Science Explorer Interactive view Map

Open Source Software Innovations

Open Source Software Innovations is a research topic within Computer Science Applications. Science Explorer counts 16k research works in it since 1959. 33.2% of them reached the world's top 10% most cited for their field and year.

This cluster of papers explores the dynamics of open source innovation, emphasizing collaboration, crowdsourcing, and user-generated content. It delves into the principles of free/libre open source software, community-based innovation, and the lead user method. The research also highlights the significance of virtual customer environments and the role of user participation in driving innovation.

  • Open Source Software
  • Innovation
  • Collaboration
  • Crowdsourcing
  • User-Generated Content
  • Community-Based Innovation
  • Lead User Method
  • Virtual Customer Environments
  • Free/Libre Open Source Software
  • User Participation
Research works
16k
fractional, since 1959
In the world top 10%
5.3k
per year above
Top-10% rate
33.2%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
-10%
the tick is no change

Which countries lead Open Source Software Innovations research?

By volume, the United States and China publish the most (455 and 245 works in 2022–2025).

By volume, 2022–2025

  1. 1 United States 455 works
  2. 2 China 245 works
  3. 3 Germany 203 works
  4. 4 Brazil 122 works
  5. 5 United Kingdom 111 works
  6. 6 Canada 87 works
  7. 7 France 86 works
  8. 8 India 79 works
  9. 9 Italy 75 works
  10. 10 Netherlands 65 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: 29.8%China: 16.0%Germany: 13.3%Brazil: 8.0%6 others listed: 32.9%30%largest
United States455 · 29.8%China245 · 16.0%Germany203 · 13.3%Brazil122 · 8.0%6 others listed503 · 32.9%

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

Which institutions lead Open Source Software Innovations research?

By volume in 2022–2025, Carnegie Mellon University publishes the most Open Source Software Innovations research, followed by Utrecht University and Nanjing University.

By volume, 2022–2025

  1. 1 Carnegie Mellon University United States 11 works
  2. 2 Utrecht University Netherlands 11 works
  3. 3 Nanjing University China 10 works
  4. 4 Copenhagen Business School Denmark 9 works
  5. 5 Aarhus University Denmark 9 works
  6. 6 Universidade Federal do Estado do Rio de Janeiro Brazil 9 works
  7. 7 Politecnico di Milano Italy 8 works
  8. 8 Norwegian University of Science and Technology Norway 8 works
  9. 9 University of Washington United States 8 works
  10. 10 Eindhoven University of Technology Netherlands 8 works

Who are the leading researchers in Open Source Software Innovations?

The most-cited researchers publishing on Open Source Software Innovations include Michael S. Bernstein and John Riedl.

  1. 1 Michael S. Bernstein 10k citations
  2. 2 John Riedl 3.9k citations

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

Where is Open Source Software Innovations research done?

The largest centres of Open Source Software Innovations research in 2022–2025 are Beijing (China), London (United Kingdom), Nanjing (China) and Shanghai (China).

Largest cities, 2022–2025

  1. 1 Beijing China 50 works
  2. 2 London United Kingdom 34 works
  3. 3 Nanjing China 23 works
  4. 4 Shanghai China 22 works
  5. 5 Rio de Janeiro Brazil 19 works
  6. 6 Montreal Canada 19 works
  7. 7 Tokyo Japan 19 works
  8. 8 Berlin Germany 19 works
  9. 9 Munich Germany 18 works
  10. 10 Melbourne Australia 18 works
See Open Source Software Innovations on the map

Where is the best place to study Open Source Software Innovations?

Among universities, judged by research, Carnegie Mellon University, Utrecht University 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 31.58%fractional works in this node (log) →share in the world top 10% →Carnegie Mellon University: 11, 41.2%Utrecht University: 11, 37.2%Copenhagen Business School: 9, 39.4%Eindhoven University of Technology: 8, 40.7%Norwegian University of Science and Technology: 8, 37.3%Nanjing University: 10, 27.9%Universidade Federal do Estado do Rio de Janeiro: 9, 14.7%University of Washington: 8, 43.8%Aarhus University: 9, 20.0%Politecnico di Milano: 8, 13.6%Carnegie Mellon Univ…Eindhoven University…Copenhagen Business …Utrecht 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
1Carnegie Mellon University United States 77.041.2%11.9×11 -24.9%
2Utrecht University Netherlands 75.737.2%9.2×11 -25.9%
3Copenhagen Business School Denmark 65.939.4%25.4×9 -31.5%
4Eindhoven University of Technology Netherlands 63.940.7%9.9×8 -5.8%
5Norwegian University of Science and Technology Norway 55.237.3%6.7×8 +17.7%
6Nanjing University China 51.427.9%5.6×10 +70.6%
7Universidade Federal do Estado do Rio de Janeiro Brazil 38.914.7%23.2×9 +24.9%
8University of Washington United States 37.343.8%3.6×8 -11.1%
9Aarhus University Denmark 34.420.0%5.5×9 -6.3%
10Politecnico di Milano Italy 21.913.6%5.3×8 +13.6%

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 Open Source Software Innovations research growing?

Output in 2018–2022 was 10% lower than in 2013–2017, peaking in 2011. The fastest-growing topics are Open Source Software Innovations.

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.