Question 1

Which countries lead Aerospace Engineering research?

Accepted Answer

On research quality in 2022-now, China, the United States and the United Kingdom rank highest in Aerospace Engineering. By volume, China and the United States publish the most (106k and 36k works in 2022-now).

Question 2

Which institutions lead Aerospace Engineering research?

Accepted Answer

Chinese Academy of Sciences (China) ranks first in Aerospace Engineering on research quality in 2022-now, followed by Max Planck Society and Tsinghua University.

Question 3

Who are the leading researchers in Aerospace Engineering?

Accepted Answer

Counting only their work in Aerospace Engineering, Tie Jun Cui, Peter Kaehuei Liaw and Guanglei Wu have the most papers in the world top 10% for their subfield and year beyond the 10% expected.

Question 4

Where is Aerospace Engineering research done?

Accepted Answer

The largest centres of Aerospace Engineering research in 2022-now are Beijing (China), Xi'an (China), Nanjing (China) and Shanghai (China). Among places with at least 20 works in it, it is an unusually large share of all research in Capua, Henan and Sint-Genesius-Rode.

Question 5

Where is the best place to study Aerospace Engineering?

Accepted Answer

Among universities, judged by research, Tsinghua University, Beihang University and Harbin Institute of Technology 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 Aerospace Engineering research growing?

Accepted Answer

Output in 2022-2025 was 33% higher than in 2018-2021, peaking in 2025. The fastest-growing topics are Satellite Communication Systems, Infrared Target Detection Methodologies and Military Technology and Strategies.

Question 7

What are the most cited papers in Aerospace Engineering?

Accepted Answer

The most cited paper in Aerospace Engineering is "Distinctive Image Features from Scale-Invariant Keypoints" (David G. Lowe, 2004), with 56,041 citations. Next come "Random sample consensus" (26,036) and "Geant4—a simulation toolkit" (25,572).