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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. 10.1% 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%
722
per year above
Top-10% rate
10.1%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+0%
the tick is no change
Largest producer
Russia
29% of the 10 largest, 2022-now
Statistical and Computational Modeling

Which countries lead Statistical and Computational Modeling research?

By volume, Russia and Ukraine publish the most (283 and 215 works in 2022-now).

By volume, 2022-now

  1. 1 Russia 283 works
  2. 2 Ukraine 215 works
  3. 3 United States 133 works
  4. 4 China 88 works
  5. 5 India 66 works
  6. 6 Germany 58 works
  7. 7 Poland 46 works
  8. 8 France 41 works
  9. 9 United Kingdom 26 works
  10. 10 Uzbekistan 26 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: 28.8%Ukraine: 21.9%United States: 13.6%China: 8.9%6 others listed: 26.8%29%largest
Russia283 · 28.8%Ukraine215 · 21.9%United States133 · 13.6%China88 · 8.9%6 others listed263 · 26.8%

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

Which institutions lead Statistical and Computational Modeling research?

By volume in 2022-now, Russian Academy of Sciences publishes the most Statistical and Computational Modeling research, followed by National Academy of Sciences of Ukraine and West Ukrainian National University.

By volume, 2022-now

  1. 1 Russian Academy of SciencesRussia 52 works
  2. 2 National Academy of Sciences of UkraineUkraine 22 works
  3. 3 West Ukrainian National UniversityUkraine 22 works
  4. 4 National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”Ukraine 22 works
  5. 5 Lviv Polytechnic National UniversityUkraine 14 works
  6. 6 Odesа Polytechnic National UniversityUkraine 13 works
  7. 7 Centre National de la Recherche ScientifiqueFrance 12 works
  8. 8 Taras Shevchenko National University of KyivUkraine 8 works
  9. 9 Irkutsk State Transport UniversityRussia 7 works
  10. 10 Weatherford CollegeUnited States 7 works

Who are the leading researchers in Statistical and Computational Modeling?

The most-cited researchers publishing on Statistical and Computational Modeling include Robert John Tibshirani, Donald B. Rubin and Trevor Hastie.

  1. 1 Robert John Tibshirani United States 396k citations
  2. 2 Donald B. Rubin United States 301k citations
  3. 3 Trevor Hastie United States 301k citations
  4. 4 Vladimir N. Vapnik United States 227k citations
  5. 5 Jerome H. Friedman United States 224k 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 Statistical and Computational Modeling?

The most cited paper in Statistical and Computational Modeling is "ANALYZING TABLES OF STATISTICAL TESTS" (William R. Rice, 1989), with 13,907 citations. Next come "Induction of decision trees" (12,440) and "Practical Nonparametric Statistics" (11,111).

Most cited papers
#PaperReleasedCitations
1 ANALYZING TABLES OF STATISTICAL TESTS William R. Rice · Evolution 1989 13,907
2 Induction of decision trees J. R. Quinlan · Machine Learning Open access Mar 1986 12,440
3 Practical Nonparametric Statistics David J. Groggel, William Jay Conover · Technometrics Aug 2000 11,111
4 User's guide to correlation coefficients Haldun Akoğlu · Turkish Journal of Emergency Medicine Open access 7 Aug 2018 5,925
5 Regression Models for Categorical and Limited Dependent Variables James A. Calvin, J. Scott Long · Technometrics Feb 1998 2,993
All 99 most cited papers, with filters and sorting

Where is Statistical and Computational Modeling research done?

The largest centres of Statistical and Computational Modeling research in 2022-now are Moscow (Russia), Kyiv (Ukraine), Saint Petersburg (Russia) and Kharkiv (Ukraine). Among places with at least 20 works in it, it is an unusually large share of all research in Ternopil, Lviv and Kharkiv.

Largest cities, 2022-now

  1. 1 MoscowRussia 91 works
  2. 2 KyivUkraine 78 works
  3. 3 Saint PetersburgRussia 38 works
  4. 4 KharkivUkraine 30 works
  5. 5 TernopilUkraine 27 works
  6. 6 LvivUkraine 20 works
  7. 7 BeijingChina 17 works
  8. 8 TashkentUzbekistan 16 works
  9. 9 OdesaUkraine 15 works
  10. 10 BakuAzerbaijan 11 works

Where it is the local speciality

  1. TernopilUA · 27.1 works103×
  2. LvivUA · 20.3 works22×
  3. KharkivUA · 29.6 works22×
  4. KyivUA · 77.7 works21×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Statistical and Computational Modeling than the world average.

See Statistical and Computational Modeling on the map

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.

0%10%20%mean 7.7%fractional works in this field (log) →share of work in the world top 10% →Lviv Polytechnic Nat…West Ukrainian Natio…Odesа Polytechnic Na…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
1West Ukrainian National UniversityUkraine 78.011.8%219.2×22 +5.0%
2Lviv Polytechnic National UniversityUkraine 61.915.8%45.8×14 -31.1%
3National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”Ukraine 33.81.6%82.0×22 -7.6%
4Odesа Polytechnic National UniversityUkraine 28.94.6%194.2×13 +313.8%
5Taras Shevchenko National University of KyivUkraine 26.44.7%26.1×8 +6.6%

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 Statistical and Computational Modeling, country by country

Is Statistical and Computational Modeling research growing?

Output in 2022-2025 was 0% higher than in 2018-2021, peaking in 2022. The fastest-growing topics are Statistical and Computational Modeling.

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 Statistical and Computational Modeling as a percentage of every work published that year, 0.0060% in 2024.

still counting0.0050%0.010%0.015%Statistical and Computational Modeling0.0055% in 202519801990200020102020

Fractional works of Statistical and Computational Modeling 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%Statistical and Computational Modeling10.5% 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.

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