Question 1

Which countries lead Sensory Analysis and Statistical Methods research?

Accepted Answer

By volume, the United States and Brazil publish the most (416 and 363 works in 2022-now).

Question 2

Which institutions lead Sensory Analysis and Statistical Methods research?

Accepted Answer

By volume in 2022-now, Centre National de la Recherche Scientifique publishes the most Sensory Analysis and Statistical Methods research, followed by Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement and Wageningen University & Research.

Question 3

Who are the leading researchers in Sensory Analysis and Statistical Methods?

Accepted Answer

The most-cited researchers publishing on Sensory Analysis and Statistical Methods include Walter Churchill Willett, Robert John Tibshirani and Julian P. T. Higgins.

Question 4

Where is Sensory Analysis and Statistical Methods research done?

Accepted Answer

The largest centres of Sensory Analysis and Statistical Methods research in 2022-now are Beijing (China), Paris (France), Tokyo (Japan) and São Paulo (Brazil). Among places with at least 20 works in it, it is an unusually large share of all research in Lavras and Wageningen.

Question 5

Where is the best place to study Sensory Analysis and Statistical Methods?

Accepted Answer

Among universities, judged by research, Wageningen University & Research, Beijing Technology and Business University and Acadia 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.

Question 6

Is Sensory Analysis and Statistical Methods research growing?

Accepted Answer

Output in 2022-2025 was 5% lower than in 2018-2021, peaking in 2021.

Question 7

What are the most cited papers in Sensory Analysis and Statistical Methods?

Accepted Answer

The most cited paper in Sensory Analysis and Statistical Methods is "A power primer." (Jacob Cohen, 1992), with 42,833 citations. Next come "Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses" (37,775) and "ggplot2: Elegant Graphics for Data Analysis" (14,905).