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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. 10.0% 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%
2.3k
per year above
Top-10% rate
10.0%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+23%
the tick is no change
Largest producer
United States
32% of the 10 largest, 2022-now
Computational Physics and Python Applications

Which countries lead Computational Physics and Python Applications research?

By volume, the United States and China publish the most (1.2k and 768 works in 2022-now).

By volume, 2022-now

  1. 1 United States 1.2k works
  2. 2 China 768 works
  3. 3 India 433 works
  4. 4 Germany 334 works
  5. 5 United Kingdom 236 works
  6. 6 Indonesia 183 works
  7. 7 France 155 works
  8. 8 Russia 148 works
  9. 9 Italy 147 works
  10. 10 Japan 123 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.

United States: 31.7%China: 20.8%India: 11.7%Germany: 9.0%6 others listed: 26.8%32%largest
United States1,170 · 31.7%China768 · 20.8%India433 · 11.7%Germany334 · 9.0%6 others listed992 · 26.8%

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

Which institutions lead Computational Physics and Python Applications research?

By volume in 2022-now, Centre National de la Recherche Scientifique publishes the most Computational Physics and Python Applications research, followed by Helmholtz Association of German Research Centres and Russian Academy of Sciences.

By volume, 2022-now

  1. 1 Centre National de la Recherche ScientifiqueFrance 70 works
  2. 2 Helmholtz Association of German Research CentresGermany 67 works
  3. 3 Russian Academy of SciencesRussia 41 works
  4. 4 Chinese Academy of SciencesChina 39 works
  5. 5 University of WashingtonUnited States 36 works
  6. 6 RWTH Aachen UniversityGermany 22 works
  7. 7 Fermi National Accelerator LaboratoryUnited States 19 works
  8. 8 State Grid Corporation of China (China)China 18 works
  9. 9 City University of New YorkUnited States 17 works
  10. 10 ETH ZurichSwitzerland 17 works

Who are the leading researchers in Computational Physics and Python Applications?

The most-cited researchers publishing on Computational Physics and Python Applications include Yoshua Bengio, M. Weber and Xiaogang Wang.

  1. 1 Yoshua Bengio Canada 476k citations
  2. 2 M. Weber Israel 267k citations
  3. 3 Xiaogang Wang China 260k citations
  4. 4 Florian Fischer Germany 257k citations
  5. 5 Yann LeCun United States 256k 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 Computational Physics and Python Applications?

The most cited paper in Computational Physics and Python Applications is "Scikit-learn: Machine Learning in Python" (Fabián Pedregosa, Gaël Varoquaux, Alexandre Gramfort et al., 2012), with 64,016 citations. Next come "Matplotlib: A 2D Graphics Environment" (41,156) and "SciPy 1.0: fundamental algorithms for scientific computing in Python" (40,161).

Most cited papers
#PaperReleasedCitations
1 Scikit-learn: Machine Learning in Python Fabián Pedregosa, Gaël Varoquaux, Alexandre Gramfort et al. · ORBi (University of Liège) Open access 2 Jan 2012 64,016
2 Matplotlib: A 2D Graphics Environment John D. Hunter · Computing in Science & Engineering 2007 41,156
3 SciPy 1.0: fundamental algorithms for scientific computing in Python Pauli Virtanen et al. · Nature Methods Open access112 authors 3 Feb 2020 40,161
4 The CLUSTAL_X windows interface: flexible strategies for multiple sequence alignment aided by quality analysis tools Julie Thompson · Nucleic Acids Research Open access 15 Dec 1997 39,325
5 Array programming with NumPy Charles R. Harris et al. · Nature Open access 16 Sep 2020 23,885
All 99 most cited papers, with filters and sorting

Where is Computational Physics and Python Applications research done?

The largest centres of Computational Physics and Python Applications research in 2022-now are Beijing (China), Moscow (Russia), London (United Kingdom) and Shanghai (China).

Largest cities, 2022-now

  1. 1 BeijingChina 177 works
  2. 2 MoscowRussia 68 works
  3. 3 LondonUnited Kingdom 58 works
  4. 4 ShanghaiChina 53 works
  5. 5 New YorkUnited States 51 works
  6. 6 ParisFrance 51 works
  7. 7 HamburgGermany 49 works
  8. 8 NanjingChina 46 works
  9. 9 GuangzhouChina 43 works
  10. 10 SeattleUnited States 36 works
See Computational Physics and Python Applications on the map

Where is the best place to study Computational Physics and Python Applications?

Among universities, judged by research, University of Washington, ETH Zurich and Massachusetts Institute of Technology 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%20%40%mean 19.16%fractional works in this field (log) →share of work in the world top 10% →Heidelberg UniversityMassachusetts Instit…ETH ZurichUniversity of Washin…
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
1University of WashingtonUnited States 67.58.3%7.2×36 +107.5%
2ETH ZurichSwitzerland 63.713.6%5.5×17 +44.1%
3Massachusetts Institute of TechnologyUnited States 59.822.8%5.2×16 +10.2%
4Heidelberg UniversityGermany 58.525.8%2.8×10 +29.8%
5Université Libre de BruxellesBelgium 57.519.5%7.2×10 +138.7%
6Harvard UniversityUnited States 56.428.8%0.6×8 +55.5%
7Tsinghua UniversityChina 54.330.4%1.3×13 +105.8%
8RWTH Aachen UniversityGermany 52.55.5%6.5×22 +11.6%
9Stanford UniversityUnited States 52.322.1%2.2×14 -9.5%
10Durham UniversityUnited Kingdom 51.014.8%6.0×10 -25.1%

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 Computational Physics and Python Applications, country by country

Is Computational Physics and Python Applications research growing?

Output in 2022-2025 was 23% higher than in 2018-2021, peaking in 2025. The fastest-growing topics are Computational Physics and Python Applications.

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 Computational Physics and Python Applications as a percentage of every work published that year, 0.023% in 2024.

still counting0.020%0.040%Computational Physics and Python Applications0.023% in 202519801990200020102020

Fractional works of Computational Physics and Python Applications 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%Computational Physics and Python Applications10.4% 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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