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Distributed systems and fault tolerance

Distributed systems and fault tolerance is a research topic within Computer Networks and Communications. Science Explorer counts 44k research works in it since 1950. 9.9% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on research related to fault tolerance, consistency, and resilience in distributed systems. It covers topics such as Byzantine fault tolerance, transactional memory, checkpointing, replication, concurrency control, and software aging. The papers explore various techniques and algorithms to ensure the reliability and consistency of data and operations in distributed environments.

  • Fault Tolerance
  • Distributed Systems
  • Consistency
  • Transactional Memory
  • Byzantine Fault Tolerance
  • Checkpointing
  • Replication
  • Concurrency Control
  • Failure Prediction
  • Software Aging
Research works
44k
fractional, since 1950
In the world top 10%
4.3k
per year above
Top-10% rate
9.9%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
-7%
the tick is no change
Largest producer
United States
30% of the 10 largest, 2022-now
Distributed systems and fault tolerance

Which countries lead Distributed systems and fault tolerance research?

By volume, the United States and China publish the most (1.1k and 965 works in 2022-now).

By volume, 2022-now

  1. 1 United States 1.1k works
  2. 2 China 965 works
  3. 3 Germany 304 works
  4. 4 India 296 works
  5. 5 France 234 works
  6. 6 United Kingdom 193 works
  7. 7 Italy 168 works
  8. 8 Canada 136 works
  9. 9 Japan 130 works
  10. 10 Brazil 94 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: 30.4%China: 26.7%Germany: 8.4%India: 8.2%6 others listed: 26.4%30%largest
United States1,100 · 30.4%China965 · 26.7%Germany304 · 8.4%India296 · 8.2%6 others listed955 · 26.4%

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

Which institutions lead Distributed systems and fault tolerance research?

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

Who are the leading researchers in Distributed systems and fault tolerance?

The most-cited researchers publishing on Distributed systems and fault tolerance include Xiangyu Zhang, John P. A. Ioannidis and Li Fei-Fei.

  1. 1 Xiangyu Zhang 327k citations
  2. 2 John P. A. Ioannidis United States 317k citations
  3. 3 Li Fei-Fei United States 225k citations
  4. 4 Kai You Wang China 224k 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 systems and fault tolerance?

The most cited paper in Distributed systems and fault tolerance is "Suspending OpenMP Tasks on Asynchronous Events: Extending the Taskwait Construct" (Romain Pereira, M. N. Martin, Adrien Roussel et al., 2023), with 12,967 citations. Next come "The art of case study research" (8,256) and "Interactive Tree Of Life (iTOL) v4: recent updates and new developments" (6,592).

Most cited papers
#PaperReleasedCitations
1 Suspending OpenMP Tasks on Asynchronous Events: Extending the Taskwait Construct Romain Pereira, M. N. Martin, Adrien Roussel et al. · Lecture notes in computer science Conference paperOpen access 2023 12,967
2 The art of case study research Reijo Savolainen · Library & Information Science Research Jun 1996 8,256
3 Interactive Tree Of Life (iTOL) v4: recent updates and new developments Ivica Letunić, Peer Bork · Nucleic Acids Research Open access 25 Mar 2019 6,592
4 The temporal logic of programs Amir Pnueli Conference paper Sep 1977 5,753
5 A relational model of data for large shared data banks E. F. Codd · Communications of the ACM Open access Jun 1970 5,322
All 98 most cited papers, with filters and sorting

Where is Distributed systems and fault tolerance research done?

The largest centres of Distributed systems and fault tolerance research in 2022-now are Beijing (China), Shanghai (China), Paris (France) and Tokyo (Japan). Among places with at least 20 works in it, it is an unusually large share of all research in Saarbrücken.

Largest cities, 2022-now

  1. 1 BeijingChina 234 works
  2. 2 ShanghaiChina 96 works
  3. 3 ParisFrance 72 works
  4. 4 TokyoJapan 54 works
  5. 5 Xi'anChina 52 works
  6. 6 NanjingChina 51 works
  7. 7 SeoulSouth Korea 49 works
  8. 8 Los AngelesUnited States 45 works
  9. 9 WuhanChina 44 works
  10. 10 ShenzhenChina 39 works

Where it is the local speciality

  1. SaarbrückenDE · 23.0 works15×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Distributed systems and fault tolerance than the world average.

See Distributed systems and fault tolerance on the map

Where is the best place to study Distributed systems and fault tolerance?

Among universities, judged by research, Carnegie Mellon University, National University of Singapore and ETH Zurich 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 20.09%fractional works in this field (log) →share of work in the world top 10% →National University …University of Illino…ETH ZurichCarnegie Mellon Univ…
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
1Carnegie Mellon UniversityUnited States 70.815.1%16.3×28 -60.5%
2National University of SingaporeSingapore 70.225.9%3.4×16 +18.7%
3ETH ZurichSwitzerland 68.615.9%8.3×24 -28.2%
4University of Illinois Urbana-ChampaignUnited States 67.017.0%7.0×25 -5.4%
5Tsinghua UniversityChina 66.923.7%2.9×27 +8.8%
6Hong Kong University of Science and TechnologyChina 66.031.9%4.8×8 +83.1%
7Beijing University of Posts and TelecommunicationsChina 63.517.6%8.2×22 +117.6%
8TU WienAustria 60.818.0%14.7×19 +4.1%
9Stanford UniversityUnited States 59.418.7%2.0×12 +15.7%
10Aarhus UniversityDenmark 59.017.1%4.0×14 +17.2%

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 systems and fault tolerance, country by country

Is Distributed systems and fault tolerance research growing?

Output in 2022-2025 was 7% lower than in 2018-2021, peaking in 2002.

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 systems and fault tolerance as a percentage of every work published that year, 0.018% in 2024.

still counting0.10%0.20%Distributed systems and fault tolerance0.021% in 202519801990200020102020

Fractional works of Distributed systems and fault tolerance 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 systems and fault tolerance10.0% 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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