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Topic · Aerospace Engineering

Inertial Sensor and Navigation

Inertial Sensor and Navigation is a research topic within Aerospace Engineering. Science Explorer counts 31k research works in it since 1950. 9.8% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the development and application of Inertial Navigation Systems (INS) and sensor fusion techniques, including Kalman filtering, attitude estimation, MEMS sensors, magnetic sensing, quaternion-based methods, GPS integration, and motion tracking. The research covers topics such as calibration, accuracy enhancement, real-time estimation, autonomous navigation, and observability analysis.

  • Inertial Navigation Systems
  • Sensor Fusion
  • Kalman Filtering
  • Attitude Estimation
  • MEMS Sensors
  • Magnetic Sensing
  • Quaternion-Based Methods
  • GPS Integration
  • Motion Tracking
  • Observability Analysis
Research works
31k
fractional, since 1950
In the world top 10%
3k
per year above
Top-10% rate
9.8%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+28%
the tick is no change
Largest producer
China
64% of the 10 largest, 2022-now
Inertial Sensor and Navigation

Which countries lead Inertial Sensor and Navigation research?

By volume, China and the United States publish the most (3.2k and 559 works in 2022-now).

By volume, 2022-now

  1. 1 China 3.2k works
  2. 2 United States 559 works
  3. 3 India 251 works
  4. 4 Russia 187 works
  5. 5 Germany 171 works
  6. 6 Italy 155 works
  7. 7 Japan 146 works
  8. 8 South Korea 132 works
  9. 9 United Kingdom 107 works
  10. 10 Türkiye 106 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: 64.0%United States: 11.1%India: 5.0%Russia: 3.7%6 others listed: 16.2%64%largest
China3,221 · 64.0%United States559 · 11.1%India251 · 5.0%Russia187 · 3.7%6 others listed817 · 16.2%

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

Which institutions lead Inertial Sensor and Navigation research?

By volume in 2022-now, Chinese Academy of Sciences publishes the most Inertial Sensor and Navigation research, followed by Beihang University and National University of Defense Technology.

By volume, 2022-now

  1. 1 Chinese Academy of SciencesChina 177 works
  2. 2 Beihang UniversityChina 168 works
  3. 3 National University of Defense TechnologyChina 121 works
  4. 4 Harbin Institute of TechnologyChina 100 works
  5. 5 Beijing Institute of TechnologyChina 88 works
  6. 6 Northwestern Polytechnical UniversityChina 82 works
  7. 7 China Aerospace Science and Technology CorporationChina 78 works
  8. 8 Wuhan UniversityChina 72 works
  9. 9 Nanjing University of Aeronautics and AstronauticsChina 68 works
  10. 10 Harbin Engineering UniversityChina 62 works

Who are the leading researchers in Inertial Sensor and Navigation?

The most-cited researchers publishing on Inertial Sensor and Navigation include Xiaogang Wang, Deepak L. Bhatt and Peter John Barnes.

  1. 1 Xiaogang Wang China 260k citations
  2. 2 Deepak L. Bhatt United States 227k citations
  3. 3 Peter John Barnes United Kingdom 225k citations
  4. 4 Kai You Wang China 224k citations
  5. 5 Hua Zhang Singapore 196k citations
  6. 6 Qiang Zhang China 184k citations
  7. 7 Luc Van Gool Switzerland 177k 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 Inertial Sensor and Navigation?

The most cited paper in Inertial Sensor and Navigation is "Unscented Filtering and Nonlinear Estimation" (Simon Julier, Jeffrey K. Uhlmann, 2004), with 6,611 citations. Next come "New extension of the Kalman filter to nonlinear systems" (5,359) and "A new method for the nonlinear transformation of means and covariances in filters and estimators" (3,749).

Most cited papers
#PaperReleasedCitations
1 Unscented Filtering and Nonlinear Estimation Simon Julier, Jeffrey K. Uhlmann · Proceedings of the IEEE Mar 2004 6,611
2 New extension of the Kalman filter to nonlinear systems Simon Julier, Jeffrey K. Uhlmann · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Conference paper 28 Jul 1997 5,359
3 A new method for the nonlinear transformation of means and covariances in filters and estimators Simon Julier, Jeffrey K. Uhlmann, Hugh F Durrant-Whyte · IEEE Transactions on Automatic Control Mar 2000 3,749
4 Understanding GPS. Principles and applications Michael J. Rycroft · Journal of Atmospheric and Solar-Terrestrial Physics Mar 1997 3,422
5 Survey of maneuvering targettracking . part I: dynamic models X. Rong Li, Vesselin P. Jilkov · IEEE Transactions on Aerospace and Electronic Systems Oct 2003 2,404
All 100 most cited papers, with filters and sorting

Where is Inertial Sensor and Navigation research done?

The largest centres of Inertial Sensor and Navigation research in 2022-now are Beijing (China), Nanjing (China), Xi'an (China) and Wuhan (China). Among places with at least 20 works in it, it is an unusually large share of all research in Harbin.

Largest cities, 2022-now

  1. 1 BeijingChina 862 works
  2. 2 NanjingChina 246 works
  3. 3 Xi'anChina 241 works
  4. 4 WuhanChina 234 works
  5. 5 ShanghaiChina 190 works
  6. 6 HarbinChina 181 works
  7. 7 ChangshaChina 154 works
  8. 8 MoscowRussia 86 works
  9. 9 HangzhouChina 85 works
  10. 10 GuangzhouChina 76 works

Where it is the local speciality

  1. HarbinCN · 181.2 works7.4×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Inertial Sensor and Navigation than the world average.

See Inertial Sensor and Navigation on the map

Where is the best place to study Inertial Sensor and Navigation?

Among universities, judged by research, Hong Kong Polytechnic University, Wuhan University and Beihang 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 21.52%fractional works in this field (log) →share of work in the world top 10% →Hong Kong Polytechni…Wuhan UniversitySoutheast UniversityBeihang 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
1Hong Kong Polytechnic UniversityChina 77.636.7%5.1×24 +128.8%
2Wuhan UniversityChina 76.434.3%9.4×72 +43.7%
3Beihang UniversityChina 69.416.8%28.3×168 +17.0%
4Southeast UniversityChina 61.919.8%7.0×56 +17.2%
5Beijing Institute of TechnologyChina 59.413.6%13.9×88 +33.5%
6National University of Defense TechnologyChina 58.210.1%29.0×121 +27.0%
7Harbin Institute of TechnologyChina 57.010.1%11.4×100 +44.8%
8The Ohio State UniversityUnited States 54.843.0%1.5×10 +331.2%
9Sun Yat-sen UniversityChina 53.915.4%3.6×40 +284.9%
10Northwestern Polytechnical UniversityChina 53.415.4%13.2×82 -2.6%

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 Inertial Sensor and Navigation, country by country

Is Inertial Sensor and Navigation research growing?

Output in 2022-2025 was 28% higher than in 2018-2021, peaking in 2025. The fastest-growing topics are Inertial Sensor and Navigation.

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 Inertial Sensor and Navigation as a percentage of every work published that year, 0.031% in 2024.

still counting0.020%0.040%0.060%Inertial Sensor and Navigation0.031% in 202519801990200020102020

Fractional works of Inertial Sensor and Navigation 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%Inertial Sensor and Navigation9.7% 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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