Question 1

Which countries lead Signal Processing research?

Accepted Answer

On research quality in 2022-now, China, the United States and the United Kingdom rank highest in Signal Processing. By volume, China and India publish the most (21k and 10k works in 2022-now).

Question 2

Which institutions lead Signal Processing research?

Accepted Answer

Chinese Academy of Sciences (China) ranks first in Signal Processing on research quality in 2022-now, followed by Nanyang Technological University and University of Science and Technology of China.

Question 3

Who are the leading researchers in Signal Processing?

Accepted Answer

Counting only their work in Signal Processing, Anil Kumar Jain, Eamonn Keogh and David Zhang have the most papers in the world top 10% for their subfield and year beyond the 10% expected.

Question 4

Where is Signal Processing research done?

Accepted Answer

The largest centres of Signal Processing research in 2022-now are Beijing (China), Xi'an (China), Shanghai (China) and Nanjing (China). Among places with at least 20 works in it, it is an unusually large share of all research in Martigny-Combe, Marina del Rey and Wachtberg.

Question 5

Where is the best place to study Signal Processing?

Accepted Answer

Among universities, judged by research, Nanyang Technological University, Tsinghua University and University of Science and Technology of China 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 Signal Processing research growing?

Accepted Answer

Output in 2022-2025 was 20% higher than in 2018-2021, peaking in 2025. The fastest-growing topics are Time Series Analysis and Forecasting, Advanced Malware Detection Techniques and Music and Audio Processing.

Question 7

What are the most cited papers in Signal Processing?

Accepted Answer

The most cited paper in Signal Processing is "A new look at the statistical model identification" (Hirotugu Akaike, 1974), with 51,685 citations. Next come "Support-Vector Networks" (34,309) and "Learning representations by back-propagating errors" (32,003).