Question 1

Which countries lead Engineering research?

Accepted Answer

On research quality in 2022-now, China, the United States and the United Kingdom rank highest in Engineering. By volume, China and the United States publish the most (1.3M and 339k works in 2022-now).

Question 2

Which institutions lead Engineering research?

Accepted Answer

Chinese Academy of Sciences (China) ranks first in Engineering on research quality in 2022-now, followed by Tsinghua University and Shanghai Jiao Tong University.

Question 3

Who are the leading researchers in Engineering?

Accepted Answer

Counting only their work in Engineering, Zhong Lin Wang, Josep Maria Guerrero and Wei Huang have the most papers in the world top 10% for their subfield and year beyond the 10% expected.

Question 4

Where is Engineering research done?

Accepted Answer

The largest centres of Engineering research in 2022-now are Beijing (China), Shanghai (China), Xi'an (China) and Nanjing (China). Among places with at least 20 works in it, it is an unusually large share of all research in Winchester and Sankt Florian am Inn.

Question 5

Where is the best place to study Engineering?

Accepted Answer

Among universities, judged by research, Tsinghua University, Shanghai Jiao Tong University and Hong Kong Polytechnic 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 Engineering research growing?

Accepted Answer

Output in 2022-2025 was 22% higher than in 2018-2021, peaking in 2025. The fastest-growing topics are Advanced Battery Technologies Research, Fault Detection and Control Systems and Advanced Battery Materials and Technologies.

Question 7

What are the most cited papers in Engineering?

Accepted Answer

The most cited paper in Engineering is "U-Net: Convolutional Networks for Biomedical Image Segmentation" (Olaf Ronneberger, Philipp F. Fischer, Thomas Brox, 2015), with 92,751 citations. Next come "Very Deep Convolutional Networks for Large-Scale Image Recognition" (75,434) and "Special points for Brillouin-zone integrations" (71,952).