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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. 9.9% 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%
1.4k
per year above
Top-10% rate
9.9%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
0%
the tick is no change
Largest producer
China
52% of the 10 largest, 2022-now
Distributed Sensor Networks and Detection Algorithms

Which countries lead Distributed Sensor Networks and Detection Algorithms research?

By volume, China and the United States publish the most (1.1k and 396 works in 2022-now).

By volume, 2022-now

  1. 1 China 1.1k works
  2. 2 United States 396 works
  3. 3 India 176 works
  4. 4 United Kingdom 77 works
  5. 5 Germany 72 works
  6. 6 Italy 62 works
  7. 7 France 56 works
  8. 8 Japan 54 works
  9. 9 Canada 52 works
  10. 10 South Korea 44 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: 51.7%United States: 19.3%India: 8.6%United Kingdom: 3.8%6 others listed: 16.6%52%largest
China1,059 · 51.7%United States396 · 19.3%India176 · 8.6%United Kingdom77 · 3.8%6 others listed339 · 16.6%

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-now, 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-now

  1. 1 University of Electronic Science and Technology of ChinaChina 38 works
  2. 2 Southeast UniversityChina 31 works
  3. 3 Xidian UniversityChina 29 works
  4. 4 Beijing University of Posts and TelecommunicationsChina 27 works
  5. 5 Chinese Academy of SciencesChina 27 works
  6. 6 Northwestern Polytechnical UniversityChina 26 works
  7. 7 Tsinghua UniversityChina 24 works
  8. 8 Heilongjiang UniversityChina 23 works
  9. 9 Shanghai Jiao Tong UniversityChina 22 works
  10. 10 Beijing Institute of TechnologyChina 21 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 Robert John Tibshirani, Xiaogang Wang and Michael I. Jordan.

  1. 1 Robert John Tibshirani United States 396k citations
  2. 2 Xiaogang Wang China 260k citations
  3. 3 Michael I. Jordan United States 182k citations
  4. 4 H. Vincent Poor United States 165k citations
  5. 5 David L. Donoho United States 154k 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 Distributed Sensor Networks and Detection Algorithms?

The most cited paper in Distributed Sensor Networks and Detection Algorithms is "Decoding by Linear Programming" (Emmanuel J. Candès, Terence Tao, 2005), with 7,371 citations. Next come "A survey of spectrum sensing algorithms for cognitive radio applications" (4,827) and "Cubature Kalman Filters" (3,395).

Most cited papers
#PaperReleasedCitations
1 Decoding by Linear Programming Emmanuel J. Candès, Terence Tao · IEEE Transactions on Information Theory 22 Nov 2005 7,371
2 A survey of spectrum sensing algorithms for cognitive radio applications Tevfik Yucek, Hüseyin Arslan · IEEE Communications Surveys & Tutorials 2009 4,827
3 Cubature Kalman Filters Ienkaran Arasaratnam, S. Haykin · IEEE Transactions on Automatic Control 27 May 2009 3,395
4 Sensing-Throughput Tradeoff for Cognitive Radio Networks Ying‐Chang Liang, Yonghong Zeng, Edward Chu Yeow Peh et al. · IEEE Transactions on Wireless Communications Apr 2008 3,018
5 Implementation issues in spectrum sensing for cognitive radios Danijela Branislav Čabrić, Shridhar Mubaraq Mishra, R.W. Brodersen Conference paper 31 Mar 2005 2,602
All 98 most cited papers, with filters and sorting

Where is Distributed Sensor Networks and Detection Algorithms research done?

The largest centres of Distributed Sensor Networks and Detection Algorithms research in 2022-now are Beijing (China), Xi'an (China), Nanjing (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-now

  1. 1 BeijingChina 183 works
  2. 2 Xi'anChina 89 works
  3. 3 NanjingChina 89 works
  4. 4 ShanghaiChina 80 works
  5. 5 HarbinChina 69 works
  6. 6 ChengduChina 60 works
  7. 7 HangzhouChina 52 works
  8. 8 ShenzhenChina 47 works
  9. 9 LondonUnited Kingdom 33 works
  10. 10 Hong KongChina 32 works

Where it is the local speciality

  1. HarbinCN · 69.4 works7.0×
  2. ShenzhenCN · 46.6 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, Southeast University, Brunel University of London and Beijing University of Posts and Telecommunications 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 20.33%fractional works in this field (log) →share of work in the world top 10% →Brunel University of…Beijing University o…Southeast UniversityUniversity of Electr…
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 62.917.2%9.6×31 +139.0%
2Brunel University of LondonUnited Kingdom 62.834.8%26.8×9 -2.9%
3Beijing University of Posts and TelecommunicationsChina 59.722.2%19.1×27 +108.4%
4University of Electronic Science and Technology of ChinaChina 57.812.6%15.4×38 -2.3%
5Northeast Petroleum UniversityChina 56.429.1%35.8×9 +214.3%
6Northwestern Polytechnical UniversityChina 54.411.7%10.6×26 +44.9%
7Xidian UniversityChina 52.910.2%18.2×29 +6.5%
8Heilongjiang UniversityChina 52.214.1%60.8×23 +6.8%
9Southern University of Science and TechnologyChina 50.632.1%7.1×8 +287.2%
10Tsinghua UniversityChina 50.219.3%4.8×24 +8.0%

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 Distributed Sensor Networks and Detection Algorithms, country by country

Is Distributed Sensor Networks and Detection Algorithms research growing?

Output in 2022-2025 was 0% lower than in 2018-2021, peaking in 2014.

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 Distributed Sensor Networks and Detection Algorithms as a percentage of every work published that year, 0.010% in 2024.

still counting0.010%0.020%0.030%Distributed Sensor Networks and Detection Algorithms0.011% in 202519801990200020102020

Fractional works of Distributed Sensor Networks and Detection Algorithms 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%Distributed Sensor Networks and Detection Algorithms9.9% 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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