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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. 10.6% 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%
766
per year above
Top-10% rate
10.6%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
-1%
the tick is no change
Largest producer
United States
46% of the 10 largest, 2022-now
Data Analysis with R

Which countries lead Data Analysis with R research?

By volume, the United States and Germany publish the most (688 and 187 works in 2022-now).

By volume, 2022-now

  1. 1 United States 688 works
  2. 2 Germany 187 works
  3. 3 United Kingdom 137 works
  4. 4 India 98 works
  5. 5 Italy 75 works
  6. 6 Australia 71 works
  7. 7 China 69 works
  8. 8 Canada 58 works
  9. 9 France 54 works
  10. 10 Netherlands 49 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: 46.2%Germany: 12.6%United Kingdom: 9.2%India: 6.6%6 others listed: 25.3%46%largest
United States688 · 46.2%Germany187 · 12.6%United Kingdom137 · 9.2%India98 · 6.6%6 others listed377 · 25.3%

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

Which institutions lead Data Analysis with R research?

By volume in 2022-now, Queensland University of Technology publishes the most Data Analysis with R research, followed by American Society of Genealogists and University of Washington.

By volume, 2022-now

  1. 1 Queensland University of TechnologyAustralia 33 works
  2. 2 American Society of GenealogistsUnited States 27 works
  3. 3 University of WashingtonUnited States 25 works
  4. 4 Leibniz AssociationGermany 20 works
  5. 5 Centre National de la Recherche ScientifiqueFrance 18 works
  6. 6 New York UniversityUnited States 16 works
  7. 7 University of California, Los AngelesUnited States 15 works
  8. 8 Helmholtz Association of German Research CentresGermany 11 works
  9. 9 Drew UniversityUnited States 10 works
  10. 10 Ludwig-Maximilians-Universität MünchenGermany 9 works

Who are the leading researchers in Data Analysis with R?

The most-cited researchers publishing on Data Analysis with R include David Moher, Douglas G. Altman and Robert John Tibshirani.

  1. 1 David Moher Canada 898k citations
  2. 2 Douglas G. Altman United Kingdom 862k citations
  3. 3 Robert John Tibshirani United States 396k citations
  4. 4 Julian P. T. Higgins United Kingdom 390k citations
  5. 5 Matthias Egger Switzerland 326k citations
  6. 6 John P. A. Ioannidis United States 317k citations
  7. 7 Donald B. Rubin United States 301k citations
  8. 8 Trevor Hastie United States 301k 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 Data Analysis with R?

The most cited paper in Data Analysis with R is "Fitting Linear Mixed-Effects Models Using lme4" (Douglas M. Bates, Martin Mächler, Benjamin M. Bolker et al., 2015), with 89,183 citations. Next come "lmerTest Package: Tests in Linear Mixed Effects Models" (24,675) and "Welcome to the Tidyverse" (22,949).

Most cited papers
#PaperReleasedCitations
1 Fitting Linear Mixed-Effects Models Using lme4 Douglas M. Bates, Martin Mächler, Benjamin M. Bolker et al. · Journal of Statistical Software Open access 2015 89,183
2 lmerTest Package: Tests in Linear Mixed Effects Models Alexandra Kuznetsova, Per B. Brockhoff, Rune Haubo Bojesen Christensen · Journal of Statistical Software Open access 2017 24,675
3 Welcome to the Tidyverse Hadley Wickham et al. · The Journal of Open Source Software Open access 21 Nov 2019 22,949
4 Conducting Meta-Analyses in R with the metafor Package Wolfgang Viechtbauer · Journal of Statistical Software Open access 2010 19,468
5 bibliometrix : An R-tool for comprehensive science mapping analysis Massimo Aria, Corrado Cuccurullo · Journal of Informetrics 12 Sep 2017 15,825
All 98 most cited papers, with filters and sorting

Where is Data Analysis with R research done?

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

Largest cities, 2022-now

  1. 1 BrisbaneAustralia 37 works
  2. 2 New YorkUnited States 35 works
  3. 3 SeattleUnited States 33 works
  4. 4 LondonUnited Kingdom 27 works
  5. 5 SharonUnited States 27 works
  6. 6 Los AngelesUnited States 25 works
  7. 7 ParisFrance 20 works
  8. 8 RomeItaly 20 works
  9. 9 Washington D.C.United States 18 works
  10. 10 MannheimGermany 17 works

Where it is the local speciality

  1. SharonUS · 26.7 works127×
  2. BrisbaneAU · 36.8 works9.4×
  3. SeattleUS · 32.6 works8.6×
← 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, Queensland University of Technology, University of Washington and University of California, Los Angeles 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%60%mean 14.48%fractional works in this field (log) →share of work in the world top 10% →Sapienza University …University of Califo…University of Washin…Queensland Universit…
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
1Queensland University of TechnologyAustralia 59.14.8%56.0×34 +2.5%
2University of WashingtonUnited States 59.07.0%12.3×25 +72.9%
3University of California, Los AngelesUnited States 53.318.2%7.6×15 +354.5%
4Sapienza University of RomeItaly 52.049.3%4.1×8 -
5Ludwig-Maximilians-Universität MünchenGermany 46.930.7%5.7×9 +41.3%
6New York UniversityUnited States 42.85.2%8.1×16 +8.2%
7Utrecht UniversityNetherlands 40.515.8%6.8×8 +97.5%
8University of MünsterGermany 31.36.9%10.8×8 +75.8%
9Columbia UniversityUnited States 26.26.9%4.2×8 +20.3%
10Drew UniversityUnited States 21.90.0%569.1×10 +11.4%

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 Data Analysis with R, country by country

Is Data Analysis with R research growing?

Output in 2022-2025 was 1% lower than in 2018-2021, peaking in 2026.

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 Data Analysis with R as a percentage of every work published that year, 0.0060% in 2024.

still counting0.0050%0.010%Data Analysis with R0.0085% in 202519801990200020102020

Fractional works of Data Analysis with R 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%Data Analysis with R10.7% 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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