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
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
Russia 1.6k works
- 2
China 925 works
- 3
Ukraine 652 works
- 4
United States 526 works
- 5
India 323 works
- 6
Uzbekistan 136 works
- 7
Kazakhstan 113 works
- 8
Germany 106 works
- 9
Indonesia 93 works
- 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.
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".
By volume, 2022-now
- 1
Russian Academy of Sciences
Russia 210 works
- 2
National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”
Ukraine 75 works
- 3
National Technical University "Kharkiv Polytechnic Institute"
Ukraine 42 works
- 4
MIREA - Russian Technological University
Russia 42 works
- 5
Lviv Polytechnic National University
Ukraine 42 works
- 6
National Academy of Sciences of Ukraine
Ukraine 39 works
- 7
Saint Petersburg State Electrotechnical University
Russia 38 works
- 8
Bauman Moscow State Technical University
Russia 38 works
- 9
Peter the Great St. Petersburg Polytechnic University
Russia 34 works
- 10
Azerbaijan State Oil and Industry University
Azerbaijan 31 works
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
Robert John Tibshirani
United States 396k citations
- 2
Yousef Saleh Khader
Jordan 274k citations
- 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.
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
Moscow
Russia 544 works
- 2
Saint Petersburg
Russia 246 works
- 3
Kyiv
Ukraine 218 works
- 4
Beijing
China 206 works
- 5
Kharkiv
Ukraine 134 works
- 6
Tashkent
Uzbekistan 95 works
- 7
Baku
Azerbaijan 60 works
- 8
Shanghai
China 57 works
- 9
Lviv
Ukraine 54 works
- 10
Almaty
Kazakhstan 51 works
Where it is the local speciality
- UlyanovskRU · 20.6 works63×
Location quotient: how much more of its research is in Advanced Data Processing Techniques than the world average.
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.
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.
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 countryIs 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.
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.
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.
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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