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Topic · Cognitive Neuroscience

Memory Processes and Influences

Memory Processes and Influences is a research topic within Cognitive Neuroscience. Science Explorer counts 16k research works in it since 1950. 19.9% of them reached the world's top 10% most cited for their field and year.

This cluster of papers explores the neural mechanisms underlying memory retrieval, including the roles of recollection and familiarity, metacognitive processes, emotional memory, and the testing effect. It also delves into the phenomena of forgetting and false memories.

  • Memory Retrieval
  • Episodic Memory
  • Recollection
  • Familiarity
  • Metacognition
  • Emotional Memory
  • Testing Effect
  • Neural Correlates
  • Forgetting
  • False Memory
Research works
16k
fractional, since 1950
In the world top 10%
3.1k
per year above
Top-10% rate
19.9%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
-3%
the tick is no change

Which countries lead Memory Processes and Influences research?

By volume, the United States and the United Kingdom publish the most (635 and 176 works in 2022–2025).

By volume, 2022–2025

  1. 1 United States 635 works
  2. 2 United Kingdom 176 works
  3. 3 Germany 135 works
  4. 4 China 128 works
  5. 5 Canada 123 works
  6. 6 Japan 70 works
  7. 7 France 64 works
  8. 8 Australia 59 works
  9. 9 Netherlands 49 works
  10. 10 Italy 47 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: 42.8%United Kingdom: 11.8%Germany: 9.1%China: 8.6%6 others listed: 27.7%43%largest
United States635 · 42.8%United Kingdom176 · 11.8%Germany135 · 9.1%China128 · 8.6%6 others listed412 · 27.7%

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

Which institutions lead Memory Processes and Influences research?

By volume in 2022–2025, University of California, Los Angeles publishes the most Memory Processes and Influences research, followed by University of Toronto and Maastricht University.

By volume, 2022–2025

  1. 1 University of California, Los AngelesUnited States 14 works
  2. 2 University of TorontoCanada 14 works
  3. 3 Maastricht UniversityNetherlands 13 works
  4. 4 University of LiègeBelgium 12 works
  5. 5 University of ChicagoUnited States 12 works
  6. 6 University of California, DavisUnited States 11 works
  7. 7 Harvard UniversityUnited States 11 works
  8. 8 University of California San DiegoUnited States 11 works
  9. 9 University College LondonUnited Kingdom 11 works
  10. 10 University of PortsmouthUnited Kingdom 10 works

Who are the leading researchers in Memory Processes and Influences?

The most-cited researchers publishing on Memory Processes and Influences include Alan Baddeley, Walter Kintsch and Jerome A. Yesavage.

  1. 1 Alan Baddeley United Kingdom 2.9k citations
  2. 2 Walter Kintsch United States 2.6k citations
  3. 3 Jerome A. Yesavage United States 2.4k citations
  4. 4 John R. Anderson United States 2.3k citations

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

Where is Memory Processes and Influences research done?

The largest centres of Memory Processes and Influences research in 2022–2025 are London (United Kingdom), New York (United States), Beijing (China) and Toronto (Canada).

Largest cities, 2022–2025

  1. 1 London United Kingdom 35 works
  2. 2 New York United States 31 works
  3. 3 Beijing China 31 works
  4. 4 Toronto Canada 30 works
  5. 5 Los Angeles United States 23 works
  6. 6 Boston United States 21 works
  7. 7 Tokyo Japan 19 works
  8. 8 Paris France 18 works
  9. 9 Chicago United States 17 works
  10. 10 Montreal Canada 15 works
See Memory Processes and Influences on the map

Where is the best place to study Memory Processes and Influences?

Among universities, judged by research, Maastricht University, Aarhus University and University of California, Los Angeles 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 19.88%fractional works in this node (log) →share in the world top 10% →Maastricht University: 13, 9.9%Aarhus University: 10, 29.9%University of California, Los Angeles: 14, 20.7%University of Zurich: 9, 25.1%University of California, Davis: 11, 31.7%University of Liège: 12, 11.2%University of Waterloo: 9, 19.4%University of Portsmouth: 10, 7.8%University of Toronto: 14, 16.3%University College London: 11, 26.8%Aarhus UniversityUniversity of ZurichUniversity of Califo…Maastricht University
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 Maastricht UniversityNetherlands 70.19.9%22.2×13 +80.2%
2 Aarhus UniversityDenmark 65.229.9%7.9×10 +27.2%
3 University of California, Los AngelesUnited States 64.820.7%8.6×14 +19.9%
4 University of ZurichSwitzerland 63.225.1%9.4×9 +32.3%
5 University of California, DavisUnited States 61.931.7%8.6×11 -34.9%
6 University of LiègeBelgium 60.711.2%23.2×12 +52.0%
7 University of WaterlooCanada 48.719.4%9.2×9 -6.1%
8 University of PortsmouthUnited Kingdom 47.87.8%36.6×10 +38.2%
9 University of TorontoCanada 47.416.3%5.5×14 +13.5%
10 University College LondonUnited Kingdom 45.826.8%4.4×11 -1.5%

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 Memory Processes and Influences research growing?

Output in 2018–2022 was 3% lower than in 2013–2017, peaking in 2025. The fastest-growing topics are Memory Processes and Influences.

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.