Science Explorer Interactive view Map

Interconnection Networks and Systems

Interconnection Networks and Systems is a research topic within Computer Networks and Communications. Science Explorer counts 42k research works in it since 1952. 16.0% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the design, architecture, and optimization of Networks on Chip (NoC) within System-on-Chip (SoC) designs. It covers topics such as interconnection networks, routing algorithms, performance evaluation, power optimization, wireless interconnects, fault tolerance, and multi-core processors.

  • Networks on Chip
  • Interconnection Networks
  • System-on-Chip
  • NoC Architecture
  • Routing Algorithms
  • Performance Evaluation
  • Power Optimization
  • Wireless Interconnects
  • Fault Tolerance
  • Multi-core Processors
Research works
42k
fractional, since 1952
In the world top 10%
6.7k
per year above
Top-10% rate
16.0%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
-28%
the tick is no change

Which countries lead Interconnection Networks and Systems research?

By volume, China and the United States publish the most (1k and 500 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 1k works
  2. 2 United States 500 works
  3. 3 India 445 works
  4. 4 Germany 162 works
  5. 5 Japan 136 works
  6. 6 South Korea 100 works
  7. 7 France 93 works
  8. 8 Canada 78 works
  9. 9 United Kingdom 70 works
  10. 10 Brazil 69 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: 38.8%United States: 18.5%India: 16.5%Germany: 6.0%6 others listed: 20.2%39%largest
China1,048 · 38.8%United States500 · 18.5%India445 · 16.5%Germany162 · 6.0%6 others listed545 · 20.2%

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

Which institutions lead Interconnection Networks and Systems research?

By volume in 2022–2025, National University of Defense Technology publishes the most Interconnection Networks and Systems research, followed by Tsinghua University and Xinjiang University.

Who are the leading researchers in Interconnection Networks and Systems?

The most-cited researchers publishing on Interconnection Networks and Systems include Ion Stoica, Hari Balakrishnan and David A. Patterson.

  1. 1 Ion Stoica United States 9.6k citations
  2. 2 Hari Balakrishnan United States 5.5k citations
  3. 3 David A. Patterson United States 5.1k citations
  4. 4 Luca Benini Italy 4.6k citations

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

Where is Interconnection Networks and Systems research done?

The largest centres of Interconnection Networks and Systems research in 2022–2025 are Beijing (China), Shanghai (China), Changsha (China) and Nanjing (China). Among places with at least 20 works in it, it is an unusually large share of all research in Santa Clara, Xining and Ürümqi.

Largest cities, 2022–2025

  1. 1 Beijing China 235 works
  2. 2 Shanghai China 77 works
  3. 3 Changsha China 65 works
  4. 4 Nanjing China 63 works
  5. 5 Xi'an China 62 works
  6. 6 Seoul South Korea 56 works
  7. 7 Tokyo Japan 53 works
  8. 8 Bengaluru India 49 works
  9. 9 Chennai India 43 works
  10. 10 Guangzhou China 40 works

Where it is the local speciality

  1. Santa ClaraUS · 22.9 works25×
  2. XiningCN · 21.8 works21×
  3. ÜrümqiCN · 29.9 works8.0×
← less than its size predictsmore →

Location quotient: how much more of its research is in Interconnection Networks and Systems than the world average.

See Interconnection Networks and Systems on the map

Where is the best place to study Interconnection Networks and Systems?

Among universities, judged by research, Beijing University of Posts and Telecommunications, Xidian University and National University of Defense Technology 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 18.81%fractional works in this node (log) →share in the world top 10% →Beijing University of Posts and Telecommunications: 26, 24.9%Xidian University: 24, 23.7%National University of Defense Technology: 41, 13.9%ETH Zurich: 18, 17.6%Fujian Normal University: 16, 15.7%Qinghai Normal University: 16, 7.5%Tsinghua University: 36, 20.1%Nanjing University of Posts and Telecommunications: 12, 22.8%Georgia Institute of Technology: 15, 18.0%Chinese University of Hong Kong: 10, 23.9%Beijing University o…Xidian UniversityETH ZurichNational 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 Beijing University of Posts and TelecommunicationsChina 74.424.9%12.1×26 +27.1%
2 Xidian UniversityChina 67.723.7%9.4×24 -25.7%
3 National University of Defense TechnologyChina 62.113.9%15.2×41 -37.7%
4 ETH ZurichSwitzerland 60.217.6%7.6×18 +17.2%
5 Fujian Normal UniversityChina 59.415.7%20.7×16 +37.3%
6 Qinghai Normal UniversityChina 57.97.5%86.3×16 +195.6%
7 Tsinghua UniversityChina 57.320.1%5.3×36 -29.8%
8 Nanjing University of Posts and TelecommunicationsChina 53.622.8%8.0×12 -22.8%
9 Georgia Institute of TechnologyUnited States 50.518.0%7.1×15 -18.9%
10 Chinese University of Hong KongHong Kong 50.123.9%4.3×10 -41.5%

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 Interconnection Networks and Systems research growing?

Output in 2018–2022 was 28% lower than in 2013–2017, peaking in 2002.

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.