Computational Physics and Python Applications
Computational Physics and Python Applications is a research topic within Artificial Intelligence. Science Explorer counts 23k research works in it since 1950. 13.8% of them reached the world's top 10% most cited for their field and year.
This cluster of papers covers a wide range of topics related to scientific computing and data analysis using Python. It includes statistical modeling, machine learning, visualization, geospatial mapping, geomorphology, oceanography, and HF radio networking. The papers showcase the diverse applications and tools available for scientific research and data analysis in various fields.
- Python
- Scientific Computing
- Statistical Modeling
- Machine Learning
- Data Analysis
- Visualization
- Geospatial Mapping
- Geomorphology
- Oceanography
- HF Radio Networking
- Research works
- 23k fractional, since 1950
- In the world top 10%
- 3.1k per year above
- Top-10% rate
- 13.8% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +42% the tick is no change
Which countries lead Computational Physics and Python Applications research?
By volume, the United States and China publish the most (1k and 682 works in 2022–2025).
By volume, 2022–2025
- 1 United States 1k works
- 2 China 682 works
- 3 India 381 works
- 4 Germany 273 works
- 5 United Kingdom 204 works
- 6 Indonesia 180 works
- 7 Russia 139 works
- 8 France 137 works
- 9 Italy 125 works
- 10 Japan 103 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 Computational Physics and Python Applications research?
By volume in 2022–2025, University of Washington publishes the most Computational Physics and Python Applications research, followed by Fermi National Accelerator Laboratory and RWTH Aachen University.
By volume, 2022–2025
- 1 University of Washington United States 19 works
- 2 Fermi National Accelerator Laboratory United States 18 works
- 3 RWTH Aachen University Germany 18 works
- 4 Deutsches Elektronen-Synchrotron DESY Germany 17 works
- 5 San Jose State University United States 17 works
- 6 ETH Zurich Switzerland 15 works
- 7 Chinese Academy of Sciences China 14 works
- 8 University of East London United Kingdom 13 works
- 9 University of Michigan United States 13 works
- 10 Massachusetts Institute of Technology United States 13 works
Who are the leading researchers in Computational Physics and Python Applications?
The most-cited researchers publishing on Computational Physics and Python Applications include R. Kowalewski, S. L. Wu and Sw. Banerjee.
- 1 R. Kowalewski 11k citations
- 2 S. L. Wu 10k citations
- 3 Sw. Banerjee 10k citations
- 4 P. Jackson 10k citations
- 5 M. Costa 9.7k citations
- 6 M. Weber 9.7k citations
- 7 X. Wu 9.6k citations
- 8 M. Morii 9.6k citations
- 9 A. Cerri 9.5k citations
- 10 J. M. Izen 9.5k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Computational Physics and Python Applications research done?
The largest centres of Computational Physics and Python Applications research in 2022–2025 are Beijing (China), Moscow (Russia), London (United Kingdom) and Shanghai (China).
Where is the best place to study Computational Physics and Python Applications?
Among universities, judged by research, Massachusetts Institute of Technology, University of Washington and RWTH Aachen University 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 | Massachusetts Institute of Technology United States | 58.1 | 34.0% | 4.8× | 13 | +58.1% |
| 2 | University of Washington United States | 53.2 | 13.6% | 4.4× | 19 | +116.1% |
| 3 | RWTH Aachen University Germany | 52.0 | 13.4% | 5.8× | 18 | +71.3% |
| 4 | ETH Zurich Switzerland | 49.0 | 14.9% | 5.0× | 15 | +29.8% |
| 5 | San Jose State University United States | 48.5 | 3.0% | 35.2× | 17 | 0.0% |
| 6 | University of East London United Kingdom | 46.9 | 0.0% | 55.9× | 13 | — |
| 7 | Université Libre de Bruxelles Belgium | 43.8 | 13.3% | 8.6× | 9 | -9.0% |
| 8 | Universitatea Națională de Știință și Tehnologie Politehnica București Romania | 40.8 | 1.9% | 10.0× | 10 | — |
| 9 | Columbia University United States | 37.2 | 23.2% | 2.8× | 10 | +52.4% |
| 10 | Karlsruhe Institute of Technology Germany | 36.7 | 23.3% | 3.8× | 9 | +29.3% |
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 Computational Physics and Python Applications research growing?
Output in 2018–2022 was 42% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Computational Physics and Python Applications.
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.