Advanced Statistical Modeling Techniques
Advanced Statistical Modeling Techniques is a research topic within Computer Networks and Communications. Science Explorer counts 5.5k 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 development and application of secure classical communication systems using Johnson noise and Kirchhoff's law. It also explores person-oriented research, machine learning algorithms, directional dependence analysis, and statistical packages like ROPstat for data analysis.
- Secure Communication
- Johnson Noise
- Kirchhoff Law
- Classical Key Distribution
- Person-Oriented Research
- Machine Learning Algorithms
- Artificial Neural Network
- Directional Dependence Analysis
- Statistical Package ROPstat
- Configural Frequency Analysis
- Research works
- 5.5k fractional, since 1950
- In the world top 10%
- 562 per year above
- Top-10% rate
- 10.1% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- +17% the tick is no change
- Largest producer
United States
40% of the 10 largest, 2022-now
Which countries lead Advanced Statistical Modeling Techniques research?
By volume, the United States and China publish the most (345 and 114 works in 2022-now).
By volume, 2022-now
- 1
United States 345 works
- 2
China 114 works
- 3
India 104 works
- 4
Germany 88 works
- 5
Türkiye 45 works
- 6
Japan 37 works
- 7
Indonesia 33 works
- 8
Netherlands 33 works
- 9
United Kingdom 29 works
- 10
Italy 27 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 Statistical Modeling Techniques research?
By volume in 2022-now, Christian-Albrechts-Universität zu Kiel publishes the most Advanced Statistical Modeling Techniques research, followed by University of North Carolina at Chapel Hill and Sapienza University of Rome.
By volume, 2022-now
- 1
Christian-Albrechts-Universität zu Kiel
Germany 14 works
- 2
University of North Carolina at Chapel Hill
United States 10 works
- 3
Sapienza University of Rome
Italy 9 works
- 4
Texas A&M University
United States 9 works
- 5
University of Iowa
United States 8 works
- 6
University of Amsterdam
Netherlands 8 works
- 7
Arizona State University
United States 7 works
- 8
University of Washington
United States 7 works
- 9
Michigan State University
United States 7 works
- 10
University of Notre Dame
United States 6 works
Who are the leading researchers in Advanced Statistical Modeling Techniques?
The most-cited researchers publishing on Advanced Statistical Modeling Techniques include Robert John Tibshirani, Donald B. Rubin and Trevor Hastie.
- 1
Robert John Tibshirani
United States 396k citations
- 2
Donald B. Rubin
United States 301k citations
- 3
Trevor Hastie
United States 301k citations
- 4
Ralph B. D’Agostino
United States 255k citations
- 5
Peter M. Bentler
United States 233k citations
- 6
Jerome H. Friedman
United States 224k citations
- 7
Marko Sarstedt
Germany 221k citations
- 8
Christian M. Ringle
Germany 215k citations
- 9
David A. Kenny
United States 198k citations
- 10
Jacob Cohen
United States 195k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Advanced Statistical Modeling Techniques research done?
The largest centres of Advanced Statistical Modeling Techniques research in 2022-now are Beijing (China), Tokyo (Japan), Kiel (Germany) and Ankara (Türkiye).
Largest cities, 2022-now
- 1
Beijing
China 25 works
- 2
Tokyo
Japan 17 works
- 3
Kiel
Germany 14 works
- 4
Ankara
Türkiye 13 works
- 5
New York
United States 12 works
- 6
Amsterdam
Netherlands 12 works
- 7
Seoul
South Korea 11 works
- 8
Chennai
India 11 works
- 9
London
United Kingdom 11 works
- 10
Rome
Italy 11 works
Where is the best place to study Advanced Statistical Modeling Techniques?
Among universities, judged by research, Christian-Albrechts-Universität zu Kiel, University of North Carolina at Chapel Hill and Sapienza University of Rome 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.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Christian-Albrechts-Universität zu Kiel |
73.6 | 10.8% | 44.8× | 14 | +191.8% |
| 2 | University of North Carolina at Chapel Hill |
44.2 | 10.3% | 5.1× | 10 | -36.5% |
| 3 | Sapienza University of Rome |
19.3 | 10.5% | 7.3× | 9 | - |
| 4 | Texas A&M University |
17.2 | 10.7% | 10.2× | 9 | -30.7% |
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 Statistical Modeling Techniques, country by countryIs Advanced Statistical Modeling Techniques research growing?
Output in 2022-2025 was 17% higher than in 2018-2021, peaking in 2025. The fastest-growing topics are Advanced Statistical Modeling 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 Statistical Modeling Techniques as a percentage of every work published that year, 0.0041% in 2024.
Fractional works of Advanced Statistical Modeling 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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