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 WashingtonUnited States 19 works
- 2 Fermi National Accelerator LaboratoryUnited States 18 works
- 3 RWTH Aachen UniversityGermany 18 works
- 4 Deutsches Elektronen-Synchrotron DESYGermany 17 works
- 5 San Jose State UniversityUnited States 17 works
- 6 ETH ZurichSwitzerland 15 works
- 7 Chinese Academy of SciencesChina 14 works
- 8 University of East LondonUnited Kingdom 13 works
- 9 University of MichiganUnited States 13 works
- 10 Massachusetts Institute of TechnologyUnited 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 United Kingdom 11k citations
- 2 S. L. Wu United Kingdom 10k citations
- 3 Sw. Banerjee United Kingdom 10k citations
- 4 P. Jackson United Kingdom 10k citations
- 5 M. Costa United Kingdom 9.7k citations
- 6 M. Weber France 9.7k citations
- 7 X. Wu Switzerland 9.6k citations
- 8 M. Morii United Kingdom 9.6k citations
- 9 A. Cerri United States 9.5k citations
- 10 J. M. Izen United Kingdom 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 TechnologyUnited States | 58.1 | 34.0% | 4.8× | 13 | +58.1% |
| 2 | University of WashingtonUnited States | 53.2 | 13.6% | 4.4× | 19 | +116.1% |
| 3 | RWTH Aachen UniversityGermany | 52.0 | 13.4% | 5.8× | 18 | +71.3% |
| 4 | ETH ZurichSwitzerland | 49.0 | 14.9% | 5.0× | 15 | +29.8% |
| 5 | San Jose State UniversityUnited States | 48.5 | 3.0% | 35.2× | 17 | 0.0% |
| 6 | University of East LondonUnited Kingdom | 46.9 | 0.0% | 55.9× | 13 | — |
| 7 | Université Libre de BruxellesBelgium | 43.8 | 13.3% | 8.6× | 9 | -9.0% |
| 8 | Universitatea Națională de Știință și Tehnologie Politehnica BucureștiRomania | 40.8 | 1.9% | 10.0× | 10 | — |
| 9 | Columbia UniversityUnited States | 37.2 | 23.2% | 2.8× | 10 | +52.4% |
| 10 | Karlsruhe Institute of TechnologyGermany | 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.