Science Explorer Interactive view Map

Advanced Signal Processing Techniques

Advanced Signal Processing Techniques is a research topic within Electrical and Electronic Engineering. Science Explorer counts 3.5k research works in it since 1950. 5.4% of them reached the world's top 10% most cited for their field and year.

This cluster of papers encompasses a wide range of topics in the field of telecommunication engineering and network management. It includes research on digital broadcasting, power amplifier efficiency, global navigation satellite systems, information communication networks, signal processing, spectral efficiency, IoT applications, and wireless communication.

  • Telecommunication Engineering
  • Network Management
  • Digital Broadcasting
  • Power Amplifier Efficiency
  • Global Navigation Satellite Systems
  • Information Communication Networks
  • Signal Processing
  • Spectral Efficiency
  • IoT Applications
  • Wireless Communication
Research works
3.5k
fractional, since 1950
In the world top 10%
188
per year above
Top-10% rate
5.4%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+171%
the tick is no change

Which countries lead Advanced Signal Processing Techniques research?

By volume, Russia and Ukraine publish the most (448 and 112 works in 2022–2025).

By volume, 2022–2025

  1. 1 Russia 448 works
  2. 2 Ukraine 112 works
  3. 3 United States 41 works
  4. 4 China 28 works
  5. 5 Uzbekistan 23 works
  6. 6 India 21 works
  7. 7 Kazakhstan 18 works
  8. 8 Belarus 17 works
  9. 9 Bulgaria 12 works
  10. 10 Azerbaijan 11 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.

Russia: 61.3%Ukraine: 15.3%United States: 5.6%China: 3.8%6 others listed: 14.0%61%largest
Russia448 · 61.3%Ukraine112 · 15.3%United States41 · 5.6%China28 · 3.8%6 others listed102 · 14.0%

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

Which institutions lead Advanced Signal Processing Techniques research?

By volume in 2022–2025, Moscow Technical University of Communication and Informatics publishes the most Advanced Signal Processing Techniques research, followed by Saint-Petersburg State University of Telecommunications and Moscow Aviation Institute.

Where is Advanced Signal Processing Techniques research done?

The largest centres of Advanced Signal Processing Techniques research in 2022–2025 are Moscow (Russia), Saint Petersburg (Russia), Kyiv (Ukraine) and Kharkiv (Ukraine).

Largest cities, 2022–2025

  1. 1 Moscow Russia 170 works
  2. 2 Saint Petersburg Russia 63 works
  3. 3 Kyiv Ukraine 37 works
  4. 4 Kharkiv Ukraine 26 works
  5. 5 Tashkent Uzbekistan 17 works
  6. 6 Minsk Belarus 14 works
  7. 7 Kazan’ Russia 14 works
  8. 8 Rostov-on-Don Russia 13 works
  9. 9 Samara Russia 12 works
  10. 10 Voronezh Russia 11 works
See Advanced Signal Processing Techniques on the map

Where is the best place to study Advanced Signal Processing Techniques?

Among universities, judged by research, Moscow Technical University of Communication and Informatics, Peter the Great St. Petersburg Polytechnic University and Saint Petersburg State University of Aerospace and Instrumentation 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.

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 Advanced Signal Processing Techniques research growing?

Output in 2018–2022 was 171% higher than in 2013–2017, peaking in 2020. The fastest-growing topics are Advanced Signal Processing 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.