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Topic · Biomedical Engineering

SAS software applications and methods

SAS software applications and methods is a research topic within Biomedical Engineering. Science Explorer counts 1.8k 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 covers the application of plasma in environmentally friendly catalyst preparation, selective monohydrolysis reactions, synthesis using ionic liquids, enzyme catalysis, and cross-coupling reactions. It also includes topics related to SAS programming and ethanol production.

  • Plasma
  • Catalysis
  • Environmentally Friendly
  • Selective Monohydrolysis
  • Ionic Liquids
  • Synthesis
  • Enzyme Catalysis
  • Cross-Coupling Reactions
  • SAS Programming
  • Ethanol Production
Research works
1.8k
fractional, since 1950
In the world top 10%
193
per year above
Top-10% rate
10.6%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
-15%
the tick is no change
Largest producer
United States
47% of the 10 largest, 2022-now
SAS software applications and methods

Which countries lead SAS software applications and methods research?

By volume, the United States and China publish the most (80 and 14 works in 2022-now).

By volume, 2022-now

  1. 1 United States 80 works
  2. 2 China 14 works
  3. 3 India 13 works
  4. 4 United Kingdom 13 works
  5. 5 Germany 12 works
  6. 6 Italy 10 works
  7. 7 Indonesia 8 works
  8. 8 France 8 works
  9. 9 Japan 7 works
  10. 10 Spain 5 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: 46.9%China: 8.4%India: 7.8%United Kingdom: 7.6%6 others listed: 29.4%47%largest
United States80 · 46.9%China14 · 8.4%India13 · 7.8%United Kingdom13 · 7.6%6 others listed50 · 29.4%

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

Which institutions lead SAS software applications and methods research?

By volume in 2022-now, Rutgers, The State University of New Jersey publishes the most SAS software applications and methods research, followed by University of Maryland, Baltimore and Centre National de la Recherche Scientifique.

By volume, 2022-now

  1. 1 Rutgers, The State University of New JerseyUnited States 5 works
  2. 2 University of Maryland, BaltimoreUnited States 4 works
  3. 3 Centre National de la Recherche ScientifiqueFrance 4 works
  4. 4 University of North Carolina at Chapel HillUnited States 3 works
  5. 5 Sapienza University of RomeItaly 3 works
  6. 6 Helmholtz Association of German Research CentresGermany 3 works
  7. 7 Chinese Academy of SciencesChina 2 works
  8. 8 Iowa Pork Producers AssociationUnited States 2 works
  9. 9 American Studies AssociationUnited States 2 works
  10. 10 Consejo Superior de Investigaciones CientíficasSpain 1 works

Who are the leading researchers in SAS software applications and methods?

The most-cited researchers publishing on SAS software applications and methods include Marko Sarstedt.

  1. 1 Marko Sarstedt Germany 221k 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 SAS software applications and methods?

The most cited paper in SAS software applications and methods is "FSTAT (Version 1.2): A Computer Program to Calculate F-Statistics" (Jérôme Goudet, 1995), with 7,749 citations. Next come "Easy SAS Calculations for Risk or Prevalence Ratios and Differences" (1,764) and "The puzzle of high temperature superconductivity in layered iron pnictides and chalcogenides" (1,661).

Most cited papers
#PaperReleasedCitations
1 FSTAT (Version 1.2): A Computer Program to Calculate F-Statistics Jérôme Goudet · Journal of Heredity Nov 1995 7,749
2 Easy SAS Calculations for Risk or Prevalence Ratios and Differences Donna L. Spiegelman · American Journal of Epidemiology 29 Jun 2005 1,764
3 The puzzle of high temperature superconductivity in layered iron pnictides and chalcogenides David C. Johnston · Advances In Physics Open access 9 Oct 2010 1,661
4 The discrete correlation function - A new method for analyzing unevenly sampled variability data Rick Edelson, Julian H. Krolik · The Astrophysical Journal Oct 1988 1,245
5 SAS System for Linear Models Mervyn G. Marasinghe, Rudolf J. Freund, Ramon C. Littell et al. · Technometrics Feb 1988 1,058
All 100 most cited papers, with filters and sorting

Where is SAS software applications and methods research done?

The largest centres of SAS software applications and methods research in 2022-now are New Brunswick (United States), Baltimore (United States), Rome (Italy) and Beijing (China).

Largest cities, 2022-now

  1. 1 New BrunswickUnited States 5 works
  2. 2 BaltimoreUnited States 4 works
  3. 3 RomeItaly 4 works
  4. 4 BeijingChina 4 works
  5. 5 ParisFrance 3 works
  6. 6 Chapel HillUnited States 3 works
  7. 7 Los AngelesUnited States 3 works
  8. 8 LondonUnited Kingdom 2 works
  9. 9 HamburgGermany 2 works
  10. 10 BerkeleyUnited States 2 works
See SAS software applications and methods on the map

Is SAS software applications and methods research growing?

Output in 2022-2025 was 15% 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 SAS software applications and methods as a percentage of every work published that year, 0.00058% in 2024.

still counting0.0020%0.0040%0.0060%SAS software applications and methods0.0012% in 202519801990200020102020

Fractional works of SAS software applications and methods 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%SAS software applications and methods9.5% 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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