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Topic · Computer Networks and Communications

Error Correcting Code Techniques

Error Correcting Code Techniques is a research topic within Computer Networks and Communications. Science Explorer counts 16k research works in it since 1960. 9.7% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the design, analysis, and implementation of Low-Density Parity-Check (LDPC) codes and Polar codes for efficient and reliable channel coding. The papers cover topics such as factor graphs, sum-product algorithm, belief propagation, iterative decoding, capacity-achieving codes, stochastic computing, and error correction techniques.

  • LDPC Codes
  • Polar Codes
  • Factor Graphs
  • Sum-Product Algorithm
  • Belief Propagation
  • Channel Coding
  • Iterative Decoding
  • Capacity-Achieving Codes
  • Stochastic Computing
  • Error Correction
Research works
16k
fractional, since 1960
In the world top 10%
1.6k
per year above
Top-10% rate
9.7%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
-8%
the tick is no change
Largest producer
China
46% of the 10 largest, 2022-now
Error Correcting Code Techniques

Which countries lead Error Correcting Code Techniques research?

By volume, China and the United States publish the most (758 and 275 works in 2022-now).

By volume, 2022-now

  1. 1 China 758 works
  2. 2 United States 275 works
  3. 3 India 162 works
  4. 4 Germany 98 works
  5. 5 South Korea 83 works
  6. 6 Japan 74 works
  7. 7 France 58 works
  8. 8 Russia 54 works
  9. 9 Canada 49 works
  10. 10 United Kingdom 47 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: 45.7%United States: 16.6%India: 9.8%Germany: 5.9%6 others listed: 22.0%46%largest
China758 · 45.7%United States275 · 16.6%India162 · 9.8%Germany98 · 5.9%6 others listed364 · 22.0%

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

Which institutions lead Error Correcting Code Techniques research?

By volume in 2022-now, Beijing University of Posts and Telecommunications publishes the most Error Correcting Code Techniques research, followed by Sun Yat-sen University and Southeast University.

By volume, 2022-now

  1. 1 Beijing University of Posts and TelecommunicationsChina 38 works
  2. 2 Sun Yat-sen UniversityChina 33 works
  3. 3 Southeast UniversityChina 25 works
  4. 4 Chinese Academy of SciencesChina 24 works
  5. 5 Xidian UniversityChina 21 works
  6. 6 Helmholtz Association of German Research CentresGermany 18 works
  7. 7 Centre National de la Recherche ScientifiqueFrance 17 works
  8. 8 Beihang UniversityChina 17 works
  9. 9 National University of Defense TechnologyChina 15 works
  10. 10 University of Electronic Science and Technology of ChinaChina 15 works

Who are the leading researchers in Error Correcting Code Techniques?

The most-cited researchers publishing on Error Correcting Code Techniques include Michael I. Jordan, H. Vincent Poor and Bernhard Schölkopf.

  1. 1 Michael I. Jordan United States 182k citations
  2. 2 H. Vincent Poor United States 165k citations
  3. 3 Bernhard Schölkopf Germany 148k citations
  4. 4 Stephen Boyd United States 142k citations
  5. 5 Claude E. Shannon United States 138k 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 Error Correcting Code Techniques?

The most cited paper in Error Correcting Code Techniques is "Least squares quantization in PCM" (Sheelagh Lloyd, 1982), with 16,039 citations. Next come "Low-density parity-check codes" (10,733) and "Identification of common molecular subsequences" (10,175).

Most cited papers
#PaperReleasedCitations
1 Least squares quantization in PCM Sheelagh Lloyd · IEEE Transactions on Information Theory Open access Mar 1982 16,039
2 Low-density parity-check codes Robert G. Gallager · IEEE Transactions on Information Theory Open access 1962 10,733
3 Identification of common molecular subsequences Temple F. Smith, Michael S. Waterman · Journal of Molecular Biology Mar 1981 10,175
4 Network information flow Rudolf Ahlswede, Ning Cai, Shuo Li et al. · IEEE Transactions on Information Theory Jul 2000 7,890
5 Space-time codes for high data rate wireless communication: performance criterion and code construction Vahid Tarokh, Nambi Seshadri, A.R. Calderbank · IEEE Transactions on Information Theory Mar 1998 7,113
All 98 most cited papers, with filters and sorting

Where is Error Correcting Code Techniques research done?

The largest centres of Error Correcting Code Techniques research in 2022-now are Beijing (China), Nanjing (China), Guangzhou (China) and Xi'an (China). Among places with at least 20 works in it, it is an unusually large share of all research in Shenzhen.

Largest cities, 2022-now

  1. 1 BeijingChina 169 works
  2. 2 NanjingChina 70 works
  3. 3 GuangzhouChina 58 works
  4. 4 Xi'anChina 49 works
  5. 5 ShenzhenChina 40 works
  6. 6 ShanghaiChina 38 works
  7. 7 SeoulSouth Korea 37 works
  8. 8 ChengduChina 31 works
  9. 9 WuhanChina 30 works
  10. 10 TokyoJapan 28 works

Where it is the local speciality

  1. ShenzhenCN · 40.1 works5.7×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Error Correcting Code Techniques than the world average.

See Error Correcting Code Techniques on the map

Where is the best place to study Error Correcting Code Techniques?

Among universities, judged by research, Sun Yat-sen University, Massachusetts Institute of Technology and UNSW Sydney 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 16.41%fractional works in this field (log) →share of work in the world top 10% →Massachusetts Instit…UNSW SydneySun Yat-sen UniversityBeijing University o…
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
1Sun Yat-sen UniversityChina 69.716.1%8.6×33 +52.9%
2Massachusetts Institute of TechnologyUnited States 67.926.0%7.0×9 +34.6%
3UNSW SydneyAustralia 57.125.4%6.0×10 +9.3%
4Beijing University of Posts and TelecommunicationsChina 56.39.0%32.8×38 +2.6%
5Southeast UniversityChina 55.112.5%9.3×25 -3.3%
6Technion – Israel Institute of TechnologyIsrael 55.110.8%18.9×13 +19.6%
7Guangdong University of TechnologyChina 53.818.9%9.4×9 +64.6%
8Southwest Jiaotong UniversityChina 49.723.9%6.3×9 +50.5%
9Xidian UniversityChina 46.910.5%15.9×21 -4.2%
10McGill UniversityCanada 46.011.0%6.4×12 -17.6%

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 Error Correcting Code Techniques, country by country

Is Error Correcting Code Techniques research growing?

Output in 2022-2025 was 8% lower than in 2018-2021, peaking in 2010.

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 Error Correcting Code Techniques as a percentage of every work published that year, 0.0081% in 2024.

still counting0.020%0.040%0.060%Error Correcting Code Techniques0.0080% in 202519801990200020102020

Fractional works of Error Correcting Code 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%Error Correcting Code 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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