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Topic · Computer Networks and Communications

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. 9.7% 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%
4.8k
per year above
Top-10% rate
9.7%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
-39%
the tick is no change
Largest producer
China
45% of the 10 largest, 2022-now
Cooperative Communication and Network Coding

Which countries lead Cooperative Communication and Network Coding research?

By volume, China and India publish the most (1.4k and 559 works in 2022-now).

By volume, 2022-now

  1. 1 China 1.4k works
  2. 2 India 559 works
  3. 3 United States 387 works
  4. 4 South Korea 160 works
  5. 5 Japan 135 works
  6. 6 United Kingdom 127 works
  7. 7 Germany 118 works
  8. 8 Canada 116 works
  9. 9 France 79 works
  10. 10 Iran 71 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: 44.7%India: 17.7%United States: 12.2%South Korea: 5.1%6 others listed: 20.4%45%largest
China1,414 · 44.7%India559 · 17.7%United States387 · 12.2%South Korea160 · 5.1%6 others listed645 · 20.4%

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

Which institutions lead Cooperative Communication and Network Coding research?

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

By volume, 2022-now

  1. 1 Beijing University of Posts and TelecommunicationsChina 63 works
  2. 2 Southeast UniversityChina 56 works
  3. 3 Xidian UniversityChina 36 works
  4. 4 University of Electronic Science and Technology of ChinaChina 35 works
  5. 5 Nanjing University of Posts and TelecommunicationsChina 35 works
  6. 6 Chinese Academy of SciencesChina 33 works
  7. 7 Tsinghua UniversityChina 30 works
  8. 8 Beijing Jiaotong UniversityChina 23 works
  9. 9 Harbin Institute of TechnologyChina 22 works
  10. 10 Shanghai Jiao Tong UniversityChina 22 works

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

The most-cited researchers publishing on Cooperative Communication and Network Coding include Xiaogang Wang, Harry Eugene Stanley and H. Vincent Poor.

  1. 1 Xiaogang Wang China 260k citations
  2. 2 Harry Eugene Stanley United States 198k citations
  3. 3 H. Vincent Poor United States 165k citations
  4. 4 Seyedali Mirjalili Australia 154k citations
  5. 5 Stephen Boyd United States 142k citations
  6. 6 T. J. Kim Germany 139k citations
  7. 7 Claude E. Shannon United States 138k 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 Cooperative Communication and Network Coding?

The most cited paper in Cooperative Communication and Network Coding is "A simple transmit diversity technique for wireless communications" (S.M. Alamouti, 1998), with 12,858 citations. Next come "Cooperative Diversity in Wireless Networks: Efficient Protocols and Outage Behavior" (12,335) and "Capacity of Multi‐antenna Gaussian Channels" (11,395).

Most cited papers
#PaperReleasedCitations
1 A simple transmit diversity technique for wireless communications S.M. Alamouti · IEEE Journal on Selected Areas in Communications 1998 12,858
2 Cooperative Diversity in Wireless Networks: Efficient Protocols and Outage Behavior J. Nicholas Laneman, David N. C. Tse, Gregory W. Wornell · IEEE Transactions on Information Theory 30 Nov 2004 12,335
3 Capacity of Multi‐antenna Gaussian Channels Emre Telatar · European Transactions on Telecommunications Open access Nov 1999 11,395
4 Low-density parity-check codes Robert G. Gallager · IEEE Transactions on Information Theory Open access 1962 10,733
5 Ad-hoc on-demand distance vector routing Charles E. Perkins, E.M. Royer Conference paper 1999 10,342
All 98 most cited papers, with filters and sorting

Where is Cooperative Communication and Network Coding research done?

The largest centres of Cooperative Communication and Network Coding research in 2022-now 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-now

  1. 1 BeijingChina 294 works
  2. 2 NanjingChina 173 works
  3. 3 Xi'anChina 94 works
  4. 4 ShanghaiChina 83 works
  5. 5 SeoulSouth Korea 73 works
  6. 6 ShenzhenChina 66 works
  7. 7 ChengduChina 66 works
  8. 8 GuangzhouChina 60 works
  9. 9 BengaluruIndia 57 works
  10. 10 ChennaiIndia 52 works

Where it is the local speciality

  1. HsinchuTW · 22.5 works6.3×
← less than its size predicts1×more →

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, Southeast University, Nanyang Technological University and Hong Kong University of Science and 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 18.89%fractional works in this field (log) →share of work in the world top 10% →Hong Kong University…Chinese University o…Nanyang Technologica…Southeast University
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
1Southeast UniversityChina 61.015.4%10.2×56 -32.6%
2Nanyang Technological UniversitySingapore 60.220.8%5.4×16 +29.8%
3Hong Kong University of Science and TechnologyChina 57.523.9%6.8×10 -1.6%
4Chinese University of Hong Kong, ShenzhenChina 56.220.9%13.5×9 +32.3%
5Imperial College LondonUnited Kingdom 54.735.8%2.8×10 -28.2%
6Beijing University of Posts and TelecommunicationsChina 54.212.0%26.6×64 -57.9%
7KTH Royal Institute of TechnologySweden 52.020.5%12.1×17 -22.0%
8Xidian UniversityChina 49.411.0%13.5×36 -56.0%
9Princeton UniversityUnited States 48.216.1%7.3×12 -12.0%
10University of Electronic Science and Technology of ChinaChina 47.512.5%8.4×35 -42.0%

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 Cooperative Communication and Network Coding, country by country

Is Cooperative Communication and Network Coding research growing?

Output in 2022-2025 was 39% lower than in 2018-2021, peaking in 2012.

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 Cooperative Communication and Network Coding as a percentage of every work published that year, 0.019% in 2024.

still counting0.050%0.10%0.15%Cooperative Communication and Network Coding0.013% in 202519801990200020102020

Fractional works of Cooperative Communication and Network Coding 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%Cooperative Communication and Network Coding9.8% 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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