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Education, Achievement, and Giftedness

Education, Achievement, and Giftedness is a research topic within Experimental and Cognitive Psychology. Science Explorer counts 15k research works in it since 1950. 30.1% of them reached the world's top 10% most cited for their field and year.

This cluster of papers explores the psychology of achievement motivation and learning, focusing on topics such as self-efficacy, goal orientation, academic emotions, gender differences, interest development, math anxiety, teacher expectations, student engagement, and motivational interventions in educational contexts.

  • Achievement Motivation
  • Self-Efficacy
  • Goal Orientation
  • Academic Emotions
  • Gender Differences
  • Interest Development
  • Math Anxiety
  • Teacher Expectations
  • Student Engagement
  • Motivational Interventions
Research works
15k
fractional, since 1950
In the world top 10%
4.6k
per year above
Top-10% rate
30.1%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+34%
the tick is no change

Which countries lead Education, Achievement, and Giftedness research?

By volume, the United States and China publish the most (723 and 350 works in 2022–2025).

By volume, 2022–2025

  1. 1 United States 723 works
  2. 2 China 350 works
  3. 3 Germany 220 works
  4. 4 Türkiye 166 works
  5. 5 United Kingdom 98 works
  6. 6 Indonesia 97 works
  7. 7 Spain 92 works
  8. 8 Australia 78 works
  9. 9 Canada 71 works
  10. 10 India 66 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: 36.9%China: 17.9%Germany: 11.2%Türkiye: 8.5%6 others listed: 25.6%37%largest
United States723 · 36.9%China350 · 17.9%Germany220 · 11.2%Türkiye166 · 8.5%6 others listed502 · 25.6%

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

Which institutions lead Education, Achievement, and Giftedness research?

By volume in 2022–2025, Beijing Normal University publishes the most Education, Achievement, and Giftedness research, followed by Education University of Hong Kong and University of Hong Kong.

Who are the leading researchers in Education, Achievement, and Giftedness?

The most-cited researchers publishing on Education, Achievement, and Giftedness include Albert Bandura, Richard M. Ryan and Edward L. Deci.

  1. 1 Albert Bandura United States 14k citations
  2. 2 Richard M. Ryan United States 10k citations
  3. 3 Edward L. Deci United States 7.3k citations
  4. 4 Herbert W. Marsh Australia 4.6k citations
  5. 5 Robert J. Sternberg United States 4.4k citations
  6. 6 Jacquelynne S. Eccles United States 3.6k citations
  7. 7 Adrian Furnham United Kingdom 3k citations
  8. 8 Bernard Weiner United States 2.9k citations

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

Where is Education, Achievement, and Giftedness research done?

The largest centres of Education, Achievement, and Giftedness research in 2022–2025 are Beijing (China), Shanghai (China), Ankara (Türkiye) and London (United Kingdom). Among places with at least 20 works in it, it is an unusually large share of all research in Tai Po.

Largest cities, 2022–2025

  1. 1 Beijing China 81 works
  2. 2 Shanghai China 36 works
  3. 3 Ankara Türkiye 33 works
  4. 4 London United Kingdom 23 works
  5. 5 Seoul South Korea 23 works
  6. 6 Sydney Australia 22 works
  7. 7 Hong Kong China 22 works
  8. 8 New York United States 20 works
  9. 9 Tai Po China 20 works
  10. 10 Guangzhou China 20 works

Where it is the local speciality

  1. Tai PoCN · 20.3 works42×
← less than its size predictsmore →

Location quotient: how much more of its research is in Education, Achievement, and Giftedness than the world average.

See Education, Achievement, and Giftedness on the map

Where is the best place to study Education, Achievement, and Giftedness?

Among universities, judged by research, Education University of Hong Kong, Beijing Normal University and East China Normal 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.

0%25%50%75%mean 45.24%fractional works in this node (log) →share in the world top 10% →Education University of Hong Kong: 20, 53.9%Beijing Normal University: 33, 43.6%East China Normal University: 16, 36.5%TU Dortmund University: 9, 38.0%Chinese University of Hong Kong: 12, 64.1%University of Hong Kong: 18, 49.5%University of Pittsburgh: 11, 58.1%University of Szeged: 10, 33.0%UNSW Sydney: 12, 35.4%University of Auckland: 9, 40.3%Education University…Beijing Normal Unive…TU Dortmund UniversityEast China Normal Un…
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 Education University of Hong KongHong Kong 72.453.9%42.9×20 +10.4%
2 Beijing Normal UniversityChina 70.443.6%15.2×33 +5.4%
3 East China Normal UniversityChina 68.236.5%10.6×16 +417.3%
4 TU Dortmund UniversityGermany 60.238.0%11.0×9 +357.0%
5 Chinese University of Hong KongHong Kong 56.664.1%5.6×12 +4.2%
6 University of Hong KongHong Kong 56.449.5%6.5×18 -29.4%
7 University of PittsburghUnited States 51.558.1%4.6×11 +171.0%
8 University of SzegedHungary 51.333.0%12.4×10 +72.9%
9 UNSW SydneyAustralia 44.335.4%4.7×12 +157.3%
10 University of AucklandNew Zealand 44.040.3%5.7×9 +125.2%

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 Education, Achievement, and Giftedness research growing?

Output in 2018–2022 was 34% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Education, Achievement, and Giftedness.

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.