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Cooperative Communication and Network Coding

Cooperative Communication and Network Coding is a research topic within Computer Networks and Communications. Science Explorer counts 49k research works in it since 1950. 19.4% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on cooperative diversity in wireless networks, exploring efficient protocols, outage behavior, network coding, relay networks, space-time coding, and amplify-and-forward techniques. It delves into topics such as physical layer network coding, MIMO relay channels, and the analysis of outage probability in multiuser communication scenarios.

  • Cooperative Diversity
  • Wireless Networks
  • Network Coding
  • Relay Networks
  • Space-Time Coding
  • Amplify-and-Forward
  • Physical Layer Network Coding
  • MIMO Relay Channels
  • Outage Probability
  • Multiuser Communication
Research works
49k
fractional, since 1950
In the world top 10%
9.5k
per year above
Top-10% rate
19.4%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
-41%
the tick is no change

Which countries lead Cooperative Communication and Network Coding research?

By volume, China and India publish the most (1.3k and 548 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 1.3k works
  2. 2 India 548 works
  3. 3 United States 381 works
  4. 4 South Korea 157 works
  5. 5 Japan 131 works
  6. 6 United Kingdom 124 works
  7. 7 Germany 116 works
  8. 8 Canada 113 works
  9. 9 France 77 works
  10. 10 Iran 69 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: 43.4%India: 18.1%United States: 12.5%South Korea: 5.2%6 others listed: 20.8%43%largest
China1,318 · 43.4%India548 · 18.1%United States381 · 12.5%South Korea157 · 5.2%6 others listed630 · 20.8%

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

Which institutions lead Cooperative Communication and Network Coding research?

By volume in 2022–2025, Beijing University of Posts and Telecommunications publishes the most Cooperative Communication and Network Coding research, followed by Southeast University and Xidian University.

Who are the leading researchers in Cooperative Communication and Network Coding?

The most-cited researchers publishing on Cooperative Communication and Network Coding include H. Vincent Poor, Ian F. Akyildiz and Robert W. Heath.

  1. 1 H. Vincent Poor United States 9.5k citations
  2. 2 Ian F. Akyildiz United States 8.2k citations
  3. 3 Robert W. Heath United States 7.1k citations
  4. 4 Rui Zhang Singapore 6k citations
  5. 5 Mohamed‐Slim Alouini Saudi Arabia 5.9k citations
  6. 6 Guanrong Chen Hong Kong 5.4k citations
  7. 7 Xuemin Shen Canada 5.1k citations
  8. 8 Peng Shi Australia 5k citations
  9. 9 Zhu Han United States 4.7k citations
  10. 10 Georgios B. Giannakis United States 4.6k citations

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

Where is Cooperative Communication and Network Coding research done?

The largest centres of Cooperative Communication and Network Coding research in 2022–2025 are Beijing (China), Nanjing (China), Xi'an (China) and Shanghai (China). Among places with at least 20 works in it, it is an unusually large share of all research in Hsinchu.

Largest cities, 2022–2025

  1. 1 Beijing China 284 works
  2. 2 Nanjing China 169 works
  3. 3 Xi'an China 91 works
  4. 4 Shanghai China 80 works
  5. 5 Seoul South Korea 73 works
  6. 6 Shenzhen China 64 works
  7. 7 Chengdu China 64 works
  8. 8 Guangzhou China 57 works
  9. 9 Bengaluru India 56 works
  10. 10 Chennai India 51 works

Where it is the local speciality

  1. HsinchuTW · 22.5 works6.4×
← less than its size predictsmore →

Location quotient: how much more of its research is in Cooperative Communication and Network Coding than the world average.

See Cooperative Communication and Network Coding on the map

Where is the best place to study Cooperative Communication and Network Coding?

Among universities, judged by research, Chinese University of Hong Kong, Shenzhen, Southeast University and PLA Army Engineering University 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 16.53%fractional works in this node (log) →share in the world top 10% →Chinese University of Hong Kong, Shenzhen: 9, 17.7%Southeast University: 55, 11.0%PLA Army Engineering University: 13, 25.2%KTH Royal Institute of Technology: 17, 17.3%Beijing University of Posts and Telecommunications: 58, 8.6%Xidian University: 35, 11.7%University of Oulu: 15, 16.7%Nanjing University of Posts and Telecommunications: 34, 9.8%Imperial College London: 10, 33.5%University of Electronic Science and Technology of China: 34, 13.8%PLA Army Engineering…Chinese University o…KTH Royal Institute …Southeast 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 Chinese University of Hong Kong, ShenzhenChina 63.217.7%11.9×9 +311.0%
2 Southeast UniversityChina 61.111.0%10.0×55 +20.5%
3 PLA Army Engineering UniversityChina 55.225.2%27.0×13 +1.1%
4 KTH Royal Institute of TechnologySweden 54.917.3%11.3×17 -51.7%
5 Beijing University of Posts and TelecommunicationsChina 54.78.6%23.0×58 -30.7%
6 Xidian UniversityChina 53.811.7%11.6×35 -13.7%
7 University of OuluFinland 52.916.7%14.9×15 -41.3%
8 Nanjing University of Posts and TelecommunicationsChina 52.69.8%19.2×34 +3.9%
9 Imperial College LondonUnited Kingdom 49.733.5%2.9×10 +28.4%
10 University of Electronic Science and Technology of ChinaChina 49.513.8%7.5×34 -2.9%

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 Cooperative Communication and Network Coding research growing?

Output in 2018–2022 was 41% lower than in 2013–2017, peaking in 2012. The fastest-growing topics are Cooperative Communication and Network Coding.

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.