Science Explorer Interactive view Map

Power Line Communications and Noise

Power Line Communications and Noise is a research topic within Electrical and Electronic Engineering. Science Explorer counts 27k research works in it since 1950. 10.1% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the use of power line communications in smart grid applications, addressing topics such as impulsive noise, broadband channel modeling, spectrum balancing, and the impact of multipath effects on OFDM systems. It also explores techniques for noise mitigation and optimization of digital subscriber lines in the context of power line communications.

  • Power Line Communications
  • Smart Grid
  • Impulsive Noise
  • Broadband
  • Channel Modeling
  • Spectrum Balancing
  • Digital Subscriber Lines
  • Multipath Effects
  • OFDM Systems
  • Noise Mitigation
Research works
27k
fractional, since 1950
In the world top 10%
2.7k
per year above
Top-10% rate
10.1%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
-11%
the tick is no change

Which countries lead Power Line Communications and Noise research?

By volume, China and the United States publish the most (875 and 329 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 875 works
  2. 2 United States 329 works
  3. 3 India 309 works
  4. 4 Brazil 272 works
  5. 5 Germany 155 works
  6. 6 Japan 117 works
  7. 7 Italy 90 works
  8. 8 United Kingdom 88 works
  9. 9 France 78 works
  10. 10 South Korea 77 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: 36.6%United States: 13.8%India: 12.9%Brazil: 11.4%6 others listed: 25.3%37%largest
China875 · 36.6%United States329 · 13.8%India309 · 12.9%Brazil272 · 11.4%6 others listed605 · 25.3%

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

Which institutions lead Power Line Communications and Noise research?

By volume in 2022–2025, China Southern Power Grid (China) publishes the most Power Line Communications and Noise research, followed by Beijing University of Posts and Telecommunications and State Grid Corporation of China (China).

Who are the leading researchers in Power Line Communications and Noise?

The most-cited researchers publishing on Power Line Communications and Noise include H. Vincent Poor, A. S. Cerqueira and Mohamed‐Slim Alouini.

  1. 1 H. Vincent Poor United States 9.5k citations
  2. 2 A. S. Cerqueira United States 6.8k citations
  3. 3 Mohamed‐Slim Alouini Saudi Arabia 5.9k citations
  4. 4 Xuemin Shen Canada 5.1k citations
  5. 5 Zhu Han United States 4.7k citations
  6. 6 Georgios B. Giannakis United States 4.6k citations
  7. 7 Andreas F. Molisch United States 4.3k citations

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

Where is Power Line Communications and Noise research done?

The largest centres of Power Line Communications and Noise research in 2022–2025 are Beijing (China), Nanjing (China), Shanghai (China) and Tokyo (Japan).

Largest cities, 2022–2025

  1. 1 Beijing China 247 works
  2. 2 Nanjing China 62 works
  3. 3 Shanghai China 61 works
  4. 4 Tokyo Japan 60 works
  5. 5 Guangzhou China 59 works
  6. 6 Xi'an China 56 works
  7. 7 Chengdu China 42 works
  8. 8 Wuhan China 33 works
  9. 9 Seoul South Korea 32 works
  10. 10 Bengaluru India 32 works
See Power Line Communications and Noise on the map

Where is the best place to study Power Line Communications and Noise?

Among universities, judged by research, Beijing Jiaotong University, Beijing University of Posts and Telecommunications and Universidade Federal de Juiz de Fora 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%5%10%mean 5.29%fractional works in this node (log) →share in the world top 10% →Beijing Jiaotong University: 23, 10.3%Beijing University of Posts and Telecommunications: 32, 5.8%Universidade Federal de Juiz de Fora: 15, 0.9%North China Electric Power University: 22, 3.8%Southeast University: 17, 10.4%Technische Universität Braunschweig: 8, 6.0%University of Electronic Science and Technology of China: 23, 7.1%Xidian University: 16, 8.6%Universidade Federal do ABC: 9, 0.0%Universidade Federal de Santa Maria: 12, 0.0%Beijing Jiaotong Uni…Beijing University o…North China Electric…Universidade Federal…
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 Beijing Jiaotong UniversityChina 66.210.3%11.0×23 -0.2%
2 Beijing University of Posts and TelecommunicationsChina 59.85.8%15.3×32 -9.2%
3 Universidade Federal de Juiz de ForaBrazil 52.40.9%17.2×15 +206.3%
4 North China Electric Power UniversityChina 48.23.8%9.9×22 -39.1%
5 Southeast UniversityChina 48.110.4%3.7×17 +31.1%
6 Technische Universität BraunschweigGermany 47.76.0%11.6×8 +26.6%
7 University of Electronic Science and Technology of ChinaChina 47.37.1%6.1×23 -21.3%
8 Xidian UniversityChina 46.18.6%6.3×16 -12.7%
9 Universidade Federal do ABCBrazil 43.60.0%18.6×9 +147.5%
10 Universidade Federal de Santa MariaBrazil 43.20.0%8.7×12 +252.7%

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 Power Line Communications and Noise research growing?

Output in 2018–2022 was 11% lower than in 2013–2017, peaking in 2002. The fastest-growing topics are Power Line Communications and Noise.

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.