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Topic · Information Systems and Management

Personal Information Management and User Behavior

Personal Information Management and User Behavior is a research topic within Information Systems and Management. Science Explorer counts 10k research works in it since 1950. 10.1% of them reached the world's top 10% most cited for their field and year.

This cluster of papers explores the concept of information overload, focusing on its impact on knowledge management and work performance. It delves into various aspects such as interruptions, task switching, email management, cognitive load, mobile notifications, and attention management. The research aims to understand the challenges posed by information overload and develop strategies to mitigate its negative effects on individual and organizational productivity.

  • Information Overload
  • Interruptions
  • Task Switching
  • Email Management
  • Personal Information Management
  • Cognitive Load
  • Mobile Notifications
  • Attention Management
  • Work Performance
  • Knowledge Management
Research works
10k
fractional, since 1950
In the world top 10%
1k
per year above
Top-10% rate
10.1%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+10%
the tick is no change
Largest producer
United States
33% of the 10 largest, 2022-now
Personal Information Management and User Behavior

Which countries lead Personal Information Management and User Behavior research?

By volume, the United States and India publish the most (455 and 197 works in 2022-now).

By volume, 2022-now

  1. 1 United States 455 works
  2. 2 India 197 works
  3. 3 China 184 works
  4. 4 Germany 171 works
  5. 5 United Kingdom 104 works
  6. 6 Japan 63 works
  7. 7 Canada 61 works
  8. 8 France 52 works
  9. 9 Australia 46 works
  10. 10 Italy 41 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: 33.1%India: 14.3%China: 13.4%Germany: 12.4%6 others listed: 26.7%33%largest
United States455 · 33.1%India197 · 14.3%China184 · 13.4%Germany171 · 12.4%6 others listed367 · 26.7%

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

Which institutions lead Personal Information Management and User Behavior research?

By volume in 2022-now, Centre National de la Recherche Scientifique publishes the most Personal Information Management and User Behavior research, followed by Microsoft (United States) and Carnegie Mellon University.

By volume, 2022-now

  1. 1 Centre National de la Recherche ScientifiqueFrance 14 works
  2. 2 Microsoft (United States)United States 12 works
  3. 3 Carnegie Mellon UniversityUnited States 12 works
  4. 4 Film IndependentUnited States 11 works
  5. 5 Tsinghua UniversityChina 9 works
  6. 6 Delft University of TechnologyNetherlands 8 works
  7. 7 RWTH Aachen UniversityGermany 8 works
  8. 8 Ludwig-Maximilians-Universität MünchenGermany 7 works
  9. 9 Helmholtz Association of German Research CentresGermany 7 works
  10. 10 University of TorontoCanada 7 works

Who are the leading researchers in Personal Information Management and User Behavior?

The most-cited researchers publishing on Personal Information Management and User Behavior include Arnold B. Bakker, Fred D. Davis and Philip S. Yu.

  1. 1 Arnold B. Bakker Netherlands 189k citations
  2. 2 Fred D. Davis United States 153k citations
  3. 3 Philip S. Yu United States 141k citations
  4. 4 Mark Damian Griffiths United Kingdom 133k citations

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

What are the most cited papers in Personal Information Management and User Behavior?

The most cited paper in Personal Information Management and User Behavior is "Using collaborative filtering to weave an information tapestry" (David Theo Goldberg, David M. Nichols, Brian M. Oki et al., 1992), with 4,097 citations. Next come "Trust in Automation: Designing for Appropriate Reliance" (3,505) and "A Conceptual Framework and a Toolkit for Supporting the Rapid Prototyping of Context-Aware Applications" (2,963).

Most cited papers
#PaperReleasedCitations
1 Using collaborative filtering to weave an information tapestry David Theo Goldberg, David M. Nichols, Brian M. Oki et al. · Communications of the ACM Open access Dec 1992 4,097
2 Trust in Automation: Designing for Appropriate Reliance John D. Lee, Katrina A. See · Human Factors The Journal of the Human Factors and Ergonomics Society 2004 3,505
3 A Conceptual Framework and a Toolkit for Supporting the Rapid Prototyping of Context-Aware Applications Anind K. Dey, Gregory D. Abowd, Daniel Salber · Human-Computer Interaction Dec 2001 2,963
4 Trust in Automation Kevin A. Hoff, Masooda N. Bashir · Human Factors The Journal of the Human Factors and Ergonomics Society 2 Sep 2014 2,746
5 Awareness and coordination in shared workspaces Paul Dourish, Victoria M. E. Bellotti Conference paperOpen access 1992 2,513
All 100 most cited papers, with filters and sorting

Where is Personal Information Management and User Behavior research done?

The largest centres of Personal Information Management and User Behavior research in 2022-now are Beijing (China), London (United Kingdom), Tokyo (Japan) and Munich (Germany).

Largest cities, 2022-now

  1. 1 BeijingChina 48 works
  2. 2 LondonUnited Kingdom 25 works
  3. 3 TokyoJapan 22 works
  4. 4 MunichGermany 19 works
  5. 5 PuneIndia 19 works
  6. 6 Los AngelesUnited States 18 works
  7. 7 ShanghaiChina 16 works
  8. 8 ChennaiIndia 15 works
  9. 9 BengaluruIndia 15 works
  10. 10 PittsburghUnited States 15 works
See Personal Information Management and User Behavior on the map

Where is the best place to study Personal Information Management and User Behavior?

Among universities, judged by research, Carnegie Mellon University and Tsinghua 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.

Excellenceshare of its work in the world top 10%, 2022-now and all time averaged
40%
Specialisationhow much of its work is in this field, counted up to 10× the world share
10%
Sizeits output in this field, on a log scale
30%
Growthoutput growth, counted from -20% to +20%
10%
Internationalshare of its work with a co-author abroad
10%
Each slider sets a weight; the share it gets of the score is beside it.
#UniversityScoreTop 10%SpecialisationWorksGrowth
1Carnegie Mellon UniversityUnited States 90.017.5%16.3×12 -43.9%
2Tsinghua UniversityChina 10.012.6%2.3×9 +141.8%

Universities only. The score blends excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.

Every institution in Personal Information Management and User Behavior, country by country

Is Personal Information Management and User Behavior research growing?

Output in 2022-2025 was 10% higher than in 2018-2021, peaking in 2026. The fastest-growing topics are Personal Information Management and User Behavior.

still counting19801990200020102020
grewheldshrank

The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.

Its share of all research

Growing output can still be a shrinking share: all of science grows. This is Personal Information Management and User Behavior as a percentage of every work published that year, 0.0058% in 2024.

still counting0.010%0.020%Personal Information Management and User Behavior0.0096% in 202519801990200020102020

Fractional works of Personal Information Management and User Behavior over all fractional works that year. How the balance of science has shifted.

How much of it reaches the world top 10%

Year by year.

still counting5%10%15%Personal Information Management and User Behavior10.5% in 2025200020102020

Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.

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.

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