Advanced Computational Techniques in Science and Engineering
Advanced Computational Techniques in Science and Engineering is a research topic within Information Systems. Science Explorer counts 5.4k 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 intersection of Internet of Things (IoT) and healthcare systems, including topics such as remote monitoring, algorithmic modeling, wireless sensor networks, telemedicine, biomedical signal processing, and digital information management. The papers also touch upon the application of IoT in smart city healthcare systems and the use of corpus analysis in technical writing classrooms.
- IoT
- Healthcare
- Remote Monitoring
- Algorithmic Modeling
- Wireless Sensor Networks
- Telemedicine
- Biomedical Signal Processing
- Digital Information Management
- Smart City
- Corpus Analysis
- Research works
- 5.4k fractional, since 1950
- In the world top 10%
- 539 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
33% of the 10 largest, 2022-now
Which countries lead Advanced Computational Techniques in Science and Engineering research?
By volume, Russia and Uzbekistan publish the most (486 and 343 works in 2022-now).
By volume, 2022-now
- 1
Russia 486 works
- 2
Uzbekistan 343 works
- 3
Ukraine 239 works
- 4
United States 169 works
- 5
China 68 works
- 6
India 52 works
- 7
Kazakhstan 49 works
- 8
Türkiye 27 works
- 9
Iraq 27 works
- 10
Azerbaijan 25 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 Computational Techniques in Science and Engineering research?
By volume in 2022-now, Russian Academy of Sciences publishes the most Advanced Computational Techniques in Science and Engineering research, followed by Tashkent University of Information Technology and Weatherford College.
By volume, 2022-now
- 1
Russian Academy of Sciences
Russia 69 works
- 2
Tashkent University of Information Technology
Uzbekistan 62 works
- 3
Weatherford College
United States 25 works
- 4
Samarkand State University named after Sharof Rashidov
Uzbekistan 24 works
- 5
National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”
Ukraine 24 works
- 6
Lviv Polytechnic National University
Ukraine 22 works
- 7
Human Growth Foundation
United States 22 works
- 8
Samarkand State Medical Institute
Uzbekistan 21 works
- 9
IQ Samhällsbyggnad
Sweden 20 works
- 10
Turkmen State Pedagogical Institute named Seidnazar Seydi
Turkmenistan 20 works
Who are the leading researchers in Advanced Computational Techniques in Science and Engineering?
The most-cited researchers publishing on Advanced Computational Techniques in Science and Engineering include Witold Pedrycz.
- 1
Witold Pedrycz
Canada 95k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Advanced Computational Techniques in Science and Engineering research done?
The largest centres of Advanced Computational Techniques in Science and Engineering research in 2022-now are Tashkent (Uzbekistan), Moscow (Russia), Kyiv (Ukraine) and Saint Petersburg (Russia). Among places with at least 20 works in it, it is an unusually large share of all research in Samarkand and Tashkent.
Largest cities, 2022-now
- 1
Tashkent
Uzbekistan 183 works
- 2
Moscow
Russia 148 works
- 3
Kyiv
Ukraine 81 works
- 4
Saint Petersburg
Russia 57 works
- 5
Samarkand
Uzbekistan 49 works
- 6
Kharkiv
Ukraine 46 works
- 7
Lviv
Ukraine 27 works
- 8
Weatherford
United States 25 works
- 9
New York
United States 23 works
- 10
Baku
Azerbaijan 23 works
Where it is the local speciality
- SamarkandUZ · 49.0 works80×
- TashkentUZ · 182.9 works66×
Location quotient: how much more of its research is in Advanced Computational Techniques in Science and Engineering than the world average.
Where is the best place to study Advanced Computational Techniques in Science and Engineering?
Among universities, judged by research, National University of Uzbekistan, Moscow Technical University of Communication and Informatics and Tashkent Institute of Irrigation and Agricultural Mechanization Engineers 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 Computational Techniques in Science and Engineering, country by countryIs Advanced Computational Techniques in Science and Engineering research growing?
Output in 2022-2025 was 2% higher than in 2018-2021, peaking in 2026. The fastest-growing topics are Advanced Computational Techniques in Science and Engineering.
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 Computational Techniques in Science and Engineering as a percentage of every work published that year, 0.0037% in 2024.
Fractional works of Advanced Computational Techniques in Science and Engineering 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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