Science Explorer Interactive view Map

University-Industry-Government Innovation Models

University-Industry-Government Innovation Models is a research topic within Management of Technology and Innovation. Science Explorer counts 13k research works in it since 1954. 25.1% of them reached the world's top 10% most cited for their field and year.

This cluster of papers explores the concept of Quadruple Helix innovation ecosystems, emphasizing the interplay between academia, industry, government, and society in knowledge production and regional innovation systems. It delves into the dynamics of Triple Helix models, smart specialization strategies, and Mode 3 knowledge production, aiming to foster sustainable development and collaborative innovation within social systems.

  • Quadruple Helix
  • Innovation Ecosystem
  • Knowledge Production
  • Triple Helix
  • Regional Innovation Systems
  • Smart Specialization
  • Mode 3 Knowledge
  • University-Industry-Government Relations
  • Sustainable Development
  • Social Systems
Research works
13k
fractional, since 1954
In the world top 10%
3.3k
per year above
Top-10% rate
25.1%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+36%
the tick is no change

Which countries lead University-Industry-Government Innovation Models research?

By volume, Brazil and China publish the most (349 and 313 works in 2022–2025).

By volume, 2022–2025

  1. 1 Brazil 349 works
  2. 2 China 313 works
  3. 3 United States 260 works
  4. 4 Indonesia 208 works
  5. 5 Germany 188 works
  6. 6 Italy 162 works
  7. 7 United Kingdom 160 works
  8. 8 Russia 158 works
  9. 9 Spain 101 works
  10. 10 France 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.

Brazil: 17.5%China: 15.7%United States: 13.0%Indonesia: 10.4%6 others listed: 43.3%17%largest
Brazil349 · 17.5%China313 · 15.7%United States260 · 13.0%Indonesia208 · 10.4%6 others listed865 · 43.3%

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

Which institutions lead University-Industry-Government Innovation Models research?

By volume in 2022–2025, Copenhagen Business School publishes the most University-Industry-Government Innovation Models research, followed by National Research University Higher School of Economics and Politecnico di Milano.

Who are the leading researchers in University-Industry-Government Innovation Models?

The most-cited researchers publishing on University-Industry-Government Innovation Models include David B. Audretsch, Richard R. Nelson and Giovanni Dosi.

  1. 1 David B. Audretsch United States 3.7k citations
  2. 2 Richard R. Nelson United States 2.5k citations
  3. 3 Giovanni Dosi Italy 2.2k citations
  4. 4 Kalle Lyytinen United States 2.1k citations

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

Where is University-Industry-Government Innovation Models research done?

The largest centres of University-Industry-Government Innovation Models research in 2022–2025 are Moscow (Russia), Beijing (China), London (United Kingdom) and São Paulo (Brazil).

Largest cities, 2022–2025

  1. 1 Moscow Russia 77 works
  2. 2 Beijing China 60 works
  3. 3 London United Kingdom 41 works
  4. 4 São Paulo Brazil 40 works
  5. 5 Bandung Indonesia 36 works
  6. 6 Rio de Janeiro Brazil 34 works
  7. 7 Jakarta Indonesia 29 works
  8. 8 Kyiv Ukraine 26 works
  9. 9 Rome Italy 26 works
  10. 10 Shanghai China 24 works
See University-Industry-Government Innovation Models on the map

Where is the best place to study University-Industry-Government Innovation Models?

Among universities, judged by research, National Research University Higher School of Economics, Politecnico di Milano 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%20%40%mean 24.28%fractional works in this node (log) →share in the world top 10% →National Research University Higher School of Economics: 15, 39.0%Politecnico di Milano: 14, 27.4%Copenhagen Business School: 16, 14.6%Aarhus University: 10, 30.2%Tecnológico de Monterrey: 9, 19.1%Universidade Federal do Rio Grande do Sul: 13, 25.3%Aalborg University: 10, 25.3%Universidade Federal de Santa Catarina: 13, 12.3%University of Johannesburg: 9, 21.9%Padjadjaran University: 9, 27.7%National Research Un…Aarhus UniversityPolitecnico di MilanoCopenhagen 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 National Research University Higher School of EconomicsRussia 86.339.0%10.6×15 +96.6%
2 Politecnico di MilanoItaly 56.727.4%5.5×14 +46.5%
3 Copenhagen Business SchoolDenmark 56.314.6%26.9×16 -7.7%
4 Aarhus UniversityDenmark 49.930.2%4.0×10 +46.3%
5 Tecnológico de MonterreyMexico 48.319.1%9.8×9 +46.1%
6 Universidade Federal do Rio Grande do SulBrazil 47.525.3%4.9×13 +52.0%
7 Aalborg UniversityDenmark 45.425.3%5.6×10 +7.6%
8 Universidade Federal de Santa CatarinaBrazil 44.212.3%5.8×13 +228.0%
9 University of JohannesburgSouth Africa 33.021.9%4.0×9
10 Padjadjaran UniversityIndonesia 32.627.7%3.2×9

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 University-Industry-Government Innovation Models research growing?

Output in 2018–2022 was 36% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are University-Industry-Government Innovation Models.

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.