Question 1

Which countries lead Numerical methods in inverse problems research?

Accepted Answer

By volume, China and the United States publish the most (1.1k and 521 works in 2022-now).

Question 2

Which institutions lead Numerical methods in inverse problems research?

Accepted Answer

By volume in 2022-now, Russian Academy of Sciences publishes the most Numerical methods in inverse problems research, followed by Centre National de la Recherche Scientifique and Lomonosov Moscow State University.

Question 3

Who are the leading researchers in Numerical methods in inverse problems?

Accepted Answer

The most-cited researchers publishing on Numerical methods in inverse problems include John P. Perdew, Karl John Friston and Trevor Hastie.

Question 4

Where is Numerical methods in inverse problems research done?

Accepted Answer

The largest centres of Numerical methods in inverse problems research in 2022-now are Beijing (China), Moscow (Russia), Paris (France) and Shanghai (China). Among places with at least 20 works in it, it is an unusually large share of all research in Bukhara.

Question 5

Where is the best place to study Numerical methods in inverse problems?

Accepted Answer

Among universities, judged by research, City University of Hong Kong, Université Sultan Moulay Slimane and Chinese University of Hong Kong 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 Numerical methods in inverse problems research growing?

Accepted Answer

Output in 2022-2025 was 19% higher than in 2018-2021, peaking in 2024. The fastest-growing topics are Numerical methods in inverse problems.

Question 7

What are the most cited papers in Numerical methods in inverse problems?

Accepted Answer

The most cited paper in Numerical methods in inverse problems is "A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems" (Amir Beck, Marc Teboulle, 2009), with 12,347 citations. Next come "An iterative thresholding algorithm for linear inverse problems with a sparsity constraint" (5,044) and "Function minimization by conjugate gradients" (4,962).