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Advanced Data Storage Technologies

Advanced Data Storage Technologies is a research topic within Computer Networks and Communications. Science Explorer counts 48k research works in it since 1951. 20.3% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on distributed storage systems, network coding, and flash memory technologies. It explores topics such as erasure coding, solid state drives, regenerating codes, NAND flash memory, and file systems for parallel computing.

  • Distributed Storage
  • Network Coding
  • Flash Memory
  • Erasure Coding
  • Solid State Drives
  • Storage Systems
  • Regenerating Codes
  • NAND Flash Memory
  • File Systems
  • Parallel Computing
Research works
48k
fractional, since 1951
In the world top 10%
9.7k
per year above
Top-10% rate
20.3%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
-20%
the tick is no change

Which countries lead Advanced Data Storage Technologies research?

By volume, China and the United States publish the most (1.5k and 1.4k works in 2022–2025).

By volume, 2022–2025

  1. 1 China 1.5k works
  2. 2 United States 1.4k works
  3. 3 India 405 works
  4. 4 South Korea 319 works
  5. 5 Germany 306 works
  6. 6 Japan 169 works
  7. 7 United Kingdom 167 works
  8. 8 France 145 works
  9. 9 Italy 128 works
  10. 10 Spain 109 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: 33.3%United States: 29.1%India: 8.7%South Korea: 6.9%6 others listed: 22.0%33%largest
China1,550 · 33.3%United States1,355 · 29.1%India405 · 8.7%South Korea319 · 6.9%6 others listed1,024 · 22.0%

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

Which institutions lead Advanced Data Storage Technologies research?

By volume in 2022–2025, Huazhong University of Science and Technology publishes the most Advanced Data Storage Technologies research, followed by Tsinghua University and National University of Defense Technology.

Who are the leading researchers in Advanced Data Storage Technologies?

The most-cited researchers publishing on Advanced Data Storage Technologies include R. Kowalewski, S. L. Wu and Sw. Banerjee.

  1. 1 R. Kowalewski United Kingdom 11k citations
  2. 2 S. L. Wu United Kingdom 10k citations
  3. 3 Sw. Banerjee United Kingdom 10k citations
  4. 4 P. Jackson United Kingdom 10k citations
  5. 5 Steven J. Plimpton United States 10k citations
  6. 6 Ion Stoica United States 9.6k citations
  7. 7 M. Morii United Kingdom 9.6k citations
  8. 8 H. Vincent Poor United States 9.5k citations
  9. 9 T. Adye United Kingdom 9.3k citations

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

Where is Advanced Data Storage Technologies research done?

The largest centres of Advanced Data Storage Technologies research in 2022–2025 are Beijing (China), Seoul (South Korea), Shanghai (China) and Wuhan (China). Among places with at least 20 works in it, it is an unusually large share of all research in Lemont, Santa Clara and Oak Ridge.

Largest cities, 2022–2025

  1. 1 Beijing China 372 works
  2. 2 Seoul South Korea 213 works
  3. 3 Shanghai China 130 works
  4. 4 Wuhan China 126 works
  5. 5 Changsha China 82 works
  6. 6 Guangzhou China 71 works
  7. 7 Shenzhen China 71 works
  8. 8 Nanjing China 69 works
  9. 9 Xi'an China 67 works
  10. 10 Tokyo Japan 65 works

Where it is the local speciality

  1. LemontUS · 30.3 works27×
  2. Santa ClaraUS · 38.3 works26×
  3. Oak RidgeUS · 30.3 works15×
← less than its size predictsmore →

Location quotient: how much more of its research is in Advanced Data Storage Technologies than the world average.

See Advanced Data Storage Technologies on the map

Where is the best place to study Advanced Data Storage Technologies?

Among universities, judged by research, Carnegie Mellon University, ETH Zurich 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.

0%20%40%mean 21.83%fractional works in this node (log) →share in the world top 10% →Carnegie Mellon University: 21, 28.7%ETH Zurich: 21, 32.4%National University of Defense Technology: 50, 12.3%Seoul National University: 36, 18.2%Technische Universität Darmstadt: 14, 32.1%East China Normal University: 24, 4.6%Huazhong University of Science and Technology: 64, 12.9%Tsinghua University: 61, 21.1%Technical University of Munich: 21, 30.4%Chinese University of Hong Kong: 17, 25.6%ETH ZurichCarnegie Mellon Univ…Seoul National Unive…National 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
1 Carnegie Mellon UniversityUnited States 62.028.7%9.0×21 +85.3%
2 ETH ZurichSwitzerland 54.732.4%5.3×21 +34.7%
3 National University of Defense TechnologyChina 53.012.3%11.3×50 -18.5%
4 Seoul National UniversitySouth Korea 51.718.2%8.0×36 -16.5%
5 Technische Universität DarmstadtGermany 50.532.1%7.4×14 -8.3%
6 East China Normal UniversityChina 50.04.6%8.5×24 +171.7%
7 Huazhong University of Science and TechnologyChina 49.912.9%7.1×64 -0.3%
8 Tsinghua UniversityChina 49.521.1%5.4×61 -29.1%
9 Technical University of MunichGermany 47.330.4%4.7×21 -7.1%
10 Chinese University of Hong KongHong Kong 46.825.6%4.2×17 +40.1%

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 Advanced Data Storage Technologies research growing?

Output in 2018–2022 was 20% lower than in 2013–2017, peaking in 2015. The fastest-growing topics are Advanced Data Storage Technologies.

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.