Science Explorer Interactive view Map

Calibration and Measurement Techniques

Calibration and Measurement Techniques is a research topic within Aerospace Engineering. Science Explorer counts 25k research works in it since 1950. 27.2% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the radiometric calibration and performance monitoring of satellite sensors, particularly in relation to reflective solar bands and emissivity measurements. It also covers topics such as on-orbit performance, thermometry, and absolute radiometric calibration for climate monitoring purposes.

  • Radiometric Calibration
  • On-Orbit Performance
  • Satellite Sensors
  • Reflective Solar Bands
  • Calibration Stability
  • Emissivity Measurements
  • Thermometry
  • Absolute Radiometric Calibration
  • Spectral Irradiance
  • Climate Monitoring
Research works
25k
fractional, since 1950
In the world top 10%
6.7k
per year above
Top-10% rate
27.2%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
-6%
the tick is no change

Which countries lead Calibration and Measurement Techniques research?

By volume, China and the United States publish the most (703 and 469 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 703 works
  2. 2 United States 469 works
  3. 3 Russia 182 works
  4. 4 France 136 works
  5. 5 Germany 118 works
  6. 6 Italy 88 works
  7. 7 Japan 71 works
  8. 8 United Kingdom 64 works
  9. 9 India 63 works
  10. 10 Spain 47 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: 36.2%United States: 24.2%Russia: 9.4%France: 7.0%6 others listed: 23.2%36%largest
China703 · 36.2%United States469 · 24.2%Russia182 · 9.4%France136 · 7.0%6 others listed452 · 23.2%

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

Which institutions lead Calibration and Measurement Techniques research?

By volume in 2022–2025, Chinese Academy of Sciences publishes the most Calibration and Measurement Techniques research, followed by Goddard Space Flight Center and University of Chinese Academy of Sciences.

Who are the leading researchers in Calibration and Measurement Techniques?

The most-cited researchers publishing on Calibration and Measurement Techniques include E. L. Wright, J. Albert and C. L. Bennett.

  1. 1 E. L. Wright United States 9.3k citations
  2. 2 J. Albert United Kingdom 9k citations
  3. 3 C. L. Bennett United States 7.4k citations
  4. 4 Edward J. Wollack United States 7.2k citations
  5. 5 A. Amorim France 6.1k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

Where is Calibration and Measurement Techniques research done?

The largest centres of Calibration and Measurement Techniques research in 2022–2025 are Beijing (China), Moscow (Russia), Paris (France) and Shanghai (China). Among places with at least 20 works in it, it is an unusually large share of all research in Greenbelt and Pasadena.

Largest cities, 2022–2025

  1. 1 Beijing China 234 works
  2. 2 Moscow Russia 71 works
  3. 3 Paris France 47 works
  4. 4 Shanghai China 46 works
  5. 5 Xi'an China 46 works
  6. 6 Hefei China 40 works
  7. 7 Greenbelt United States 38 works
  8. 8 Nanjing China 34 works
  9. 9 Changchun China 32 works
  10. 10 Harbin China 28 works

Where it is the local speciality

  1. GreenbeltUS · 38.0 works170×
  2. PasadenaUS · 25.5 works25×
← less than its size predictsmore →

Location quotient: how much more of its research is in Calibration and Measurement Techniques than the world average.

See Calibration and Measurement Techniques on the map

Where is the best place to study Calibration and Measurement Techniques?

Among universities, judged by research, Henan Normal University, University of Chinese Academy of Sciences and Aerospace Information Research Institute 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%25%50%mean 31.11%fractional works in this node (log) →share in the world top 10% →Henan Normal University: 9, 57.9%University of Chinese Academy of Sciences: 30, 33.7%Aerospace Information Research Institute: 8, 30.4%University of Arizona: 16, 11.6%Beihang University: 14, 34.3%Harbin Institute of Technology: 18, 32.1%University of Science and Technology of China: 15, 15.4%Changchun University of Science and Technology: 9, 17.8%National University of Defense Technology: 8, 36.4%University of Electronic Science and Technology of China: 10, 41.5%Henan Normal Univers…University of Chines…Aerospace Informatio…University of Arizona
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1 Henan Normal UniversityChina 71.557.9%18.5×9 +152.3%
2 University of Chinese Academy of SciencesChina 54.733.7%7.7×30 -7.8%
3 Aerospace Information Research InstituteChina 47.430.4%30.0×8
4 University of ArizonaUnited States 41.711.6%10.5×16 -23.3%
5 Beihang UniversityChina 40.734.3%5.6×14 +26.2%
6 Harbin Institute of TechnologyChina 39.432.1%4.7×18 +27.3%
7 University of Science and Technology of ChinaChina 38.815.4%5.5×15 +126.8%
8 Changchun University of Science and TechnologyChina 34.317.8%17.1×9 -58.1%
9 National University of Defense TechnologyChina 32.336.4%4.7×8 +43.6%
10 University of Electronic Science and Technology of ChinaChina 32.241.5%4.0×10 -17.8%

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 Calibration and Measurement Techniques research growing?

Output in 2018–2022 was 6% lower than in 2013–2017, peaking in 2018. The fastest-growing topics are Calibration and Measurement Techniques.

19801990200020102020
grewheldshrank

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.