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Embedded Systems Design Techniques

Embedded Systems Design Techniques is a research topic within Hardware and Architecture. Science Explorer counts 47k research works in it since 1950. 10.0% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on advances in reconfigurable computing systems and design methods, including topics such as high-level synthesis, system-level design, FPGA architectures, multiprocessor SoCs, dynamic reconfiguration, hardware/software codesign, dataflow programming languages, and platform-based design.

  • Reconfigurable Computing
  • High-Level Synthesis
  • System-Level Design
  • FPGA
  • Multiprocessor SoC
  • Embedded Systems
  • Dynamic Reconfiguration
  • Hardware/Software Codesign
  • Dataflow Programming Languages
  • Platform-Based Design
Research works
47k
fractional, since 1950
In the world top 10%
4.7k
per year above
Top-10% rate
10.0%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+17%
the tick is no change
Largest producer
China
27% of the 10 largest, 2022-now
Embedded Systems Design Techniques

Which countries lead Embedded Systems Design Techniques research?

By volume, China and the United States publish the most (1k and 898 works in 2022-now).

By volume, 2022-now

  1. 1 China 1k works
  2. 2 United States 898 works
  3. 3 India 596 works
  4. 4 Germany 351 works
  5. 5 France 172 works
  6. 6 Japan 154 works
  7. 7 Italy 153 works
  8. 8 United Kingdom 145 works
  9. 9 South Korea 119 works
  10. 10 Canada 102 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: 27.3%United States: 24.3%India: 16.1%Germany: 9.5%6 others listed: 22.8%27%largest
China1,010 · 27.3%United States898 · 24.3%India596 · 16.1%Germany351 · 9.5%6 others listed845 · 22.8%

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

Which institutions lead Embedded Systems Design Techniques research?

By volume in 2022-now, Chinese Academy of Sciences publishes the most Embedded Systems Design Techniques research, followed by Centre National de la Recherche Scientifique and Tsinghua University.

Who are the leading researchers in Embedded Systems Design Techniques?

The most-cited researchers publishing on Embedded Systems Design Techniques include Yoshua Bengio, Kai You Wang and Stephen M. Smith.

  1. 1 Yoshua Bengio Canada 476k citations
  2. 2 Kai You Wang China 224k citations
  3. 3 Stephen M. Smith United Kingdom 214k 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 Embedded Systems Design Techniques?

The most cited paper in Embedded Systems Design Techniques is "Computer Architecture: A Quantitative Approach" (John LeRoy Hennessy, David A. Patterson, 1989), with 9,556 citations. Next come "Event-Triggered Real-Time Scheduling of Stabilizing Control Tasks" (4,727) and "Networks on chips: a new SoC paradigm" (3,769).

Most cited papers
#PaperReleasedCitations
1 Computer Architecture: A Quantitative Approach John LeRoy Hennessy, David A. Patterson · UCLA - Biblioteca de Ciencias y Tecnologia Felix Morales Bueno Dec 1989 9,556
2 Event-Triggered Real-Time Scheduling of Stabilizing Control Tasks Paulo Tabuada · IEEE Transactions on Automatic Control Sep 2007 4,727
3 Networks on chips: a new SoC paradigm Luca Benini, Giovanni De Micheli · Computer Open access 2002 3,769
4 A Bridging Model for Parallel Computation Leslie Gabriel Valiant · ACM eBooks Book chapterOpen access Aug 1990 3,701
5 Cyber Physical Systems: Design Challenges Edward A. Lee Conference paper May 2008 3,535
All 99 most cited papers, with filters and sorting

Where is Embedded Systems Design Techniques research done?

The largest centres of Embedded Systems Design Techniques research in 2022-now are Beijing (China), Shanghai (China), Bengaluru (India) and Seoul (South Korea). Among places with at least 20 works in it, it is an unusually large share of all research in Santa Clara and Bremen.

Largest cities, 2022-now

  1. 1 BeijingChina 275 works
  2. 2 ShanghaiChina 104 works
  3. 3 BengaluruIndia 85 works
  4. 4 SeoulSouth Korea 66 works
  5. 5 TokyoJapan 65 works
  6. 6 NanjingChina 60 works
  7. 7 Xi'anChina 58 works
  8. 8 ChangshaChina 51 works
  9. 9 ChennaiIndia 50 works
  10. 10 Hong KongChina 46 works

Where it is the local speciality

  1. Santa ClaraUS · 36.2 works29×
  2. BremenDE · 20.3 works11×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Embedded Systems Design Techniques than the world average.

See Embedded Systems Design Techniques on the map

Where is the best place to study Embedded Systems Design Techniques?

Among universities, judged by research, Peking University, University of California, Los Angeles and ETH Zurich 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%20%40%mean 25.09%fractional works in this field (log) →share of work in the world top 10% →University of Califo…Peking UniversityETH ZurichHong Kong University…
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
1Peking UniversityChina 66.421.7%3.8×33 +360.3%
2University of California, Los AngelesUnited States 66.145.2%2.8×14 +17.5%
3ETH ZurichSwitzerland 64.314.9%6.6×19 +37.3%
4Hong Kong University of Science and TechnologyChina 62.013.9%11.8×21 +671.3%
5École Polytechnique Fédérale de LausanneSwitzerland 61.019.0%9.4×16 +18.4%
6Tsinghua UniversityChina 60.914.8%4.2×42 +245.8%
7Chinese University of Hong KongChina 59.228.2%4.5×14 +256.5%
8University of Illinois Urbana-ChampaignUnited States 59.237.0%3.7×14 +6.5%
9Stanford UniversityUnited States 58.833.3%2.0×13 +4.7%
10Georgia Institute of TechnologyUnited States 58.622.9%7.4×20 +16.2%

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 Embedded Systems Design Techniques, country by country

Is Embedded Systems Design Techniques research growing?

Output in 2022-2025 was 17% higher than in 2018-2021, peaking in 2002. The fastest-growing topics are Embedded Systems Design Techniques.

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 Embedded Systems Design Techniques as a percentage of every work published that year, 0.024% in 2024.

still counting0.10%0.20%0.30%Embedded Systems Design Techniques0.026% in 202519801990200020102020

Fractional works of Embedded Systems Design Techniques 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%Embedded Systems Design Techniques9.8% 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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