Question 1

Which countries lead Decision Sciences research?

Accepted Answer

On research quality in 2022-now, the United States, China and the United Kingdom rank highest in Decision Sciences. By volume, the United States and China publish the most (35k and 35k works in 2022-now).

Question 2

Which institutions lead Decision Sciences research?

Accepted Answer

Stanford University (United States) ranks first in Decision Sciences on research quality in 2022-now, followed by Massachusetts Institute of Technology and Columbia University.

Question 3

Who are the leading researchers in Decision Sciences?

Accepted Answer

Counting only their work in Decision Sciences, David Moher, John P. A. Ioannidis and Dragan Stevan Pamucar have the most papers in the world top 10% for their subfield and year beyond the 10% expected.

Question 4

Where is Decision Sciences research done?

Accepted Answer

The largest centres of Decision Sciences research in 2022-now are Beijing (China), Shanghai (China), Jakarta (Indonesia) and London (United Kingdom). Among places with at least 20 works in it, it is an unusually large share of all research in Alachua and Pirassununga.

Question 5

Where is the best place to study Decision Sciences?

Accepted Answer

Among universities, judged by research, Stanford University, Massachusetts Institute of Technology and Harvard University score highest, combining standing in the field's ranking, 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 Decision Sciences research growing?

Accepted Answer

Output in 2022-2025 was 18% higher than in 2018-2021, peaking in 2025. The fastest-growing topics are Stock Market Forecasting Methods, Forecasting Techniques and Applications and Technology Adoption and User Behaviour.

Question 7

What are the most cited papers in Decision Sciences?

Accepted Answer

The most cited paper in Decision Sciences is "Using thematic analysis in psychology" (Virginia Braun, Victoria Clarke, 2006), with 193,920 citations. Next come "Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing" (112,351) and "Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives" (108,782).

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