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. 10.2% 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%
- 1.6k per year above
- Top-10% rate
- 10.2% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- -17% the tick is no change
- Largest producer
United States
29% of the 10 largest, 2022-now
Which countries lead Open Source Software Innovations research?
By volume, the United States and China publish the most (524 and 314 works in 2022-now).
By volume, 2022-now
- 1
United States 524 works
- 2
China 314 works
- 3
Germany 239 works
- 4
United Kingdom 140 works
- 5
Brazil 134 works
- 6
India 103 works
- 7
Canada 100 works
- 8
France 96 works
- 9
Italy 86 works
- 10
Netherlands 74 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.
Shares of the rows listed above, not of the whole node.
Which institutions lead Open Source Software Innovations research?
By volume in 2022-now, Centre National de la Recherche Scientifique publishes the most Open Source Software Innovations research, followed by Carnegie Mellon University and Utrecht University.
By volume, 2022-now
- 1
Centre National de la Recherche Scientifique
France 17 works
- 2
Carnegie Mellon University
United States 13 works
- 3
Utrecht University
Netherlands 12 works
- 4
English Heritage
United Kingdom 11 works
- 5
Nanjing University
China 11 works
- 6
University of Washington
United States 10 works
- 7
Aarhus University
Denmark 10 works
- 8
Helmholtz Association of German Research Centres
Germany 10 works
- 9
Copenhagen Business School
Denmark 10 works
- 10
University of Stuttgart
Germany 9 works
Who are the leading researchers in Open Source Software Innovations?
The most-cited researchers publishing on Open Source Software Innovations include Christian M. Ringle, Kathleen M. Eisenhardt and Fred D. Davis.
- 1
Christian M. Ringle
Germany 215k citations
- 2
Kathleen M. Eisenhardt
United States 169k citations
- 3
Fred D. Davis
United States 153k 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-now are Beijing (China), London (United Kingdom), Shanghai (China) and Nanjing (China).
Where is the best place to study Open Source Software Innovations?
Among universities, judged by research, Carnegie Mellon University, Utrecht University and Vrije Universiteit Amsterdam 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.
One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Carnegie Mellon University |
77.2 | 18.5% | 13.2× | 13 | -39.1% |
| 2 | Utrecht University |
70.5 | 15.4% | 6.9× | 12 | +0.5% |
| 3 | Vrije Universiteit Amsterdam |
70.1 | 30.5% | 8.8× | 8 | +21.8% |
| 4 | Copenhagen Business School |
59.3 | 20.7% | 25.3× | 10 | -17.0% |
| 5 | University of Washington |
48.9 | 19.2% | 3.9× | 10 | -20.7% |
| 6 | Aarhus University |
44.9 | 7.9% | 5.1× | 10 | -14.3% |
| 7 | Eindhoven University of Technology |
44.6 | 7.5% | 9.9× | 8 | -9.2% |
| 8 | Nanjing University |
43.7 | 5.2% | 5.0× | 11 | +87.0% |
| 9 | Norwegian University of Science and Technology |
41.1 | 9.6% | 6.4× | 9 | +12.3% |
| 10 | University of Stuttgart |
38.7 | 13.6% | 11.1× | 9 | -16.3% |
| 11 | Politecnico di Milano |
38.2 | 6.8% | 5.3× | 9 | +41.0% |
| 12 | Universidade Federal do Estado do Rio de Janeiro |
27.5 | 1.9% | 23.4× | 9 | +28.7% |
| 13 | Friedrich-Alexander-Universität Erlangen-Nürnberg |
23.4 | 2.7% | 6.6× | 9 | -2.4% |
| 14 | Delft University of Technology |
21.5 | 6.1% | 5.1× | 8 | -31.0% |
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 Open Source Software Innovations, country by countryIs Open Source Software Innovations research growing?
Output in 2022-2025 was 17% lower than in 2018-2021, peaking in 2011.
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 Open Source Software Innovations as a percentage of every work published that year, 0.0098% in 2024.
Fractional works of Open Source Software Innovations 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.
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.
Discussion
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