Question 1

Which countries lead Distributed Sensor Networks and Detection Algorithms research?

Accepted Answer

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

Question 2

Which institutions lead Distributed Sensor Networks and Detection Algorithms research?

Accepted Answer

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.

Question 3

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

Accepted Answer

The most-cited researchers publishing on Distributed Sensor Networks and Detection Algorithms include Robert John Tibshirani, Xiaogang Wang and Michael I. Jordan.

Question 4

Where is Distributed Sensor Networks and Detection Algorithms research done?

Accepted Answer

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.

Question 5

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

Accepted Answer

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.

Question 6

Is Distributed Sensor Networks and Detection Algorithms research growing?

Accepted Answer

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

Question 7

What are the most cited papers in Distributed Sensor Networks and Detection Algorithms?

Accepted Answer

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).