Science Explorer Interactive view Map

Probability and Statistical Research

Probability and Statistical Research is a research topic within Statistics and Probability. Science Explorer counts 5.1k research works in it since 1950. 8.7% 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 probability theory, statistical modeling, and data analysis. It includes discussions on survival models, nonparametric statistics, random variables, confidence intervals, data mining, clinical data repositories, and the application of Markov analysis. The cluster also delves into the gambler's ruin problem and its variations, showcasing a comprehensive exploration of probability and statistical methods.

  • Probability Theory
  • Statistical Modeling
  • Survival Models
  • Data Mining
  • Clinical Data
  • Random Variables
  • Confidence Intervals
  • Nonparametric Statistics
  • Gambler's Ruin Problem
  • Markov Analysis
Research works
5.1k
fractional, since 1950
In the world top 10%
442
per year above
Top-10% rate
8.7%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
-12%
the tick is no change

Which countries lead Probability and Statistical Research research?

By volume, Germany and the United States publish the most (117 and 94 works in 2022–2025).

By volume, 2022–2025

  1. 1 Germany 117 works
  2. 2 United States 94 works
  3. 3 United Kingdom 39 works
  4. 4 Poland 25 works
  5. 5 France 23 works
  6. 6 Italy 19 works
  7. 7 China 15 works
  8. 8 Canada 14 works
  9. 9 Russia 14 works
  10. 10 Switzerland 12 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.

Germany: 31.6%United States: 25.2%United Kingdom: 10.4%Poland: 6.7%6 others listed: 26.2%32%largest
Germany117 · 31.6%United States94 · 25.2%United Kingdom39 · 10.4%Poland25 · 6.7%6 others listed97 · 26.2%

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

Which institutions lead Probability and Statistical Research research?

By volume in 2022–2025, Durham University publishes the most Probability and Statistical Research research, followed by TU Dortmund University and Karlsruhe Institute of Technology.

Where is Probability and Statistical Research research done?

The largest centres of Probability and Statistical Research research in 2022–2025 are Durham (United Kingdom), London (United Kingdom), Warsaw (Poland) and Munich (Germany).

Largest cities, 2022–2025

  1. 1 Durham United Kingdom 13 works
  2. 2 London United Kingdom 8 works
  3. 3 Warsaw Poland 8 works
  4. 4 Munich Germany 8 works
  5. 5 Paris France 8 works
  6. 6 Karlsruhe Germany 7 works
  7. 7 Dortmund Germany 7 works
  8. 8 Berlin Germany 6 works
  9. 9 Leverkusen Germany 5 works
  10. 10 Rome Italy 5 works
See Probability and Statistical Research on the map

Where is the best place to study Probability and Statistical Research?

Among universities, judged by research, Durham 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.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1 Durham UniversityUnited Kingdom 0.010.5%72.2×13 -41.8%

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 Probability and Statistical Research research growing?

Output in 2018–2022 was 12% lower than in 2013–2017, peaking in 2025. The fastest-growing topics are Probability and Statistical Research.

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.