Science Explorer Interactive view Map
Topic · Computer Networks and Communications

Sensor Technology and Measurement Systems

Sensor Technology and Measurement Systems is a research topic within Computer Networks and Communications. Science Explorer counts 44k research works in it since 1950. 5.8% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the IEEE 1451 standard and its application in networked smart transducer interface, covering topics such as smart sensors, resolver-to-digital conversion, capacitive sensors, neural networks, sensor networking, microcontroller interfaces, absolute encoders, and artificial neural networks.

  • IEEE 1451
  • Smart Sensors
  • Transducer Interface Standards
  • Resolver-to-Digital Conversion
  • Capacitive Sensors
  • Neural Networks
  • Sensor Networking
  • Microcontroller Interfaces
  • Absolute Encoders
  • Artificial Neural Networks
Research works
44k
fractional, since 1950
In the world top 10%
2.5k
per year above
Top-10% rate
5.8%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
-8%
the tick is no change

Which countries lead Sensor Technology and Measurement Systems research?

By volume, China and the United States publish the most (1.3k and 554 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 1.3k works
  2. 2 United States 554 works
  3. 3 India 433 works
  4. 4 Russia 307 works
  5. 5 Germany 246 works
  6. 6 Italy 161 works
  7. 7 Japan 135 works
  8. 8 United Kingdom 121 works
  9. 9 Ukraine 106 works
  10. 10 Indonesia 103 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: 37.1%United States: 16.1%India: 12.6%Russia: 8.9%6 others listed: 25.3%37%largest
China1,277 · 37.1%United States554 · 16.1%India433 · 12.6%Russia307 · 8.9%6 others listed873 · 25.3%

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

Which institutions lead Sensor Technology and Measurement Systems research?

By volume in 2022–2025, Tsinghua University publishes the most Sensor Technology and Measurement Systems research, followed by Harbin Institute of Technology and Huazhong University of Science and Technology.

By volume, 2022–2025

  1. 1 Tsinghua University China 31 works
  2. 2 Harbin Institute of Technology China 31 works
  3. 3 Huazhong University of Science and Technology China 28 works
  4. 4 University of Electronic Science and Technology of China China 24 works
  5. 5 Xi'an Jiaotong University China 23 works
  6. 6 Shanghai Jiao Tong University China 22 works
  7. 7 Southeast University China 21 works
  8. 8 Beihang University China 21 works
  9. 9 Xidian University China 20 works
  10. 10 Maltepe University Türkiye 19 works

Where is Sensor Technology and Measurement Systems research done?

The largest centres of Sensor Technology and Measurement Systems research in 2022–2025 are Beijing (China), Shanghai (China), Xi'an (China) and Moscow (Russia). Among places with at least 20 works in it, it is an unusually large share of all research in Braunschweig.

Largest cities, 2022–2025

  1. 1 Beijing China 273 works
  2. 2 Shanghai China 103 works
  3. 3 Xi'an China 94 works
  4. 4 Moscow Russia 94 works
  5. 5 Wuhan China 70 works
  6. 6 Nanjing China 68 works
  7. 7 Chengdu China 62 works
  8. 8 Saint Petersburg Russia 60 works
  9. 9 Hangzhou China 46 works
  10. 10 Harbin China 46 works

Where it is the local speciality

  1. BraunschweigDE · 23.2 works12×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Sensor Technology and Measurement Systems than the world average.

See Sensor Technology and Measurement Systems on the map

Where is the best place to study Sensor Technology and Measurement Systems?

Among universities, judged by research, Sharif University of Technology, Concordia University and Technical University of Sofia 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 7.83%fractional works in this node (log) →share in the world top 10% →Sharif University of Technology: 10, 18.2%Concordia University: 15, 7.6%Technical University of Sofia: 18, 3.7%Universitat Politècnica de Catalunya: 9, 24.4%Tashkent State Technical University named after Islam Karimov: 12, 12.2%Moscow Power Engineering Institute: 13, 1.3%Peter the Great St. Petersburg Polytechnic University: 12, 1.4%Czech Technical University in Prague: 12, 8.4%Saint Petersburg State Electrotechnical University: 12, 0.0%University of Nis: 16, 1.1%Universitat Politècn…Sharif University of…Concordia UniversityTechnical University…
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
1Sharif University of Technology Iran 65.718.2%10.0×10 +101.5%
2Concordia University Canada 58.47.6%10.3×15 +61.2%
3Technical University of Sofia Bulgaria 57.73.7%25.8×18 +178.9%
4Universitat Politècnica de Catalunya Spain 56.524.4%5.8×9 -19.6%
5Tashkent State Technical University named after Islam Karimov Uzbekistan 54.912.2%30.6×12 —
6Moscow Power Engineering Institute Russia 51.01.3%17.4×13 +208.2%
7Peter the Great St. Petersburg Polytechnic University Russia 51.01.4%11.0×12 +516.3%
8Czech Technical University in Prague Czechia 50.78.4%10.4×12 -13.3%
9Saint Petersburg State Electrotechnical University Russia 48.20.0%25.7×12 +607.6%
10University of Nis Serbia 47.01.1%18.8×16 +36.4%

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 Sensor Technology and Measurement Systems research growing?

Output in 2018–2022 was 8% lower than in 2013–2017, peaking in 2024.

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.