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Topic · Signal Processing

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. 9.8% 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%
1.3k
per year above
Top-10% rate
9.8%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
-3%
the tick is no change
Largest producer
China
69% of the 10 largest, 2022-now
Direction-of-Arrival Estimation Techniques

Which countries lead Direction-of-Arrival Estimation Techniques research?

By volume, China and the United States publish the most (1.5k and 199 works in 2022-now).

By volume, 2022-now

  1. 1 China 1.5k works
  2. 2 United States 199 works
  3. 3 India 110 works
  4. 4 Germany 62 works
  5. 5 United Kingdom 62 works
  6. 6 France 51 works
  7. 7 Japan 51 works
  8. 8 South Korea 50 works
  9. 9 Russia 44 works
  10. 10 Italy 42 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: 69.4%United States: 9.1%India: 5.0%Germany: 2.8%6 others listed: 13.7%69%largest
China1,522 · 69.4%United States199 · 9.1%India110 · 5.0%Germany62 · 2.8%6 others listed300 · 13.7%

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

Which institutions lead Direction-of-Arrival Estimation Techniques research?

By volume in 2022-now, University of Electronic Science and Technology of China publishes the most Direction-of-Arrival Estimation Techniques research, followed by Xidian University and Chinese Academy of Sciences.

By volume, 2022-now

  1. 1 University of Electronic Science and Technology of ChinaChina 81 works
  2. 2 Xidian UniversityChina 77 works
  3. 3 Chinese Academy of SciencesChina 56 works
  4. 4 National University of Defense TechnologyChina 53 works
  5. 5 Harbin Engineering UniversityChina 48 works
  6. 6 Northwestern Polytechnical UniversityChina 44 works
  7. 7 Beijing Institute of TechnologyChina 43 works
  8. 8 Nanjing University of Aeronautics and AstronauticsChina 42 works
  9. 9 Southeast UniversityChina 36 works
  10. 10 Harbin Institute of TechnologyChina 35 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, Han Zhang and Stephen Boyd.

  1. 1 H. Vincent Poor United States 165k citations
  2. 2 Han Zhang China 161k citations
  3. 3 Stephen Boyd United States 142k citations
  4. 4 Y. Zhang France 126k citations
  5. 5 Hao Chen China 118k 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 Direction-of-Arrival Estimation Techniques?

The most cited paper in Direction-of-Arrival Estimation Techniques is "ESPRIT-estimation of signal parameters via rotational invariance techniques" (R. Roy, T. Kailath, 1989), with 7,295 citations. Next come "Two decades of array signal processing research: the parametric approach" (4,756) and "Adaptive noise cancelling: Principles and applications" (3,948).

Most cited papers
#PaperReleasedCitations
1 ESPRIT-estimation of signal parameters via rotational invariance techniques R. Roy, T. Kailath · IEEE Transactions on Acoustics Speech and Signal Processing Jul 1989 7,295
2 Two decades of array signal processing research: the parametric approach Hamid Krim, Mats Viberg · IEEE Signal Processing Magazine Jul 1996 4,756
3 Adaptive noise cancelling: Principles and applications Bernard Carlos Widrow, John R. Glover, J. McCool et al. · Proceedings of the IEEE 1975 3,948
4 Beamforming: a versatile approach to spatial filtering B.D. Van Veen, K.M. Buckley · IEEE ASSP Magazine Apr 1988 3,907
5 The expectation-maximization algorithm Todd K. Moon · IEEE Signal Processing Magazine 1996 3,235
All 99 most cited papers, with filters and sorting

Where is Direction-of-Arrival Estimation Techniques research done?

The largest centres of Direction-of-Arrival Estimation Techniques research in 2022-now 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-now

  1. 1 BeijingChina 265 works
  2. 2 Xi'anChina 209 works
  3. 3 NanjingChina 153 works
  4. 4 ChengduChina 114 works
  5. 5 HarbinChina 91 works
  6. 6 ShanghaiChina 67 works
  7. 7 ChangshaChina 62 works
  8. 8 HangzhouChina 54 works
  9. 9 WuhanChina 44 works
  10. 10 ShenzhenChina 38 works

Where it is the local speciality

  1. Xi'anCN · 209.0 works11×
  2. HarbinCN · 90.7 works9.0×
  3. ChengduCN · 113.8 works6.8×
  4. NanjingCN · 153.1 works6.2×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Direction-of-Arrival Estimation Techniques than the world average.

See Direction-of-Arrival Estimation Techniques on the map

Where is the best place to study Direction-of-Arrival Estimation Techniques?

Among universities, judged by research, Southeast University, Xidian University and Zhejiang 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%10%20%30%mean 15.53%fractional works in this field (log) →share of work in the world top 10% →Zhejiang UniversitySoutheast UniversityUniversity of Electr…Xidian University
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 70.818.0%11.1×36 +55.2%
2Xidian UniversityChina 62.710.1%48.2×77 +1.6%
3Zhejiang UniversityChina 60.519.3%4.0×24 +50.1%
4University of Electronic Science and Technology of ChinaChina 59.711.5%32.6×81 -24.8%
5University of Science and Technology of ChinaChina 54.425.2%4.8×12 -17.2%
6Nanjing University of Science and TechnologyChina 54.210.3%18.3×33 +51.3%
7Beijing University of Posts and TelecommunicationsChina 54.113.4%18.1×26 +119.9%
8Xi'an Jiaotong UniversityChina 53.522.2%4.8×19 +14.1%
9Delft University of TechnologyNetherlands 52.514.5%6.3×9 +26.8%
10Nanjing University of Aeronautics and AstronauticsChina 50.910.8%21.4×42 -11.8%

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 Direction-of-Arrival Estimation Techniques, country by country

Is Direction-of-Arrival Estimation Techniques research growing?

Output in 2022-2025 was 3% lower than in 2018-2021, peaking in 2002.

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 Direction-of-Arrival Estimation Techniques as a percentage of every work published that year, 0.0061% in 2024.

still counting0.020%0.040%0.060%Direction-of-Arrival Estimation Techniques0.012% in 202519801990200020102020

Fractional works of Direction-of-Arrival Estimation Techniques 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%Direction-of-Arrival Estimation Techniques9.6% 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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