Question 1

Which countries lead Time Series Analysis and Forecasting research?

Accepted Answer

By volume, China and the United States publish the most (2.9k and 966 works in 2022-now).

Question 2

Which institutions lead Time Series Analysis and Forecasting research?

Accepted Answer

By volume in 2022-now, Chinese Academy of Sciences publishes the most Time Series Analysis and Forecasting research, followed by Centre National de la Recherche Scientifique and Tsinghua University.

Question 3

Who are the leading researchers in Time Series Analysis and Forecasting?

Accepted Answer

The most-cited researchers publishing on Time Series Analysis and Forecasting include Yoshua Bengio, Geoffrey E. Hinton and Karl John Friston.

Question 4

Where is Time Series Analysis and Forecasting research done?

Accepted Answer

The largest centres of Time Series Analysis and Forecasting research in 2022-now are Beijing (China), Shanghai (China), Nanjing (China) and Hangzhou (China). Among places with at least 20 works in it, it is an unusually large share of all research in Yantai.

Question 5

Where is the best place to study Time Series Analysis and Forecasting?

Accepted Answer

Among universities, judged by research, Aalborg University, Monash University and Tsinghua University 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 Time Series Analysis and Forecasting research growing?

Accepted Answer

Output in 2022-2025 was 59% higher than in 2018-2021, peaking in 2025. The fastest-growing topics are Time Series Analysis and Forecasting.

Question 7

What are the most cited papers in Time Series Analysis and Forecasting?

Accepted Answer

The most cited paper in Time Series Analysis and Forecasting is "A new look at the statistical model identification" (Hirotugu Akaike, 1974), with 51,685 citations. Next come "The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis" (23,779) and "Pattern Classification" (7,895).