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Cognitive Radio Networks and Spectrum Sensing

Cognitive Radio Networks and Spectrum Sensing is a research topic within Computer Networks and Communications. Science Explorer counts 12k research works in it since 1966. 20.9% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on cognitive radio networks, spectrum sensing, dynamic spectrum access, cooperative sensing, and opportunistic spectrum access. It covers topics such as spectrum sharing, MAC protocols, security threats, and game theory in the context of cognitive radio and wireless networks.

  • Cognitive Radio
  • Spectrum Sensing
  • Dynamic Spectrum Access
  • Cooperative Sensing
  • Opportunistic Spectrum Access
  • Wireless Networks
  • Spectrum Sharing
  • MAC Protocols
  • Security Threats
  • Game Theory
Research works
12k
fractional, since 1966
In the world top 10%
2.5k
per year above
Top-10% rate
20.9%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
-41%
the tick is no change

Which countries lead Cognitive Radio Networks and Spectrum Sensing research?

By volume, India and China publish the most (366 and 347 works in 2022–2025).

By volume, 2022–2025

  1. 1 India 366 works
  2. 2 China 347 works
  3. 3 United States 114 works
  4. 4 Canada 31 works
  5. 5 South Korea 29 works
  6. 6 United Kingdom 26 works
  7. 7 ?? 25 works
  8. 8 France 24 works
  9. 9 Iraq 21 works
  10. 10 Japan 20 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.

India: 36.5%China: 34.6%United States: 11.4%Canada: 3.1%6 others listed: 14.4%37%largest
India366 · 36.5%China347 · 34.6%United States114 · 11.4%Canada31 · 3.1%6 others listed144 · 14.4%

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

Which institutions lead Cognitive Radio Networks and Spectrum Sensing research?

By volume in 2022–2025, University of Electronic Science and Technology of China publishes the most Cognitive Radio Networks and Spectrum Sensing research, followed by Vellore Institute of Technology University and Saveetha University.

Who are the leading researchers in Cognitive Radio Networks and Spectrum Sensing?

The most-cited researchers publishing on Cognitive Radio Networks and Spectrum Sensing include H. Vincent Poor, Ian F. Akyildiz and Rui Zhang.

  1. 1 H. Vincent Poor United States 9.5k citations
  2. 2 Ian F. Akyildiz United States 8.2k citations
  3. 3 Rui Zhang Singapore 6k citations
  4. 4 Mohamed‐Slim Alouini Saudi Arabia 5.9k citations
  5. 5 Xuemin Shen Canada 5.1k citations
  6. 6 Zhu Han United States 4.7k citations
  7. 7 Georgios B. Giannakis United States 4.6k citations
  8. 8 Dusit Niyato Singapore 4.5k citations
  9. 9 Mérouane Debbah France 4.3k citations
  10. 10 Yonina C. Eldar Israel 4k citations

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

Where is Cognitive Radio Networks and Spectrum Sensing research done?

The largest centres of Cognitive Radio Networks and Spectrum Sensing research in 2022–2025 are Beijing (China), Chennai (India), Nanjing (China) and Xi'an (China). Among places with at least 20 works in it, it is an unusually large share of all research in Chennai.

Largest cities, 2022–2025

  1. 1 Beijing China 51 works
  2. 2 Chennai India 49 works
  3. 3 Nanjing China 46 works
  4. 4 Xi'an China 26 works
  5. 5 Chengdu China 24 works
  6. 6 Hangzhou China 18 works
  7. 7 Bengaluru India 17 works
  8. 8 Harbin China 16 works
  9. 9 Hyderabad India 15 works
  10. 10 Seoul South Korea 14 works

Where it is the local speciality

  1. ChennaiIN · 49.0 works7.7×
← less than its size predictsmore →

Location quotient: how much more of its research is in Cognitive Radio Networks and Spectrum Sensing than the world average.

See Cognitive Radio Networks and Spectrum Sensing on the map

Where is the best place to study Cognitive Radio Networks and Spectrum Sensing?

Among universities, judged by research, Vellore Institute of Technology University, Saveetha University and University of Electronic Science and Technology of China 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%30%mean 15.03%fractional works in this node (log) →share in the world top 10% →Vellore Institute of Technology University: 13, 20.3%Saveetha University: 12, 18.4%University of Electronic Science and Technology of China: 17, 16.4%Xidian University: 10, 24.4%Nanjing University of Posts and Telecommunications: 10, 13.4%National University of Defense Technology: 10, 13.9%Beijing University of Posts and Telecommunications: 10, 10.6%Nanjing University of Aeronautics and Astronautics: 9, 10.0%Vels University: 9, 7.5%Southeast University: 9, 15.4%Xidian UniversityVellore Institute of…Saveetha UniversityUniversity of Electr…
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 Vellore Institute of Technology UniversityIndia 79.420.3%10.3×13 +1390.0%
2 Saveetha UniversityIndia 70.418.4%9.9×12
3 University of Electronic Science and Technology of ChinaChina 67.816.4%11.6×17 -39.4%
4 Xidian UniversityChina 65.524.4%10.8×10 -39.4%
5 Nanjing University of Posts and TelecommunicationsChina 43.813.4%17.7×10 -39.6%
6 National University of Defense TechnologyChina 43.113.9%10.0×10 -6.9%
7 Beijing University of Posts and TelecommunicationsChina 37.610.6%12.4×10 -55.4%
8 Nanjing University of Aeronautics and AstronauticsChina 36.710.0%8.1×9 +141.5%
9 Vels UniversityIndia 32.67.5%45.9×9
10 Southeast UniversityChina 26.015.4%5.2×9 -19.4%

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 Cognitive Radio Networks and Spectrum Sensing research growing?

Output in 2018–2022 was 41% lower than in 2013–2017, peaking in 2014. The fastest-growing topics are Cognitive Radio Networks and Spectrum Sensing.

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.