Direction-of-Arrival Estimation Techniques
Direction-of-Arrival Estimation Techniques is a research topic within Signal Processing. Science Explorer counts 14k research works in it since 1961. 22.1% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on array processing techniques for signal localization and estimation, including direction-of-arrival estimation, beamforming, sparse sensing, coprime arrays, robust adaptive beamforming, MIMO radar, smart antennas, and sparse Bayesian learning.
- Array Processing
- Direction-of-Arrival Estimation
- Beamforming
- Sparse Sensing
- Coprime Arrays
- Robust Adaptive Beamforming
- MIMO Radar
- Smart Antennas
- Sparse Bayesian Learning
- Sensor Arrays
- Research works
- 14k fractional, since 1961
- In the world top 10%
- 3k per year above
- Top-10% rate
- 22.1% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +13% the tick is no change
Which countries lead Direction-of-Arrival Estimation Techniques research?
By volume, China and the United States publish the most (1.2k and 161 works in 2022–2025).
By volume, 2022–2025
- 1 China 1.2k works
- 2 United States 161 works
- 3 India 88 works
- 4 Germany 53 works
- 5 United Kingdom 50 works
- 6 Japan 42 works
- 7 France 40 works
- 8 South Korea 40 works
- 9 Russia 35 works
- 10 Italy 33 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 Direction-of-Arrival Estimation Techniques research?
By volume in 2022–2025, University of Electronic Science and Technology of China publishes the most Direction-of-Arrival Estimation Techniques research, followed by Xidian University and National University of Defense Technology.
By volume, 2022–2025
- 1 University of Electronic Science and Technology of China China 67 works
- 2 Xidian University China 65 works
- 3 National University of Defense Technology China 40 works
- 4 Harbin Engineering University China 39 works
- 5 Nanjing University of Aeronautics and Astronautics China 37 works
- 6 Northwestern Polytechnical University China 36 works
- 7 Beijing Institute of Technology China 32 works
- 8 Nanjing University of Science and Technology China 29 works
- 9 Air Force Engineering University China 27 works
- 10 Harbin Institute of Technology China 26 works
Who are the leading researchers in Direction-of-Arrival Estimation Techniques?
The most-cited researchers publishing on Direction-of-Arrival Estimation Techniques include H. Vincent Poor, Robert W. Heath and Georgios B. Giannakis.
- 1 H. Vincent Poor 9.5k citations
- 2 Robert W. Heath 7.1k citations
- 3 Georgios B. Giannakis 4.6k citations
- 4 Andreas F. Molisch 4.3k citations
- 5 Mérouane Debbah 4.3k citations
- 6 Yonina C. Eldar 4k citations
- 7 Jerry M. Mendel 4k citations
- 8 Petre Stoica 3.8k citations
- 9 Lihua Xie 3.2k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Direction-of-Arrival Estimation Techniques research done?
The largest centres of Direction-of-Arrival Estimation Techniques research in 2022–2025 are Beijing (China), Xi'an (China), Nanjing (China) and Chengdu (China). Among places with at least 20 works in it, it is an unusually large share of all research in Xi'an, Harbin and Chengdu.
Largest cities, 2022–2025
Where it is the local speciality
- Xi'anCN · 172.9 works11×
- HarbinCN · 71.1 works9.0×
- ChengduCN · 92.5 works7.0×
- NanjingCN · 125.5 works6.4×
- ChangshaCN · 47.6 works4.9×
Location quotient: how much more of its research is in Direction-of-Arrival Estimation Techniques than the world average.
Where is the best place to study Direction-of-Arrival Estimation Techniques?
Among universities, judged by research, Xidian University, Southeast 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.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Xidian University China | 80.1 | 35.4% | 45.3× | 66 | +7.5% |
| 2 | Southeast University China | 76.5 | 26.6% | 9.4× | 25 | +363.5% |
| 3 | University of Electronic Science and Technology of China China | 76.4 | 25.9% | 30.2× | 67 | +57.2% |
| 4 | National University of Defense Technology China | 74.3 | 35.7% | 26.0× | 40 | +52.0% |
| 5 | Shenzhen University China | 63.0 | 25.7% | 7.4× | 11 | +837.6% |
| 6 | Air Force Engineering University China | 62.2 | 28.8% | 92.2× | 27 | +11.9% |
| 7 | Northwestern Polytechnical University China | 61.1 | 19.9% | 15.9× | 36 | -5.7% |
| 8 | Nanjing University of Science and Technology China | 58.9 | 20.0% | 17.8× | 29 | +15.9% |
| 9 | Hainan University China | 58.4 | 25.2% | 14.1× | 12 | — |
| 10 | Harbin Institute of Technology China | 58.3 | 22.1% | 8.1× | 26 | +73.3% |
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 Direction-of-Arrival Estimation Techniques research growing?
Output in 2018–2022 was 13% higher than in 2013–2017, peaking in 2002. The fastest-growing topics are Direction-of-Arrival Estimation Techniques.
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.