Science Explorer Interactive view Map

Advanced Statistical Process Monitoring

Advanced Statistical Process Monitoring is a research topic within Statistics, Probability and Uncertainty. Science Explorer counts 21k research works in it since 1950. 16.0% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the application of statistical process control (SPC) in research and healthcare improvement. It covers topics such as control charts, multivariate monitoring, quality assurance, linear profiles, change-point detection, process capability indices, risk-adjusted charts, and profile monitoring in the context of healthcare and public health surveillance.

  • Statistical Process Control
  • Healthcare Improvement
  • Control Charts
  • Multivariate Monitoring
  • Quality Assurance
  • Linear Profiles
  • Change-Point Detection
  • Process Capability Indices
  • Risk-Adjusted Charts
  • Profile Monitoring
Research works
21k
fractional, since 1950
In the world top 10%
3.4k
per year above
Top-10% rate
16.0%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+3%
the tick is no change

Which countries lead Advanced Statistical Process Monitoring research?

By volume, China and the United States publish the most (438 and 421 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 438 works
  2. 2 United States 421 works
  3. 3 India 219 works
  4. 4 Germany 118 works
  5. 5 Indonesia 93 works
  6. 6 Pakistan 84 works
  7. 7 Taiwan 78 works
  8. 8 Italy 75 works
  9. 9 United Kingdom 74 works
  10. 10 Iran 74 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.

China: 26.2%United States: 25.2%India: 13.1%Germany: 7.0%6 others listed: 28.5%26%largest
China438 · 26.2%United States421 · 25.2%India219 · 13.1%Germany118 · 7.0%6 others listed478 · 28.5%

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

Which institutions lead Advanced Statistical Process Monitoring research?

By volume in 2022–2025, King Mongkut's University of Technology North Bangkok publishes the most Advanced Statistical Process Monitoring research, followed by Quaid-i-Azam University and Sepuluh Nopember Institute of Technology.

Who are the leading researchers in Advanced Statistical Process Monitoring?

The most-cited researchers publishing on Advanced Statistical Process Monitoring include George E. P. Box, H. Vincent Poor and John W. Tukey.

  1. 1 George E. P. Box United States 10k citations
  2. 2 H. Vincent Poor United States 9.5k citations
  3. 3 John W. Tukey United States 4.4k citations
  4. 4 Eric R. Ziegel United States 3.7k citations

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

Where is Advanced Statistical Process Monitoring research done?

The largest centres of Advanced Statistical Process Monitoring research in 2022–2025 are Beijing (China), Shanghai (China), Bangkok (Thailand) and Nanjing (China). Among places with at least 20 works in it, it is an unusually large share of all research in Taichung and Islamabad.

Largest cities, 2022–2025

  1. 1 Beijing China 92 works
  2. 2 Shanghai China 41 works
  3. 3 Bangkok Thailand 35 works
  4. 4 Nanjing China 30 works
  5. 5 Islamabad Pakistan 29 works
  6. 6 Tehran Iran 25 works
  7. 7 Seoul South Korea 24 works
  8. 8 Xi'an China 22 works
  9. 9 Taipei Taiwan 22 works
  10. 10 Hangzhou China 21 works

Where it is the local speciality

  1. TaichungTW · 20.8 works8.4×
  2. IslamabadPK · 29.5 works7.4×
← less than its size predictsmore →

Location quotient: how much more of its research is in Advanced Statistical Process Monitoring than the world average.

See Advanced Statistical Process Monitoring on the map

Where is the best place to study Advanced Statistical Process Monitoring?

Among universities, judged by research, COMSATS University Islamabad, King Fahd University of Petroleum and Minerals and King Mongkut's University of Technology North Bangkok 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 16.1%fractional works in this node (log) →share in the world top 10% →COMSATS University Islamabad: 9, 37.6%King Fahd University of Petroleum and Minerals: 12, 36.6%King Mongkut's University of Technology North Bangkok: 27, 9.2%Quaid-i-Azam University: 16, 7.7%King Abdulaziz University: 13, 19.6%Sepuluh Nopember Institute of Technology: 14, 0.0%Indian Statistical Institute: 12, 9.7%Universiti Sains Malaysia: 11, 8.9%Beihang University: 13, 15.9%Northeastern University: 9, 15.8%COMSATS University I…King Fahd University…King Mongkut's Unive…Quaid-i-Azam Univers…
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
1 COMSATS University IslamabadPakistan 81.237.6%13.7×9 +269.4%
2 King Fahd University of Petroleum and MineralsSaudi Arabia 72.136.6%12.3×12 +47.8%
3 King Mongkut's University of Technology North BangkokThailand 70.09.2%77.8×27 +389.5%
4 Quaid-i-Azam UniversityPakistan 65.07.7%40.0×16 +236.3%
5 King Abdulaziz UniversitySaudi Arabia 57.219.6%8.5×13
6 Sepuluh Nopember Institute of TechnologyIndonesia 49.20.0%12.2×14 +455.6%
7 Indian Statistical InstituteIndia 42.39.7%54.0×12 -39.4%
8 Universiti Sains MalaysiaMalaysia 39.78.9%7.0×11 +66.6%
9 Beihang UniversityChina 30.915.9%4.2×13 -7.4%
10 Northeastern UniversityChina 28.615.8%3.9×9 +58.4%

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 Advanced Statistical Process Monitoring research growing?

Output in 2018–2022 was 3% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Advanced Statistical Process Monitoring.

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.