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. 9.8% 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%
- 1.2k per year above
- Top-10% rate
- 9.8% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- -36% the tick is no change
- Largest producer
China
35% of the 10 largest, 2022-now
Which countries lead Cognitive Radio Networks and Spectrum Sensing research?
By volume, China and India publish the most (408 and 406 works in 2022-now).
By volume, 2022-now
- 1
China
408 works
- 2
India
406 works
- 3
United States
138 works
- 4
Canada
36 works
- 5
South Korea
34 works
- 6
United Kingdom
30 works
- 7
France
28 works
- 8 ?? 26 works
- 9
Iraq
24 works
- 10
Japan
24 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.
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-now, 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.
By volume, 2022-now
- 1
University of Electronic Science and Technology of ChinaChina
19 works
- 2
Vellore Institute of Technology UniversityIndia
14 works
- 3
Saveetha UniversityIndia
14 works
- 4
Xidian UniversityChina
13 works
- 5
National University of Defense TechnologyChina
12 works
- 6
Beijing University of Posts and TelecommunicationsChina
12 works
- 7
Southeast UniversityChina
11 works
- 8
Nanjing University of Posts and TelecommunicationsChina
11 works
- 9
SRM Institute of Science and TechnologyIndia
11 works
- 10
Nanjing University of Aeronautics and AstronauticsChina
10 works
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, Paul Elliott and Wolfgang Köenig.
- 1
H. Vincent Poor
United States
165k citations
- 2
Paul Elliott
United Kingdom
154k citations
- 3
Wolfgang Köenig
Germany
134k citations
- 4
Hao Chen
China
118k citations
- 5
Rui Zhang
Singapore
115k citations
- 6
Ian Fuat Akyildiz
United States
110k citations
- 7
Xuemin Shen
Canada
104k 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-now are Beijing (China), Chennai (India), Nanjing (China) and Xi'an (China).
Where is the best place to study Cognitive Radio Networks and Spectrum Sensing?
Among universities, judged by research, Saveetha University, University of Electronic Science and Technology of China and Virginia Tech score highest, combining citation excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.
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.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Saveetha UniversityIndia |
78.6 | 16.3% | 10.8× | 14 | - |
| 2 | University of Electronic Science and Technology of ChinaChina |
70.1 | 12.6% | 12.7× | 19 | -27.3% |
| 3 | Virginia TechUnited States |
60.7 | 16.0% | 11.1× | 8 | -8.9% |
| 4 | Xidian UniversityChina |
59.9 | 15.6% | 13.4× | 13 | -31.0% |
| 5 | Vellore Institute of Technology UniversityIndia |
57.2 | 11.7% | 11.1× | 14 | -9.3% |
| 6 | Nanjing University of Aeronautics and AstronauticsChina |
46.6 | 5.6% | 8.8× | 10 | +64.3% |
| 7 | Nanjing University of Posts and TelecommunicationsChina |
44.1 | 14.9% | 19.1× | 11 | -36.0% |
| 8 | Southeast UniversityChina |
43.7 | 10.1% | 5.8× | 11 | -15.6% |
| 9 | Koneru Lakshmaiah Education FoundationIndia |
41.0 | 11.1% | 22.6× | 8 | -27.6% |
| 10 | National University of Defense TechnologyChina |
40.9 | 10.1% | 12.1× | 12 | -42.6% |
| 11 | Hangzhou Dianzi UniversityChina |
34.7 | 5.6% | 19.1× | 8 | +52.7% |
| 12 | Beijing University of Posts and TelecommunicationsChina |
34.6 | 5.7% | 14.1× | 12 | -65.7% |
| 13 | SRM Institute of Science and TechnologyIndia |
30.4 | 3.9% | 8.0× | 11 | -15.7% |
| 14 | Vels UniversityIndia |
24.5 | 2.8% | 46.5× | 9 | +66.1% |
Universities only. The score blends citation 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 Cognitive Radio Networks and Spectrum Sensing, country by countryIs Cognitive Radio Networks and Spectrum Sensing research growing?
Output in 2022-2025 was 36% lower than in 2018-2021, peaking in 2014.
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 Cognitive Radio Networks and Spectrum Sensing as a percentage of every work published that year, 0.0054% in 2024.
Fractional works of Cognitive Radio Networks and Spectrum Sensing 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.
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.
Discussion
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