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. 8.4% 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%
- 455 per year above
- Top-10% rate
- 8.4% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +181% the tick is no change
Which countries lead Advanced Computational Techniques in Science and Engineering research?
By volume, Russia and Ukraine publish the most (422 and 215 works in 2022–2025).
By volume, 2022–2025
- 1 Russia 422 works
- 2 Ukraine 215 works
- 3 Uzbekistan 176 works
- 4 United States 103 works
- 5 China 49 works
- 6 India 46 works
- 7 Kazakhstan 44 works
- 8 Iraq 22 works
- 9 Belarus 18 works
- 10 Azerbaijan 15 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 2022–2025, Tashkent University of Information Technology publishes the most Advanced Computational Techniques in Science and Engineering research, followed by National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” and Lviv Polytechnic National University.
By volume, 2022–2025
- 1 Tashkent University of Information TechnologyUzbekistan 37 works
- 2 National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”Ukraine 22 works
- 3 Lviv Polytechnic National UniversityUkraine 20 works
- 4 Weatherford CollegeUnited States 20 works
- 5 Human Growth FoundationUnited States 17 works
- 6 Samarkand State University named after Sharof RashidovUzbekistan 16 works
- 7 Tashkent Institute of Irrigation and Agricultural Mechanization EngineersUzbekistan 15 works
- 8 National University of UzbekistanUzbekistan 14 works
- 9 Taras Shevchenko National University of KyivUkraine 12 works
- 10 Russian Academy of SciencesRussia 11 works
Where is Advanced Computational Techniques in Science and Engineering research done?
The largest centres of Advanced Computational Techniques in Science and Engineering research in 2022–2025 are Moscow (Russia), Tashkent (Uzbekistan), 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 Tashkent, Samarkand and Kharkiv.
Largest cities, 2022–2025
- 1 Moscow Russia 129 works
- 2 Tashkent Uzbekistan 113 works
- 3 Kyiv Ukraine 75 works
- 4 Saint Petersburg Russia 49 works
- 5 Kharkiv Ukraine 41 works
- 6 Lviv Ukraine 24 works
- 7 Samarkand Uzbekistan 20 works
- 8 Weatherford United States 20 works
- 9 Almaty Kazakhstan 19 works
- 10 New York United States 17 works
Where it is the local speciality
- TashkentUZ · 113.5 works67×
- SamarkandUZ · 20.3 works58×
- KharkivUA · 41.3 works30×
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, Tashkent University of Information Technology 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 table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | National University of UzbekistanUzbekistan | 72.6 | 16.6% | 73.2× | 14 | +70.8% |
| 2 | Tashkent University of Information TechnologyUzbekistan | 70.6 | 5.4% | 487.5× | 38 | +1402.4% |
| 3 | Tashkent Institute of Irrigation and Agricultural Mechanization EngineersUzbekistan | 70.3 | 14.7% | 159.0× | 15 | — |
| 4 | Lviv Polytechnic National UniversityUkraine | 67.8 | 9.9% | 58.5× | 20 | +153.3% |
| 5 | Samarkand State University named after Sharof RashidovUzbekistan | 65.9 | 13.3% | 111.3× | 16 | — |
| 6 | National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”Ukraine | 50.9 | 2.8% | 73.4× | 22 | +90.2% |
| 7 | Taras Shevchenko National University of KyivUkraine | 49.5 | 2.0% | 31.9× | 12 | +229.6% |
| 8 | Weatherford CollegeUnited States | 47.5 | 2.1% | 11.4× | 20 | — |
| 9 | National Technical University "Kharkiv Polytechnic Institute"Ukraine | 46.9 | 7.4% | 69.9× | 9 | — |
| 10 | Saint Petersburg State Electrotechnical UniversityRussia | 44.9 | 6.8% | 80.9× | 10 | — |
Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.
Is Advanced Computational Techniques in Science and Engineering research growing?
Output in 2018–2022 was 181% higher than in 2013–2017, 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.
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.