUnited Kingdom 36.54.8%16.1×9 -84.9%
10 Beijing Normal UniversityChina 36.322.3%4.2×11 -63.7%

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 Neuroscience, Education and Cognitive Function research growing?

Output in 2018–2022 was 26% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Neuroscience, Education and Cognitive Function.

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.