Statistical and Computational Modeling
Statistical and Computational Modeling is a research topic within Artificial Intelligence. Science Explorer counts 7.2k research works in it since 1950. 10.0% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the application of inductive modeling techniques, particularly GMDH-type neural networks and interval models, in various scientific research domains. The papers cover topics such as environmental monitoring, modeling and prediction of complex processes, application of machine learning algorithms, and the use of self-organization techniques. The overarching theme revolves around the utilization of advanced computational methods for sustainable development and scientific analysis.
- Inductive Modeling
- GMDH-type Neural Networks
- Interval Models
- Environmental Monitoring
- Artificial Bee Colony Algorithm
- Machine Learning
- Data Mining
- Modeling and Prediction
- Self-Organization Techniques
- Sustainable Development
- Research works
- 7.2k fractional, since 1950
- In the world top 10%
- 717 per year above
- Top-10% rate
- 10.0% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +49% the tick is no change
Which countries lead Statistical and Computational Modeling research?
By volume, Russia and Ukraine publish the most (266 and 186 works in 2022–2025).
By volume, 2022–2025
- 1 Russia 266 works
- 2 Ukraine 186 works
- 3 United States 128 works
- 4 China 79 works
- 5 India 63 works
- 6 Germany 57 works
- 7 Poland 45 works
- 8 France 38 works
- 9 United Kingdom 26 works
- 10 Uzbekistan 24 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 Statistical and Computational Modeling research?
By volume in 2022–2025, West Ukrainian National University publishes the most Statistical and Computational Modeling research, followed by National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” and Russian Academy of Sciences.
By volume, 2022–2025
- 1 West Ukrainian National University Ukraine 22 works
- 2 National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” Ukraine 20 works
- 3 Russian Academy of Sciences Russia 13 works
- 4 Lviv Polytechnic National University Ukraine 11 works
- 5 Taras Shevchenko National University of Kyiv Ukraine 8 works
- 6 Irkutsk State Transport University Russia 7 works
- 7 Odesа Polytechnic National University Ukraine 7 works
- 8 Weatherford College United States 6 works
- 9 Peter the Great St. Petersburg Polytechnic University Russia 6 works
- 10 Samarkand State University named after Sharof Rashidov Uzbekistan 6 works
Who are the leading researchers in Statistical and Computational Modeling?
The most-cited researchers publishing on Statistical and Computational Modeling include Zeshui Xu.
- 1 Zeshui Xu 3.3k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Statistical and Computational Modeling research done?
The largest centres of Statistical and Computational Modeling research in 2022–2025 are Moscow (Russia), Kyiv (Ukraine), Saint Petersburg (Russia) and Ternopil (Ukraine). Among places with at least 20 works in it, it is an unusually large share of all research in Ternopil, Kharkiv and Kyiv.
Largest cities, 2022–2025
Where it is the local speciality
- TernopilUA · 26.3 works106×
- KharkivUA · 25.5 works20×
- KyivUA · 70.2 works20×
Location quotient: how much more of its research is in Statistical and Computational Modeling than the world average.
Where is the best place to study Statistical and Computational Modeling?
Among universities, judged by research, West Ukrainian National University, Lviv Polytechnic National University and National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” 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.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | West Ukrainian National University Ukraine | 57.4 | 7.4% | 205.3× | 22 | +260.0% |
| 2 | Lviv Polytechnic National University Ukraine | 51.9 | 10.2% | 32.9× | 11 | +154.8% |
| 3 | National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” Ukraine | 38.1 | 2.5% | 70.5× | 20 | +260.2% |
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 Statistical and Computational Modeling research growing?
Output in 2018–2022 was 49% higher than in 2013–2017, peaking in 2022. The fastest-growing topics are Statistical and Computational Modeling.
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.