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Topic · Artificial Intelligence

Data Analysis with R

Data Analysis with R is a research topic within Artificial Intelligence. Science Explorer counts 7.2k research works in it since 1950. 14.8% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on statistical computing and data analysis using the R language. It covers a wide range of topics including statistical analysis, data visualization, parallel computing, time series analysis, spatial data, machine learning, geospatial analysis, statistical modeling, and big data.

  • R language
  • statistical analysis
  • data visualization
  • parallel computing
  • time series analysis
  • spatial data
  • machine learning
  • geospatial analysis
  • statistical modeling
  • big data
Research works
7.2k
fractional, since 1950
In the world top 10%
1.1k
per year above
Top-10% rate
14.8%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+44%
the tick is no change

Which countries lead Data Analysis with R research?

By volume, the United States and Germany publish the most (533 and 138 works in 2022–2025).

By volume, 2022–2025

  1. 1 United States 533 works
  2. 2 Germany 138 works
  3. 3 United Kingdom 101 works
  4. 4 India 71 works
  5. 5 Italy 54 works
  6. 6 China 47 works
  7. 7 Canada 45 works
  8. 8 France 39 works
  9. 9 Netherlands 34 works
  10. 10 Australia 32 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: 48.8%Germany: 12.6%United Kingdom: 9.2%India: 6.5%6 others listed: 22.9%49%largest
United States533 · 48.8%Germany138 · 12.6%United Kingdom101 · 9.2%India71 · 6.5%6 others listed251 · 22.9%

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

Which institutions lead Data Analysis with R research?

By volume in 2022–2025, New York University publishes the most Data Analysis with R research, followed by University of California, Los Angeles and University of Washington.

By volume, 2022–2025

  1. 1 New York University United States 16 works
  2. 2 University of California, Los Angeles United States 14 works
  3. 3 University of Washington United States 14 works
  4. 4 GESIS - Leibniz Institute for the Social Sciences Germany 13 works
  5. 5 Drew University United States 10 works
  6. 6 World Water Watch United States 8 works
  7. 7 University of Michigan United States 8 works
  8. 8 University of Auckland New Zealand 8 works
  9. 9 Sapienza University of Rome Italy 7 works
  10. 10 University of Münster Germany 7 works

Who are the leading researchers in Data Analysis with R?

The most-cited researchers publishing on Data Analysis with R include Trevor Hastie.

  1. 1 Trevor Hastie 4.9k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

Where is Data Analysis with R research done?

The largest centres of Data Analysis with R research in 2022–2025 are New York (United States), Los Angeles (United States), London (United Kingdom) and Seattle (United States). Among places with at least 20 works in it, it is an unusually large share of all research in Los Angeles.

Largest cities, 2022–2025

  1. 1 New York United States 31 works
  2. 2 Los Angeles United States 23 works
  3. 3 London United Kingdom 20 works
  4. 4 Seattle United States 20 works
  5. 5 Rome Italy 16 works
  6. 6 Paris France 15 works
  7. 7 Mannheim Germany 15 works
  8. 8 Tokyo Japan 14 works
  9. 9 Washington D.C. United States 13 works
  10. 10 Munich Germany 11 works

Where it is the local speciality

  1. Los AngelesUS · 23.0 works5.4×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Data Analysis with R than the world average.

See Data Analysis with R on the map

Where is the best place to study Data Analysis with R?

Among universities, judged by research, University of California, Los Angeles, New York University and University of Washington 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%5%10%mean 5.45%fractional works in this node (log) →share in the world top 10% →University of California, Los Angeles: 14, 10.2%New York University: 16, 6.8%University of Washington: 14, 4.8%Drew University: 10, 0.0%University of Califo…New York UniversityUniversity of Washin…Drew University
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1University of California, Los Angeles United States 80.810.2%10.5×14 -58.1%
2New York University United States 77.46.8%13.7×16 -7.2%
3University of Washington United States 54.94.8%9.4×14 +209.2%
4Drew University United States 37.00.0%682.6×10 —

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 Data Analysis with R research growing?

Output in 2018–2022 was 44% higher than in 2013–2017, peaking in 2026. The fastest-growing topics are Data Analysis with R.

19801990200020102020
grewheldshrank

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.