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Topic · Electrical and Electronic Engineering

VLSI and FPGA Design Techniques

VLSI and FPGA Design Techniques is a research topic within Electrical and Electronic Engineering. Science Explorer counts 21k research works in it since 1950. 15.1% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the design, optimization, and challenges of field-programmable gate arrays (FPGAs) and application-specific integrated circuits (ASICs). It covers topics such as FPGA architecture, analog circuit design, graph partitioning for parallel computing, power optimization, CMOS design, and dynamic load balancing in computational mechanics.

  • FPGA
  • ASIC
  • Placement
  • Routing
  • Analog Circuits
  • Graph Partitioning
  • Power Optimization
  • CMOS Design
  • Dynamic Load Balancing
  • Geometric Programming
Research works
21k
fractional, since 1950
In the world top 10%
3.2k
per year above
Top-10% rate
15.1%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
-20%
the tick is no change

Which countries lead VLSI and FPGA Design Techniques research?

By volume, China and the United States publish the most (480 and 336 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 480 works
  2. 2 United States 336 works
  3. 3 India 319 works
  4. 4 Germany 88 works
  5. 5 South Korea 73 works
  6. 6 Taiwan 68 works
  7. 7 Japan 62 works
  8. 8 Canada 51 works
  9. 9 Russia 44 works
  10. 10 France 41 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: 30.8%United States: 21.5%India: 20.4%Germany: 5.6%6 others listed: 21.6%31%largest
China480 · 30.8%United States336 · 21.5%India319 · 20.4%Germany88 · 5.6%6 others listed338 · 21.6%

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

Which institutions lead VLSI and FPGA Design Techniques research?

By volume in 2022–2025, Fudan University publishes the most VLSI and FPGA Design Techniques research, followed by Chinese University of Hong Kong and Tsinghua University.

By volume, 2022–2025

  1. 1 Fudan UniversityChina 28 works
  2. 2 Chinese University of Hong KongHong Kong 20 works
  3. 3 Tsinghua UniversityChina 19 works
  4. 4 Peking UniversityChina 19 works
  5. 5 Southeast UniversityChina 19 works
  6. 6 Georgia Institute of TechnologyUnited States 14 works
  7. 7 Seoul National UniversitySouth Korea 13 works
  8. 8 Xidian UniversityChina 13 works
  9. 9 Shanghai Jiao Tong UniversityChina 13 works
  10. 10 Samsung (South Korea)South Korea 12 works

Who are the leading researchers in VLSI and FPGA Design Techniques?

The most-cited researchers publishing on VLSI and FPGA Design Techniques include Luca Benini.

  1. 1 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 VLSI and FPGA Design Techniques research done?

The largest centres of VLSI and FPGA Design Techniques research in 2022–2025 are Beijing (China), Shanghai (China), Seoul (South Korea) and Nanjing (China). Among places with at least 20 works in it, it is an unusually large share of all research in Santa Clara and Hsinchu.

Largest cities, 2022–2025

  1. 1 Beijing China 107 works
  2. 2 Shanghai China 70 works
  3. 3 Seoul South Korea 44 works
  4. 4 Nanjing China 34 works
  5. 5 Hong Kong China 31 works
  6. 6 Chennai India 29 works
  7. 7 Bengaluru India 28 works
  8. 8 Hsinchu Taiwan 25 works
  9. 9 Xi'an China 24 works
  10. 10 Moscow Russia 23 works

Where it is the local speciality

  1. Santa ClaraUS · 21.7 works43×
  2. HsinchuTW · 24.9 works15×
← less than its size predicts1×more →

Location quotient: how much more of its research is in VLSI and FPGA Design Techniques than the world average.

See VLSI and FPGA Design Techniques on the map

Where is the best place to study VLSI and FPGA Design Techniques?

Among universities, judged by research, Chinese University of Hong Kong, The University of Texas at Austin and Fudan 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 13.32%fractional works in this node (log) →share in the world top 10% →Chinese University of Hong Kong: 20, 20.8%The University of Texas at Austin: 11, 26.5%Fudan University: 28, 6.1%National Taiwan University: 11, 13.3%Amrita Vishwa Vidyapeetham: 9, 14.7%Southeast University: 19, 7.3%Georgia Institute of Technology: 14, 10.6%Peking University: 19, 12.6%Tsinghua University: 19, 14.7%Seoul National University: 13, 6.6%The University of Te…Chinese University o…National Taiwan Univ…Fudan 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 Chinese University of Hong KongHong Kong 74.820.8%14.5×20 -21.6%
2 The University of Texas at AustinUnited States 57.026.5%6.9×11 +10.8%
3 Fudan UniversityChina 56.56.1%12.8×28 -12.3%
4 National Taiwan UniversityTaiwan 50.813.3%11.5×11 -21.1%
5 Amrita Vishwa VidyapeethamIndia 50.714.7%8.7×9 +94.6%
6 Southeast UniversityChina 50.27.3%7.0×19 +101.0%
7 Georgia Institute of TechnologyUnited States 48.510.6%11.3×14 -43.8%
8 Peking UniversityChina 44.912.6%6.2×19 -19.7%
9 Tsinghua UniversityChina 40.214.7%4.9×19 -69.4%
10 Seoul National UniversitySouth Korea 38.86.6%8.3×13 -40.8%

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 VLSI and FPGA Design Techniques research growing?

Output in 2018–2022 was 20% 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.