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Low-power high-performance VLSI design

Low-power high-performance VLSI design is a research topic within Electrical and Electronic Engineering. Science Explorer counts 36k research works in it since 1950. 9.9% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the design and optimization of low-power VLSI circuits, with an emphasis on techniques such as approximate computing, subthreshold operation, and leakage reduction. The papers also address challenges related to process variation, statistical timing analysis, and energy efficiency in CMOS technology at the nanometer scale.

  • Low-Power
  • VLSI Circuits
  • Approximate Computing
  • Subthreshold Operation
  • Leakage Reduction
  • Process Variation
  • Statistical Timing Analysis
  • Energy Efficiency
  • CMOS Technology
  • Nanometer Scale
Research works
36k
fractional, since 1950
In the world top 10%
3.5k
per year above
Top-10% rate
9.9%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+8%
the tick is no change
Largest producer
India
35% of the 10 largest, 2022-now
Low-power high-performance VLSI design

Which countries lead Low-power high-performance VLSI design research?

By volume, India and China publish the most (1.4k and 955 works in 2022-now).

By volume, 2022-now

  1. 1 India 1.4k works
  2. 2 China 955 works
  3. 3 United States 664 works
  4. 4 South Korea 217 works
  5. 5 Germany 178 works
  6. 6 Japan 135 works
  7. 7 Taiwan 112 works
  8. 8 Italy 111 works
  9. 9 Iran 107 works
  10. 10 Brazil 83 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.

India: 35.5%China: 24.1%United States: 16.7%South Korea: 5.5%6 others listed: 18.3%35%largest
India1,409 · 35.5%China955 · 24.1%United States664 · 16.7%South Korea217 · 5.5%6 others listed726 · 18.3%

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

Which institutions lead Low-power high-performance VLSI design research?

By volume in 2022-now, Chinese Academy of Sciences publishes the most Low-power high-performance VLSI design research, followed by Intel (United States) and Amrita Vishwa Vidyapeetham.

Who are the leading researchers in Low-power high-performance VLSI design?

The most-cited researchers publishing on Low-power high-performance VLSI design include Wei Huang, Kenji Watanabe and Takashi Taniguchi.

  1. 1 Wei Huang China 267k citations
  2. 2 Kenji Watanabe Japan 237k citations
  3. 3 Takashi Taniguchi Japan 227k citations
  4. 4 Kai You Wang China 224k citations
  5. 5 Frede Blaabjerg Denmark 203k citations
  6. 6 Christian Szegedy United States 175k citations

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

What are the most cited papers in Low-power high-performance VLSI design?

The most cited paper in Low-power high-performance VLSI design is "Graph-Based Algorithms for Boolean Function Manipulation" (Bryant, 1986), with 8,956 citations. Next come "Wattch" (2,588) and "McPAT" (2,386).

Most cited papers
#PaperReleasedCitations
1 Graph-Based Algorithms for Boolean Function Manipulation Bryant · IEEE Transactions on Computers Open access Aug 1986 8,956
2 Wattch David M. Brooks, Vivek Tiwari, Margaret Martonosi Conference paper 2000 2,588
3 McPAT Sheng Li, Jung Ho Ahn, Richard D. Strong et al. Conference paper 12 Dec 2009 2,386
4 Electronic spin transport and spin precession in single graphene layers at room temperature Nikolaos Tombros, C. Józsa, M. Popinciuc et al. · Nature Open access 15 Jul 2007 2,383
5 Leakage current mechanisms and leakage reduction techniques in deep-submicrometer CMOS circuits Kaushik Roy, Subhas Chandra Mukhopadhyay, Hamid Mahmoodi · Proceedings of the IEEE Feb 2003 2,369
All 99 most cited papers, with filters and sorting

Where is Low-power high-performance VLSI design research done?

The largest centres of Low-power high-performance VLSI design research in 2022-now are Beijing (China), Seoul (South Korea), Shanghai (China) and Bengaluru (India). Among places with at least 20 works in it, it is an unusually large share of all research in Santa Clara.

Largest cities, 2022-now

  1. 1 BeijingChina 205 works
  2. 2 SeoulSouth Korea 130 works
  3. 3 ShanghaiChina 119 works
  4. 4 BengaluruIndia 109 works
  5. 5 ChennaiIndia 106 works
  6. 6 New DelhiIndia 101 works
  7. 7 CoimbatoreIndia 90 works
  8. 8 HyderabadIndia 88 works
  9. 9 NanjingChina 76 works
  10. 10 Xi'anChina 59 works

Where it is the local speciality

  1. Santa ClaraUS · 43.1 works35×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Low-power high-performance VLSI design than the world average.

See Low-power high-performance VLSI design on the map

Where is the best place to study Low-power high-performance VLSI design?

Among universities, judged by research, Babol Noshirvani University of Technology, Amrita Vishwa Vidyapeetham and Tsinghua 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%25%50%75%mean 17.39%fractional works in this field (log) →share of work in the world top 10% →Babol Noshirvani Uni…Tsinghua UniversityDelhi Technological …Amrita Vishwa Vidyap…
above the meannear itbelow it

One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.

Excellenceshare of its work in the world top 10%, 2022-now and all time averaged
40%
Specialisationhow much of its work is in this field, counted up to 10× the world share
10%
Sizeits output in this field, on a log scale
30%
Growthoutput growth, counted from -20% to +20%
10%
Internationalshare of its work with a co-author abroad
10%
Each slider sets a weight; the share it gets of the score is beside it.
#UniversityScoreTop 10%SpecialisationWorksGrowth
1Babol Noshirvani University of TechnologyIran 63.660.8%24.4×9 +85.1%
2Amrita Vishwa VidyapeethamIndia 53.94.8%21.4×48 +29.2%
3Tsinghua UniversityChina 52.716.8%4.0×39 +83.6%
4Delhi Technological UniversityIndia 52.313.2%29.5×34 +30.2%
5University of MacauChina 51.621.2%9.0×12 +61.6%
6Xidian UniversityChina 51.311.2%10.1×31 +50.4%
7Fudan UniversityChina 49.87.2%5.6×38 +60.8%
8Peking UniversityChina 49.217.3%3.4×29 +124.0%
9Korea Advanced Institute of Science and TechnologySouth Korea 48.715.4%11.2×22 +54.9%
10Southeast UniversityChina 48.16.0%5.7×36 +40.2%

Universities only. The score blends excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.

Every institution in Low-power high-performance VLSI design, country by country

Is Low-power high-performance VLSI design research growing?

Output in 2022-2025 was 8% higher than in 2018-2021, peaking in 2002. The fastest-growing topics are Low-power high-performance VLSI design.

still counting19801990200020102020
grewheldshrank

The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.

Its share of all research

Growing output can still be a shrinking share: all of science grows. This is Low-power high-performance VLSI design as a percentage of every work published that year, 0.015% in 2024.

still counting0.10%0.20%Low-power high-performance VLSI design0.023% in 202519801990200020102020

Fractional works of Low-power high-performance VLSI design over all fractional works that year. How the balance of science has shifted.

How much of it reaches the world top 10%

Year by year.

still counting5%10%15%Low-power high-performance VLSI design9.6% in 2025200020102020

Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.

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.

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