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Topic · Statistics, Probability and Uncertainty

Scientific Measurement and Uncertainty Evaluation

Scientific Measurement and Uncertainty Evaluation is a research topic within Statistics, Probability and Uncertainty. Science Explorer counts 25k 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 advancements in measurement techniques, uncertainty evaluation, and the redefinition of SI units. It includes topics such as the determination of fundamental constants like the Avogadro constant and Planck constant, the use of Monte Carlo methods for uncertainty estimation, and the development of new approaches for expressing measurement uncertainty. Additionally, it explores the quality assurance standards and the evaluation of reference materials in metrology.

  • Measurement Uncertainty
  • Redefinition of SI Units
  • Avogadro Constant
  • Planck Constant
  • Watt Balance
  • Monte Carlo Method
  • Reference Materials
  • Bayesian Statistics
  • Quality Assurance
  • Atomic Weight Determination
Research works
25k
fractional, since 1950
In the world top 10%
2.5k
per year above
Top-10% rate
10.0%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
-15%
the tick is no change
Largest producer
China
22% of the 10 largest, 2022-now
Scientific Measurement and Uncertainty Evaluation

Which countries lead Scientific Measurement and Uncertainty Evaluation research?

By volume, China and the United States publish the most (337 and 332 works in 2022-now).

By volume, 2022-now

  1. 1 China 337 works
  2. 2 United States 332 works
  3. 3 Germany 199 works
  4. 4 Russia 159 works
  5. 5 India 111 works
  6. 6 United Kingdom 98 works
  7. 7 Italy 96 works
  8. 8 France 79 works
  9. 9 Japan 67 works
  10. 10 Brazil 61 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: 21.9%United States: 21.6%Germany: 12.9%Russia: 10.3%6 others listed: 33.3%22%largest
China337 · 21.9%United States332 · 21.6%Germany199 · 12.9%Russia159 · 10.3%6 others listed512 · 33.3%

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

Which institutions lead Scientific Measurement and Uncertainty Evaluation research?

By volume in 2022-now, Physikalisch-Technische Bundesanstalt publishes the most Scientific Measurement and Uncertainty Evaluation research, followed by D.I. Mendeleyev Institute for Metrology and National Institute of Standards and Technology.

By volume, 2022-now

  1. 1 Physikalisch-Technische BundesanstaltGermany 41 works
  2. 2 D.I. Mendeleyev Institute for MetrologyRussia 31 works
  3. 3 National Institute of Standards and TechnologyUnited States 31 works
  4. 4 Russian Academy of SciencesRussia 25 works
  5. 5 National Physical LaboratoryUnited Kingdom 22 works
  6. 6 Istituto Nazionale di Ricerca MetrologicaItaly 21 works
  7. 7 Chinese Academy of SciencesChina 21 works
  8. 8 National Institute of Advanced Industrial Science and TechnologyJapan 21 works
  9. 9 Centre National de la Recherche ScientifiqueFrance 21 works
  10. 10 National Institute of MetrologyChina 20 works

Who are the leading researchers in Scientific Measurement and Uncertainty Evaluation?

The most-cited researchers publishing on Scientific Measurement and Uncertainty Evaluation include Amos Tversky and Takashi Taniguchi.

  1. 1 Amos Tversky United States 327k citations
  2. 2 Takashi Taniguchi Japan 227k 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 Scientific Measurement and Uncertainty Evaluation?

The most cited paper in Scientific Measurement and Uncertainty Evaluation is "Data Reduction and Error Analysis for the Physical Sciences" (Philip R. Bevington, D. Keith Robinson, J. Morris Blair et al., 1993), with 13,760 citations. Next come "Describing the uncertainties in experimental results" (9,840) and "Two-sided confidence intervals for the single proportion: comparison of seven methods" (5,164).

Most cited papers
#PaperReleasedCitations
1 Data Reduction and Error Analysis for the Physical Sciences Philip R. Bevington, D. Keith Robinson, J. Morris Blair et al. · Computers in Physics Open access Jul 1993 13,760
2 Describing the uncertainties in experimental results Robert J. Moffat · Experimental Thermal and Fluid Science Open access 1988 9,840
3 Two-sided confidence intervals for the single proportion: comparison of seven methods Robert Gordon Newcombe · Statistics in Medicine 30 Apr 1998 5,164
4 TESTING FOR SERIAL CORRELATION IN LEAST SQUARES REGRESSION. II James Durbin, G. S. Watson · Biometrika 1951 3,650
5 Elementary Theory of Angular Momentum M. E. Rose, Bernard T. Feld · Physics Today Open access Nov 1957 3,611
All 99 most cited papers, with filters and sorting

Where is Scientific Measurement and Uncertainty Evaluation research done?

The largest centres of Scientific Measurement and Uncertainty Evaluation research in 2022-now are Beijing (China), Moscow (Russia), Saint Petersburg (Russia) and Braunschweig (Germany). Among places with at least 20 works in it, it is an unusually large share of all research in Gaithersburg, Braunschweig and Turin.

Largest cities, 2022-now

  1. 1 BeijingChina 84 works
  2. 2 MoscowRussia 65 works
  3. 3 Saint PetersburgRussia 49 works
  4. 4 BraunschweigGermany 44 works
  5. 5 LondonUnited Kingdom 38 works
  6. 6 GaithersburgUnited States 31 works
  7. 7 ShanghaiChina 29 works
  8. 8 TurinItaly 26 works
  9. 9 ParisFrance 26 works
  10. 10 Rio de JaneiroBrazil 25 works

Where it is the local speciality

  1. GaithersburgUS · 31.0 works68×
  2. BraunschweigDE · 44.4 works52×
  3. TurinIT · 25.8 works9.3×
  4. TsukubaJP · 21.7 works8.5×
  5. Saint PetersburgRU · 48.9 works8.0×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Scientific Measurement and Uncertainty Evaluation than the world average.

See Scientific Measurement and Uncertainty Evaluation on the map

Where is the best place to study Scientific Measurement and Uncertainty Evaluation?

Among universities, judged by research, King Mongkut's University of Technology North Bangkok, Xi'an Jiaotong University and Quaid-i-Azam 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.

0%20%40%mean 17.7857%fractional works in this field (log) →share of work in the world top 10% →Xi'an Jiaotong Unive…Politecnico di MilanoKing Mongkut's Unive…Quaid-i-Azam Univers…
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
1King Mongkut's University of Technology North BangkokThailand 59.613.7%62.4×16 +330.1%
2Xi'an Jiaotong UniversityChina 57.040.3%3.0×11 -13.6%
3Quaid-i-Azam UniversityPakistan 49.69.6%23.6×11 -28.5%
4Politecnico di MilanoItaly 41.923.5%6.0×9 +9.2%
5Sapienza University of RomeItaly 30.110.1%4.5×11 +644.3%
6Tsinghua UniversityChina 17.815.2%2.1×10 -25.3%
7Technische Universität IlmenauGermany 14.012.1%42.8×8 -30.9%

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 Scientific Measurement and Uncertainty Evaluation, country by country

Is Scientific Measurement and Uncertainty Evaluation research growing?

Output in 2022-2025 was 15% lower than in 2018-2021, peaking in 2018.

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 Scientific Measurement and Uncertainty Evaluation as a percentage of every work published that year, 0.011% in 2024.

still counting0.050%0.10%Scientific Measurement and Uncertainty Evaluation0.0090% in 202519801990200020102020

Fractional works of Scientific Measurement and Uncertainty Evaluation 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%Scientific Measurement and Uncertainty Evaluation10.0% 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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