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Advanced Data Processing Techniques

Advanced Data Processing Techniques is a research topic within Control and Systems Engineering. Science Explorer counts 24k 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 modeling and control of multidimensional systems, with an emphasis on redundant transmission, fuzzy controller adaptation, fault tolerance, real-time systems, and energy efficiency in various domains such as cyber-physical systems, network traffic analysis, and industrial automation.

  • Redundant Transmission
  • Fuzzy Controller
  • Real-Time Systems
  • Cluster Architecture
  • Fault Tolerance
  • Simulation Modeling
  • Network Traffic Analysis
  • Cyber-Physical Systems
  • Energy Efficiency
  • Industrial Automation
Research works
24k
fractional, since 1950
In the world top 10%
2.3k
per year above
Top-10% rate
9.9%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+2%
the tick is no change
Largest producer
Russia
35% of the 10 largest, 2022-now
Advanced Data Processing Techniques

Which countries lead Advanced Data Processing Techniques research?

By volume, Russia and China publish the most (1.6k and 925 works in 2022-now).

By volume, 2022-now

  1. 1 Russia 1.6k works
  2. 2 China 925 works
  3. 3 Ukraine 652 works
  4. 4 United States 526 works
  5. 5 India 323 works
  6. 6 Uzbekistan 136 works
  7. 7 Kazakhstan 113 works
  8. 8 Germany 106 works
  9. 9 Indonesia 93 works
  10. 10 United Kingdom 79 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.

Russia: 35.3%China: 20.3%Ukraine: 14.3%United States: 11.5%6 others listed: 18.6%35%largest
Russia1,611 · 35.3%China925 · 20.3%Ukraine652 · 14.3%United States526 · 11.5%6 others listed849 · 18.6%

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

Which institutions lead Advanced Data Processing Techniques research?

By volume in 2022-now, Russian Academy of Sciences publishes the most Advanced Data Processing Techniques research, followed by National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” and National Technical University "Kharkiv Polytechnic Institute".

Who are the leading researchers in Advanced Data Processing Techniques?

The most-cited researchers publishing on Advanced Data Processing Techniques include Robert John Tibshirani, Yousef Saleh Khader and Vladimir N. Vapnik.

  1. 1 Robert John Tibshirani United States 396k citations
  2. 2 Yousef Saleh Khader Jordan 274k citations
  3. 3 Vladimir N. Vapnik United States 227k 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 Advanced Data Processing Techniques?

The most cited paper in Advanced Data Processing Techniques is "Kinetics of Adsorption on Carbon from Solution" (Walter J. Jr. Weber, John C. Morris, 1963), with 9,821 citations. Next come "AIP Conference Proceedings" (5,228) and "Application of fuzzy algorithms for control of simple dynamic plant" (4,053).

Most cited papers
#PaperReleasedCitations
1 Kinetics of Adsorption on Carbon from Solution Walter J. Jr. Weber, John C. Morris · Journal of the Sanitary Engineering Division Apr 1963 9,821
2 AIP Conference Proceedings T Arturo Fernández · conference Conference paper Dec 2006 5,228
3 Application of fuzzy algorithms for control of simple dynamic plant Ebrahim H. Mamdani · Proceedings of the Institution of Electrical Engineers 1974 4,053
4 Bibliographic coupling between scientific papers M. M. Kessler · American Documentation 1963 2,872
5 Structure identification of fuzzy model Michio Sugeno, Geon Kang · Fuzzy Sets and Systems Oct 1988 2,722
All 97 most cited papers, with filters and sorting

Where is Advanced Data Processing Techniques research done?

The largest centres of Advanced Data Processing Techniques research in 2022-now are Moscow (Russia), Saint Petersburg (Russia), Kyiv (Ukraine) and Beijing (China). Among places with at least 20 works in it, it is an unusually large share of all research in Ulyanovsk.

Largest cities, 2022-now

  1. 1 MoscowRussia 544 works
  2. 2 Saint PetersburgRussia 246 works
  3. 3 KyivUkraine 218 works
  4. 4 BeijingChina 206 works
  5. 5 KharkivUkraine 134 works
  6. 6 TashkentUzbekistan 95 works
  7. 7 BakuAzerbaijan 60 works
  8. 8 ShanghaiChina 57 works
  9. 9 LvivUkraine 54 works
  10. 10 AlmatyKazakhstan 51 works

Where it is the local speciality

  1. UlyanovskRU · 20.6 works63×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Advanced Data Processing Techniques than the world average.

See Advanced Data Processing Techniques on the map

Where is the best place to study Advanced Data Processing Techniques?

Among universities, judged by research, Moscow Technical University of Communication and Informatics, Northeastern University and Xi'an Jiaotong 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%20%40%mean 27.4%fractional works in this field (log) →share of work in the world top 10% →Xi'an Jiaotong Unive…Northeastern Univers…Moscow Technical Uni…National Technical U…
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
1Moscow Technical University of Communication and InformaticsRussia 62.736.5%121.4×27 -22.2%
2Northeastern UniversityChina 62.543.6%2.7×12 +79.1%
3Xi'an Jiaotong UniversityChina 59.447.5%1.2×11 +460.5%
4National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”Ukraine 57.25.1%63.9×75 +22.0%
5Navoi State Mining InstituteUzbekistan 54.524.3%98.5×9 +109.6%
6Central South UniversityChina 54.337.1%1.0×10 +269.1%
7National Technical University "Kharkiv Polytechnic Institute"Ukraine 53.59.9%80.7×42 +20.5%
8Harbin Engineering UniversityChina 50.331.8%4.0×10 +119.8%
9Zhejiang UniversityChina 49.333.3%0.8×11 +110.5%
10MIREA - Russian Technological UniversityRussia 48.94.9%82.0×42 +21.0%

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 Advanced Data Processing Techniques, country by country

Is Advanced Data Processing Techniques research growing?

Output in 2022-2025 was 2% higher than in 2018-2021, peaking in 2024. The fastest-growing topics are Advanced Data Processing 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 Advanced Data Processing Techniques as a percentage of every work published that year, 0.031% in 2024.

still counting0.020%0.040%Advanced Data Processing Techniques0.023% in 202519801990200020102020

Fractional works of Advanced Data Processing 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%Advanced Data Processing Techniques10.4% 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.

Discussion

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