Distributed and Parallel Computing Systems
Distributed and Parallel Computing Systems is a research topic within Computer Networks and Communications. Science Explorer counts 72k research works in it since 1950. 15.6% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on distributed grid computing systems, encompassing topics such as resource management, task scheduling, workflow management, computational grids, service-oriented science, data grids, high-performance computing, and virtual organizations.
- Grid Computing
- Distributed Systems
- Resource Management
- Task Scheduling
- Workflow Management
- Computational Grids
- Service-Oriented Science
- Data Grids
- High-Performance Computing
- Virtual Organizations
- Research works
- 72k fractional, since 1950
- In the world top 10%
- 11k per year above
- Top-10% rate
- 15.6% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- -31% the tick is no change
Which countries lead Distributed and Parallel Computing Systems research?
By volume, China and the United States publish the most (1.6k and 1.6k works in 2022–2025).
By volume, 2022–2025
- 1 China 1.6k works
- 2 United States 1.6k works
- 3 India 678 works
- 4 Germany 408 works
- 5 France 252 works
- 6 United Kingdom 230 works
- 7 Italy 206 works
- 8 Russia 177 works
- 9 Japan 164 works
- 10 Spain 159 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 Distributed and Parallel Computing Systems research?
By volume in 2022–2025, National University of Defense Technology publishes the most Distributed and Parallel Computing Systems research, followed by Tsinghua University and Oak Ridge National Laboratory.
By volume, 2022–2025
- 1 National University of Defense Technology China 55 works
- 2 Tsinghua University China 44 works
- 3 Oak Ridge National Laboratory United States 42 works
- 4 European Organization for Nuclear Research Switzerland 41 works
- 5 Beijing University of Posts and Telecommunications China 37 works
- 6 Argonne National Laboratory United States 34 works
- 7 Shanghai Jiao Tong University China 32 works
- 8 Fermi National Accelerator Laboratory United States 32 works
- 9 Chinese Academy of Sciences China 32 works
- 10 Sandia National Laboratories United States 29 works
Who are the leading researchers in Distributed and Parallel Computing Systems?
The most-cited researchers publishing on Distributed and Parallel Computing Systems include R. Kowalewski, S. L. Wu and Sw. Banerjee.
- 1 R. Kowalewski 11k citations
- 2 S. L. Wu 10k citations
- 3 Sw. Banerjee 10k citations
- 4 P. Jackson 10k citations
- 5 Steven J. Plimpton 10k citations
- 6 M. Costa 9.7k citations
- 7 Wei Liu 9.7k citations
- 8 M. Weber 9.7k citations
- 9 Ion Stoica 9.6k citations
- 10 X. Wu 9.6k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Distributed and Parallel Computing Systems research done?
The largest centres of Distributed and Parallel Computing Systems research in 2022–2025 are Beijing (China), Shanghai (China), Changsha (China) and Nanjing (China). Among places with at least 20 works in it, it is an unusually large share of all research in Batavia, Lemont and Livermore.
Largest cities, 2022–2025
Where it is the local speciality
- BataviaUS · 32.5 works50×
- LemontUS · 34.2 works25×
- LivermoreUS · 32.7 works18×
- Oak RidgeUS · 42.8 works18×
- Santa ClaraUS · 31.8 works17×
Location quotient: how much more of its research is in Distributed and Parallel Computing Systems than the world average.
Where is the best place to study Distributed and Parallel Computing Systems?
Among universities, judged by research, Universitat Politècnica de Catalunya, Beijing University of Posts and Telecommunications and National University of Defense Technology 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 table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Universitat Politècnica de Catalunya Spain | 59.2 | 17.8% | 11.2× | 25 | -19.7% |
| 2 | Beijing University of Posts and Telecommunications China | 58.1 | 24.9% | 8.4× | 37 | -49.3% |
| 3 | National University of Defense Technology China | 55.4 | 12.5% | 10.1× | 55 | -49.0% |
| 4 | TU Wien Austria | 52.8 | 20.7% | 8.5× | 19 | -47.6% |
| 5 | University of Saskatchewan Canada | 52.2 | 37.2% | 5.4× | 11 | -26.6% |
| 6 | Seattle University United States | 50.6 | 5.9% | 13.3× | 10 | +193.6% |
| 7 | Universidad Carlos III de Madrid Spain | 50.5 | 35.9% | 5.2× | 8 | +27.5% |
| 8 | Vellore Institute of Technology University India | 50.4 | 32.4% | 2.0× | 14 | +170.1% |
| 9 | Carnegie Mellon University United States | 49.4 | 20.0% | 6.0× | 17 | +73.9% |
| 10 | Koneru Lakshmaiah Education Foundation India | 47.4 | 21.1% | 4.8× | 10 | +270.8% |
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 Distributed and Parallel Computing Systems research growing?
Output in 2018–2022 was 31% lower than in 2013–2017, peaking in 2010.
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.