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High voltage insulation and dielectric phenomena

High voltage insulation and dielectric phenomena is a research topic within Materials Chemistry. Science Explorer counts 38k research works in it since 1950. 7.1% of them reached the world's top 10% most cited for their field and year.

This cluster of papers explores advances in nanocomposite dielectric materials, focusing on polymer nanocomposites, their dielectric properties, interface role, space charge behavior, and applications in electrical insulation and power systems. The research covers topics such as partial discharge detection, electrical breakdown, surface charge accumulation, and the development of eco-friendly gases to replace SF6 in high-voltage applications.

  • Nanocomposites
  • Dielectrics
  • Polymer
  • Partial Discharge
  • Electrical Insulation
  • Space Charge
  • High Voltage
  • Polyethylene
  • Interfaces
  • Power Transformers
Research works
38k
fractional, since 1950
In the world top 10%
2.7k
per year above
Top-10% rate
7.1%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+39%
the tick is no change

Which countries lead High voltage insulation and dielectric phenomena research?

By volume, China and the United States publish the most (3.2k and 431 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 3.2k works
  2. 2 United States 431 works
  3. 3 India 410 works
  4. 4 Japan 235 works
  5. 5 ?? 205 works
  6. 6 Germany 181 works
  7. 7 United Kingdom 162 works
  8. 8 France 140 works
  9. 9 Russia 129 works
  10. 10 Italy 128 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: 61.4%United States: 8.2%India: 7.8%Japan: 4.5%6 others listed: 18.1%61%largest
China3,212 · 61.4%United States431 · 8.2%India410 · 7.8%Japan235 · 4.5%6 others listed945 · 18.1%

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

Which institutions lead High voltage insulation and dielectric phenomena research?

By volume in 2022–2025, Xi'an Jiaotong University publishes the most High voltage insulation and dielectric phenomena research, followed by North China Electric Power University and China Southern Power Grid (China).

Who are the leading researchers in High voltage insulation and dielectric phenomena?

The most-cited researchers publishing on High voltage insulation and dielectric phenomena include Marco Liserre.

  1. 1 Marco Liserre Germany 4.6k citations

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

Where is High voltage insulation and dielectric phenomena research done?

The largest centres of High voltage insulation and dielectric phenomena research in 2022–2025 are Beijing (China), Xi'an (China), Guangzhou (China) and Shanghai (China). Among places with at least 20 works in it, it is an unusually large share of all research in Xi'an, Beijing and Palo Alto.

Largest cities, 2022–2025

  1. 1 Beijing China 636 works
  2. 2 Xi'an China 352 works
  3. 3 Guangzhou China 238 works
  4. 4 Shanghai China 215 works
  5. 5 Chongqing China 175 works
  6. 6 Wuhan China 168 works
  7. 7 Tianjin China 153 works
  8. 8 Harbin China 118 works
  9. 9 Chengdu China 110 works
  10. 10 Nanjing China 104 works

Where it is the local speciality

  1. Xi'an60.8 works125×
  2. Beijing83.3 works30×
  3. Palo AltoUS · 58.9 works27×
  4. YangpuCN · 21.6 works18×
← less than its size predictsmore →

Location quotient: how much more of its research is in High voltage insulation and dielectric phenomena than the world average.

See High voltage insulation and dielectric phenomena on the map

Where is the best place to study High voltage insulation and dielectric phenomena?

Among universities, judged by research, The University of Texas at Dallas, Université du Québec à Chicoutimi and Xi'an Jiaotong 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%10%20%30%mean 10.82%fractional works in this node (log) →share in the world top 10% →The University of Texas at Dallas: 16, 27.2%Université du Québec à Chicoutimi: 18, 25.8%Xi'an Jiaotong University: 261, 5.6%Tianjin University: 112, 4.3%Chongqing University: 130, 6.1%North China Electric Power University: 209, 3.1%Hefei University of Technology: 29, 6.4%Hubei University of Technology: 24, 5.0%Jadavpur University: 16, 11.6%Toyohashi University of Technology: 12, 13.1%The University of Te…Université du Québec…Xi'an Jiaotong Unive…Tianjin 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
1 The University of Texas at DallasUnited States 67.827.2%12.0×16
2 Université du Québec à ChicoutimiCanada 66.525.8%48.8×18 +35.0%
3 Xi'an Jiaotong UniversityChina 61.85.6%24.5×261 +97.1%
4 Tianjin UniversityChina 58.34.3%14.3×112 +141.3%
5 Chongqing UniversityChina 54.96.1%17.9×130 +36.5%
6 North China Electric Power UniversityChina 52.53.1%47.2×209 +24.6%
7 Hefei University of TechnologyChina 50.06.4%7.8×29 +493.8%
8 Hubei University of TechnologyChina 49.75.0%14.7×24 +145.4%
9 Jadavpur UniversityIndia 49.511.6%9.2×16 +91.6%
10 Toyohashi University of TechnologyJapan 48.513.1%32.6×12 +24.0%

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 High voltage insulation and dielectric phenomena research growing?

Output in 2018–2022 was 39% higher than in 2013–2017, peaking in 2022. The fastest-growing topics are High voltage insulation and dielectric phenomena.

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.