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Topic · Computer Networks and Communications

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. 10.0% 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%
7.2k
per year above
Top-10% rate
10.0%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+9%
the tick is no change
Largest producer
China
30% of the 10 largest, 2022-now
Distributed and Parallel Computing Systems

Which countries lead Distributed and Parallel Computing Systems research?

By volume, China and the United States publish the most (1.8k and 1.7k works in 2022-now).

By volume, 2022-now

  1. 1 China 1.8k works
  2. 2 United States 1.7k works
  3. 3 India 760 works
  4. 4 Germany 450 works
  5. 5 France 271 works
  6. 6 United Kingdom 246 works
  7. 7 Italy 224 works
  8. 8 Russia 187 works
  9. 9 Spain 178 works
  10. 10 Japan 176 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.

China: 30.1%United States: 28.2%India: 12.7%Germany: 7.5%6 others listed: 21.4%30%largest
China1,802 · 30.1%United States1,687 · 28.2%India760 · 12.7%Germany450 · 7.5%6 others listed1,281 · 21.4%

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

Which institutions lead Distributed and Parallel Computing Systems research?

By volume in 2022-now, Chinese Academy of Sciences publishes the most Distributed and Parallel Computing Systems research, followed by Centre National de la Recherche Scientifique and Helmholtz Association of German Research Centres.

By volume, 2022-now

  1. 1 Chinese Academy of SciencesChina 107 works
  2. 2 Centre National de la Recherche ScientifiqueFrance 90 works
  3. 3 Helmholtz Association of German Research CentresGermany 74 works
  4. 4 National University of Defense TechnologyChina 59 works
  5. 5 Russian Academy of SciencesRussia 49 works
  6. 6 European Organization for Nuclear ResearchSwitzerland 48 works
  7. 7 Tsinghua UniversityChina 47 works
  8. 8 Beijing University of Posts and TelecommunicationsChina 44 works
  9. 9 Oak Ridge National LaboratoryUnited States 43 works
  10. 10 State Grid Corporation of China (China)China 36 works

Who are the leading researchers in Distributed and Parallel Computing Systems?

The most-cited researchers publishing on Distributed and Parallel Computing Systems include M. Shoji, Yoshua Bengio and Rob Knight.

  1. 1 M. Shoji Japan 806k citations
  2. 2 Yoshua Bengio Canada 476k citations
  3. 3 Rob Knight United States 468k citations
  4. 4 John P. A. Ioannidis United States 317k citations
  5. 5 M. Weber Israel 267k citations
  6. 6 Xiaogang Wang China 260k citations
  7. 7 P. Jackson France 230k citations
  8. 8 Donald G. Truhlar United States 230k citations

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

What are the most cited papers in Distributed and Parallel Computing Systems?

The most cited paper in Distributed and Parallel Computing Systems is "Clustal W and Clustal X version 2.0" (Mark Larkin, Gordon Blackshields, Nigel P. Brown et al., 2007), with 29,302 citations. Next come "Scheduling Algorithms for Multiprogramming in a Hard-Real-Time Environment" (8,426) and "The art of case study research" (8,256).

Most cited papers
#PaperReleasedCitations
1 Clustal W and Clustal X version 2.0 Mark Larkin, Gordon Blackshields, Nigel P. Brown et al. · Bioinformatics 10 Sep 2007 29,302
2 Scheduling Algorithms for Multiprogramming in a Hard-Real-Time Environment C. L. Liu, J. W. Layland · Journal of the ACM Open access 1973 8,426
3 The art of case study research Reijo Savolainen · Library & Information Science Research Jun 1996 8,256
4 Simulating physics with computers Richard P. Feynman · International Journal of Theoretical Physics Jun 1982 7,675
5 The Grid 2: Blueprint for a New Computing Infrastructure Ian Foster, Carl Kesselman Oct 1998 7,618
All 99 most cited papers, with filters and sorting

Where is Distributed and Parallel Computing Systems research done?

The largest centres of Distributed and Parallel Computing Systems research in 2022-now 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-now

  1. 1 BeijingChina 476 works
  2. 2 ShanghaiChina 126 works
  3. 3 ChangshaChina 108 works
  4. 4 NanjingChina 107 works
  5. 5 GuangzhouChina 95 works
  6. 6 Xi'anChina 91 works
  7. 7 MoscowRussia 86 works
  8. 8 SeoulSouth Korea 74 works
  9. 9 ParisFrance 69 works
  10. 10 BengaluruIndia 68 works

Where it is the local speciality

  1. BataviaUS · 32.9 works52×
  2. LemontUS · 35.0 works25×
  3. LivermoreUS · 32.8 works17×
  4. Oak RidgeUS · 43.9 works17×
  5. Santa ClaraUS · 32.2 works16×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Distributed and Parallel Computing Systems than the world average.

See Distributed and Parallel Computing Systems on the map

Where is the best place to study Distributed and Parallel Computing Systems?

Among universities, judged by research, Beijing University of Posts and Telecommunications, Universitat Politècnica de Catalunya and Massachusetts Institute of 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.

0%10%20%mean 15.84%fractional works in this field (log) →share of work in the world top 10% →Massachusetts Instit…Tsinghua UniversityBeijing University o…Universitat Politècn…
above the meannear itbelow it

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.

Excellenceshare of its work in the world top 10%, 2022-now and all time averaged
40%
Specialisationhow much of its work is in this field, counted up to 10× the world share
10%
Sizeits output in this field, on a log scale
30%
Growthoutput growth, counted from -20% to +20%
10%
Internationalshare of its work with a co-author abroad
10%
Each slider sets a weight; the share it gets of the score is beside it.
#UniversityScoreTop 10%SpecialisationWorksGrowth
1Beijing University of Posts and TelecommunicationsChina 62.616.0%10.2×44 +189.0%
2Universitat Politècnica de CatalunyaSpain 62.311.8%12.6×30 +8.4%
3Massachusetts Institute of TechnologyUnited States 62.017.2%3.7×18 +18.5%
4Tsinghua UniversityChina 60.316.5%3.0×47 +87.8%
5TU WienAustria 60.015.9%9.5×20 +133.1%
6National University of Defense TechnologyChina 59.99.5%11.3×59 +49.6%
7Georgia Institute of TechnologyUnited States 59.610.7%5.6×24 +44.7%
8The University of MelbourneAustralia 59.218.5%1.5×11 +13.2%
9University of Illinois Urbana-ChampaignUnited States 57.218.5%4.1×24 -7.6%
10Nanyang Technological UniversitySingapore 56.323.8%2.4×13 +63.2%

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 Distributed and Parallel Computing Systems, country by country

Is Distributed and Parallel Computing Systems research growing?

Output in 2022-2025 was 9% higher than in 2018-2021, peaking in 2010. The fastest-growing topics are Distributed and Parallel Computing Systems.

still counting19801990200020102020
grewheldshrank

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 Distributed and Parallel Computing Systems as a percentage of every work published that year, 0.044% in 2024.

still counting0.10%0.20%Distributed and Parallel Computing Systems0.040% in 202519801990200020102020

Fractional works of Distributed and Parallel Computing Systems 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.

still counting5%10%15%Distributed and Parallel Computing Systems10.0% in 2025200020102020

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.

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