Science Explorer Interactive view Map

Digital Economy and Work Transformation

Digital Economy and Work Transformation is a research topic within Sociology and Political Science. Science Explorer counts 21k research works in it since 1950. 22.7% of them reached the world's top 10% most cited for their field and year.

This cluster of papers explores the impact of the gig economy and digital labor platforms on the labor market, highlighting issues such as worker precarity, algorithmic control, and labor market flexibility. It delves into the exploitation of platform workers and the transformation of traditional labor markets by online freelancing and platform capitalism.

  • Gig Economy
  • Digital Labor Platforms
  • Algorithmic Control
  • Worker Precarity
  • Platform Capitalism
  • Labor Market Flexibility
  • Online Freelancing
  • Worker Exploitation
  • Labor Market Transformation
  • Platform Workers
Research works
21k
fractional, since 1950
In the world top 10%
4.7k
per year above
Top-10% rate
22.7%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+138%
the tick is no change

Which countries lead Digital Economy and Work Transformation research?

By volume, the United States and Brazil publish the most (1k and 643 works in 2022–2025).

By volume, 2022–2025

  1. 1 United States 1k works
  2. 2 Brazil 643 works
  3. 3 United Kingdom 551 works
  4. 4 China 484 works
  5. 5 India 397 works
  6. 6 Germany 384 works
  7. 7 France 342 works
  8. 8 Italy 246 works
  9. 9 Australia 242 works
  10. 10 Canada 203 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: 22.7%Brazil: 14.2%United Kingdom: 12.2%China: 10.7%6 others listed: 40.1%23%largest
United States1,028 · 22.7%Brazil643 · 14.2%United Kingdom551 · 12.2%China484 · 10.7%6 others listed1,813 · 40.1%

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

Which institutions lead Digital Economy and Work Transformation research?

By volume in 2022–2025, Sapienza University of Rome publishes the most Digital Economy and Work Transformation research, followed by University of Oxford and University of Amsterdam.

By volume, 2022–2025

  1. 1 Sapienza University of RomeItaly 35 works
  2. 2 University of OxfordUnited Kingdom 35 works
  3. 3 University of AmsterdamNetherlands 31 works
  4. 4 University of TorontoCanada 29 works
  5. 5 Copenhagen Business SchoolDenmark 28 works
  6. 6 The University of SydneyAustralia 27 works
  7. 7 The University of MelbourneAustralia 27 works
  8. 8 Universidade de São PauloBrazil 23 works
  9. 9 University College LondonUnited Kingdom 23 works
  10. 10 Cornell UniversityUnited States 22 works

Who are the leading researchers in Digital Economy and Work Transformation?

The most-cited researchers publishing on Digital Economy and Work Transformation include David Autor.

  1. 1 David Autor United States 3k citations

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

Where is Digital Economy and Work Transformation research done?

The largest centres of Digital Economy and Work Transformation research in 2022–2025 are London (United Kingdom), Paris (France), Beijing (China) and São Paulo (Brazil).

Largest cities, 2022–2025

  1. 1 London United Kingdom 135 works
  2. 2 Paris France 112 works
  3. 3 Beijing China 105 works
  4. 4 São Paulo Brazil 99 works
  5. 5 Moscow Russia 70 works
  6. 6 Melbourne Australia 69 works
  7. 7 New York United States 67 works
  8. 8 Rio de Janeiro Brazil 67 works
  9. 9 Toronto Canada 59 works
  10. 10 Sydney Australia 57 works
See Digital Economy and Work Transformation on the map

Where is the best place to study Digital Economy and Work Transformation?

Among universities, judged by research, University of Amsterdam, University of Oxford and Copenhagen Business School 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%mean 41.23%fractional works in this node (log) →share in the world top 10% →University of Amsterdam: 30, 51.3%University of Oxford: 35, 55.2%Copenhagen Business School: 28, 35.2%The University of Melbourne: 27, 37.4%RMIT University: 16, 38.8%University of Essex: 13, 39.1%Erasmus University Rotterdam: 16, 38.3%London School of Economics and Political Science: 20, 33.8%Universitat Oberta de Catalunya: 11, 24.5%Chinese University of Hong Kong: 12, 58.7%University of OxfordUniversity of Amster…The University of Me…Copenhagen Business …
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 AmsterdamNetherlands 82.451.3%8.4×30 +255.7%
2 University of OxfordUnited Kingdom 74.155.2%3.9×35 +272.0%
3 Copenhagen Business SchoolDenmark 69.735.2%24.2×28 +84.5%
4 The University of MelbourneAustralia 61.737.4%4.0×27 +326.5%
5 RMIT UniversityAustralia 61.738.8%6.3×16 +169.8%
6 University of EssexUnited Kingdom 60.939.1%11.3×13 +62.8%
7 Erasmus University RotterdamNetherlands 60.738.3%8.2×16 +92.8%
8 London School of Economics and Political ScienceUnited Kingdom 60.633.8%12.2×20 +5.8%
9 Universitat Oberta de CatalunyaSpain 58.824.5%20.0×11 +557.5%
10 Chinese University of Hong KongHong Kong 58.458.7%2.4×12 +190.1%

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 Digital Economy and Work Transformation research growing?

Output in 2018–2022 was 138% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Digital Economy and Work Transformation.

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.