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Topic · Computer Networks and Communications

Distributed Sensor Networks and Detection Algorithms

Distributed Sensor Networks and Detection Algorithms is a research topic within Computer Networks and Communications. Science Explorer counts 14k research works in it since 1954. 21.6% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on decentralized inference and decision-making in wireless sensor networks, covering topics such as distributed detection, decentralized estimation, quantization, channel-aware fusion, energy efficiency, handling Byzantine attacks, optimal power allocation, cooperative routing, and sparsity-aware sensor selection.

  • Distributed Detection
  • Wireless Sensor Networks
  • Decentralized Estimation
  • Quantization
  • Channel-Aware Fusion
  • Energy Efficiency
  • Byzantine Attacks
  • Optimal Power Allocation
  • Cooperative Routing
  • Sparsity-Aware Selection
Research works
14k
fractional, since 1954
In the world top 10%
3k
per year above
Top-10% rate
21.6%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
-16%
the tick is no change

Which countries lead Distributed Sensor Networks and Detection Algorithms research?

By volume, China and the United States publish the most (848 and 354 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 848 works
  2. 2 United States 354 works
  3. 3 India 154 works
  4. 4 United Kingdom 70 works
  5. 5 Germany 63 works
  6. 6 Italy 57 works
  7. 7 France 50 works
  8. 8 Japan 45 works
  9. 9 Canada 45 works
  10. 10 South Korea 37 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: 49.2%United States: 20.5%India: 8.9%United Kingdom: 4.1%6 others listed: 17.3%49%largest
China848 · 49.2%United States354 · 20.5%India154 · 8.9%United Kingdom70 · 4.1%6 others listed298 · 17.3%

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

Which institutions lead Distributed Sensor Networks and Detection Algorithms research?

By volume in 2022–2025, University of Electronic Science and Technology of China publishes the most Distributed Sensor Networks and Detection Algorithms research, followed by Southeast University and Xidian University.

By volume, 2022–2025

  1. 1 University of Electronic Science and Technology of ChinaChina 33 works
  2. 2 Southeast UniversityChina 26 works
  3. 3 Xidian UniversityChina 23 works
  4. 4 Beijing University of Posts and TelecommunicationsChina 23 works
  5. 5 Northwestern Polytechnical UniversityChina 23 works
  6. 6 Tsinghua UniversityChina 22 works
  7. 7 Shanghai Jiao Tong UniversityChina 20 works
  8. 8 Heilongjiang UniversityChina 19 works
  9. 9 Beijing Institute of TechnologyChina 17 works
  10. 10 Harbin University of Science and TechnologyChina 17 works

Who are the leading researchers in Distributed Sensor Networks and Detection Algorithms?

The most-cited researchers publishing on Distributed Sensor Networks and Detection Algorithms include H. Vincent Poor, Leonidas Guibas and Mohamed‐Slim Alouini.

  1. 1 H. Vincent Poor United States 9.5k citations
  2. 2 Leonidas Guibas United States 6.3k citations
  3. 3 Mohamed‐Slim Alouini Saudi Arabia 5.9k citations
  4. 4 Emmanuel J. Candès United States 5.2k 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 Zidong Wang United Kingdom 4.4k citations

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

Where is Distributed Sensor Networks and Detection Algorithms research done?

The largest centres of Distributed Sensor Networks and Detection Algorithms 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 Harbin and Shenzhen.

Largest cities, 2022–2025

  1. 1 Beijing China 156 works
  2. 2 Nanjing China 74 works
  3. 3 Xi'an China 74 works
  4. 4 Shanghai China 71 works
  5. 5 Harbin China 58 works
  6. 6 Chengdu China 51 works
  7. 7 Hangzhou China 46 works
  8. 8 Shenzhen China 40 works
  9. 9 London United Kingdom 30 works
  10. 10 Hong Kong China 28 works

Where it is the local speciality

  1. HarbinCN · 57.7 works6.8×
  2. ShenzhenCN · 40.2 works5.5×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Distributed Sensor Networks and Detection Algorithms than the world average.

See Distributed Sensor Networks and Detection Algorithms on the map

Where is the best place to study Distributed Sensor Networks and Detection Algorithms?

Among universities, judged by research, University of Electronic Science and Technology of China, Brunel University of London and Xidian 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 23.49%fractional works in this node (log) →share in the world top 10% →University of Electronic Science and Technology of China: 33, 24.1%Brunel University of London: 8, 41.5%Xidian University: 23, 26.4%Beijing University of Posts and Telecommunications: 23, 30.4%Southeast University: 26, 23.4%Harbin University of Science and Technology: 17, 15.8%Heilongjiang University: 19, 19.9%Zhejiang University of Technology: 14, 18.5%Northwestern Polytechnical University: 23, 12.9%Beijing Institute of Technology: 17, 22.0%Brunel University of…Beijing University o…Xidian 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 University of Electronic Science and Technology of ChinaChina 67.824.1%13.7×33 +58.7%
2 Brunel University of LondonUnited Kingdom 67.841.5%25.4×8 +35.6%
3 Xidian UniversityChina 63.026.4%14.9×23 +34.0%
4 Beijing University of Posts and TelecommunicationsChina 61.830.4%17.5×23 -30.1%
5 Southeast UniversityChina 57.923.4%9.2×26 -4.3%
6 Harbin University of Science and TechnologyChina 53.315.8%40.7×17 +122.0%
7 Heilongjiang UniversityChina 52.919.9%52.4×19 +32.4%
8 Zhejiang University of TechnologyChina 48.118.5%12.0×14 +35.3%
9 Northwestern Polytechnical UniversityChina 47.712.9%9.4×23 +27.0%
10 Beijing Institute of TechnologyChina 46.522.0%6.8×17 +88.6%

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 Distributed Sensor Networks and Detection Algorithms research growing?

Output in 2018–2022 was 16% lower than in 2013–2017, peaking in 2014. The fastest-growing topics are Distributed Sensor Networks and Detection Algorithms.

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.