Question 1

Which countries lead Medical Imaging Techniques and Applications research?

Accepted Answer

By volume, the United States and China publish the most (3k and 2.5k works in 2022-now).

Question 2

Which institutions lead Medical Imaging Techniques and Applications research?

Accepted Answer

By volume in 2022-now, Chinese Academy of Sciences publishes the most Medical Imaging Techniques and Applications research, followed by Harvard University and Centre National de la Recherche Scientifique.

Question 3

Who are the leading researchers in Medical Imaging Techniques and Applications?

Accepted Answer

The most-cited researchers publishing on Medical Imaging Techniques and Applications include Bert Vogelstein, Cyrus Cooper and Matthias Egger.

Question 4

Where is Medical Imaging Techniques and Applications research done?

Accepted Answer

The largest centres of Medical Imaging Techniques and Applications research in 2022-now are Beijing (China), Shanghai (China), Seoul (South Korea) and London (United Kingdom). Among places with at least 20 works in it, it is an unusually large share of all research in Forchheim.

Question 5

Where is the best place to study Medical Imaging Techniques and Applications?

Accepted Answer

Among universities, judged by research, University of Zurich, University of Bern and University of Groningen score highest, combining citation 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 Medical Imaging Techniques and Applications research growing?

Accepted Answer

Output in 2022-2025 was 8% higher than in 2018-2021, peaking in 2025. The fastest-growing topics are Medical Imaging Techniques and Applications.

Question 7

What are the most cited papers in Medical Imaging Techniques and Applications?

Accepted Answer

The most cited paper in Medical Imaging Techniques and Applications is "New response evaluation criteria in solid tumours: Revised RECIST guideline (version 1.1)" (E. A. Eisenhauer, P. Therasse, Jan Bogaerts et al., 2008), with 30,125 citations. Next come "Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information" (15,931) and "Fast robust automated brain extraction" (10,948).