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Diverse Scientific and Engineering Research

Diverse Scientific and Engineering Research is a research topic within Computational Mechanics. Science Explorer counts 1.4k research works in it since 1950. 9.8% of them reached the world's top 10% most cited for their field and year.

This cluster of papers covers the application of morphological analysis in various scientific and technological domains, including computational physics, educational reform, system design, statistical analysis, innovation, and hierarchical decision making. It explores the use of morphological methods for structural synthesis and modeling, highlighting its relevance in addressing complex problems and designing innovative solutions.

  • Morphological Analysis
  • Computational Physics
  • Educational Reform
  • System Design
  • Statistical Analysis
  • Innovation
  • Modelling Methods
  • Hierarchical Decision Making
  • Structural Synthesis
  • Technology Implications
Research works
1.4k
fractional, since 1950
In the world top 10%
135
per year above
Top-10% rate
9.8%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
-13%
the tick is no change
Largest producer
United States
44% of the 10 largest, 2022-now
Diverse Scientific and Engineering Research

Which countries lead Diverse Scientific and Engineering Research research?

By volume, the United States and Germany publish the most (35 and 7 works in 2022-now).

By volume, 2022-now

  1. 1 United States 35 works
  2. 2 Germany 7 works
  3. 3 Russia 7 works
  4. 4 India 6 works
  5. 5 United Kingdom 6 works
  6. 6 Italy 6 works
  7. 7 Indonesia 5 works
  8. 8 China 4 works
  9. 9 Nigeria 3 works
  10. 10 France 3 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: 43.6%Germany: 8.7%Russia: 8.0%India: 7.6%6 others listed: 32.1%44%largest
United States35 · 43.6%Germany7 · 8.7%Russia7 · 8.0%India6 · 7.6%6 others listed26 · 32.1%

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

Which institutions lead Diverse Scientific and Engineering Research research?

By volume in 2022-now, Russian Academy of Sciences publishes the most Diverse Scientific and Engineering Research research, followed by Rutgers, The State University of New Jersey and Atenisi Institute.

Who are the leading researchers in Diverse Scientific and Engineering Research?

The most-cited researchers publishing on Diverse Scientific and Engineering Research include Robert John Tibshirani and Bradley Efron.

  1. 1 Robert John Tibshirani United States 396k citations
  2. 2 Bradley Efron United States 140k 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 Diverse Scientific and Engineering Research?

The most cited paper in Diverse Scientific and Engineering Research is "An analysis of variance test for normality (complete samples)" (Samuel S. Shapiro, M. B. Wilk, 1965), with 19,971 citations. Next come "A Statistical Distribution Function of Wide Applicability" (11,600) and "Bootstrap Methods and Their Application" (5,533).

Most cited papers
#PaperReleasedCitations
1 An analysis of variance test for normality (complete samples) Samuel S. Shapiro, M. B. Wilk · Biometrika Dec 1965 19,971
2 A Statistical Distribution Function of Wide Applicability Waloddi Weibull · Journal of Applied Mechanics Sep 1951 11,600
3 Bootstrap Methods and Their Application Thomas M. Loughin, A. C. Davison, D. V. Hinkley · Journal of the American Statistical Association Mar 1999 5,533
4 Descriptive statistics and normality tests for statistical data Anshul Gupta, Prabhakar Mishra, ChandraM Pandey et al. · Annals of Cardiac Anaesthesia Open access 2019 2,647
5 The Statistical Analysis of Failure Time Data John P. Klein · Technometrics Aug 1982 2,242
All 100 most cited papers, with filters and sorting

Where is Diverse Scientific and Engineering Research research done?

The largest centres of Diverse Scientific and Engineering Research research in 2022-now are Moscow (Russia), New Brunswick (United States), New York (United States) and Nuku'alofa (Tonga). Among places with at least 20 works in it, it is an unusually large share of all research in Moscow.

Largest cities, 2022-now

  1. 1 MoscowRussia 5 works
  2. 2 New BrunswickUnited States 2 works
  3. 3 New YorkUnited States 2 works
  4. 4 Nuku'alofaTonga 2 works
  5. 5 LondonUnited Kingdom 2 works
  6. 6 SouthamptonUnited Kingdom 2 works
  7. 7 AthensGreece 1 works
  8. 8 MissoulaUnited States 1 works
  9. 9 TbilisiGeorgia 1 works
  10. 10 KyivUkraine 1 works

Where it is the local speciality

  1. MoscowRU · 27.4 works2.2×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Diverse Scientific and Engineering Research than the world average.

See Diverse Scientific and Engineering Research on the map

Is Diverse Scientific and Engineering Research research growing?

Output in 2022-2025 was 13% lower than in 2018-2021, peaking in 2013.

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 Diverse Scientific and Engineering Research as a percentage of every work published that year, 0.00042% in 2024.

still counting0.0020%0.0040%0.0060%Diverse Scientific and Engineering Research0.00055% in 202519801990200020102020

Fractional works of Diverse Scientific and Engineering Research 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%Diverse Scientific and Engineering Research12.1% 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.

Discussion

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