Time Series Analysis and Forecasting
Time Series Analysis and Forecasting is a research topic within Signal Processing. Science Explorer counts 24k research works in it since 1950. 19.8% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the clustering, classification, and analysis of time series data. It covers various algorithms and techniques such as dynamic time warping, feature extraction, deep learning, symbolic representation, multivariate classification, similarity measures, dimensionality reduction, and pattern discovery.
- Time Series
- Clustering
- Dynamic Time Warping
- Feature Extraction
- Deep Learning
- Symbolic Representation
- Multivariate Classification
- Similarity Measures
- Dimensionality Reduction
- Pattern Discovery
- Research works
- 24k fractional, since 1950
- In the world top 10%
- 4.8k per year above
- Top-10% rate
- 19.8% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +48% the tick is no change
Which countries lead Time Series Analysis and Forecasting research?
By volume, China and the United States publish the most (2.4k and 865 works in 2022–2025).
By volume, 2022–2025
- 1 China 2.4k works
- 2 United States 865 works
- 3 India 588 works
- 4 Germany 334 works
- 5 United Kingdom 216 works
- 6 Italy 197 works
- 7 France 190 works
- 8 Japan 190 works
- 9 South Korea 173 works
- 10 Spain 150 works
How concentrated that is
The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.
Shares of the rows listed above, not of the whole node.
Which institutions lead Time Series Analysis and Forecasting research?
By volume in 2022–2025, Tsinghua University publishes the most Time Series Analysis and Forecasting research, followed by Harbin Institute of Technology and Beihang University.
By volume, 2022–2025
- 1 Tsinghua University China 42 works
- 2 Harbin Institute of Technology China 39 works
- 3 Beihang University China 39 works
- 4 Zhejiang University China 34 works
- 5 Beijing Jiaotong University China 32 works
- 6 Chinese Academy of Sciences China 31 works
- 7 National University of Defense Technology China 31 works
- 8 University of Electronic Science and Technology of China China 30 works
- 9 Shanghai Jiao Tong University China 30 works
- 10 Beijing University of Posts and Telecommunications China 28 works
Who are the leading researchers in Time Series Analysis and Forecasting?
The most-cited researchers publishing on Time Series Analysis and Forecasting include Yoshua Bengio and Philip S. Yu.
- 1 Yoshua Bengio 17k citations
- 2 Philip S. Yu 6.6k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Time Series Analysis and Forecasting research done?
The largest centres of Time Series Analysis and Forecasting research in 2022–2025 are Beijing (China), Shanghai (China), Nanjing (China) and Hangzhou (China).
Where is the best place to study Time Series Analysis and Forecasting?
Among universities, judged by research, Shandong Institute of Business and Technology, Beijing Jiaotong University and University of Technology Sydney 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.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Shandong Institute of Business and Technology China | 57.9 | 42.5% | 20.0× | 12 | — |
| 2 | Beijing Jiaotong University China | 57.1 | 22.3% | 7.5× | 32 | +111.1% |
| 3 | University of Technology Sydney Australia | 56.0 | 39.2% | 4.3× | 14 | +169.9% |
| 4 | Aalborg University Denmark | 53.9 | 43.7% | 4.5× | 16 | +77.5% |
| 5 | University of Electronic Science and Technology of China China | 53.3 | 26.1% | 3.9× | 30 | +189.8% |
| 6 | Beihang University China | 53.1 | 30.6% | 5.0× | 38 | +54.8% |
| 7 | National University of Defense Technology China | 51.8 | 16.3% | 5.6× | 31 | +197.5% |
| 8 | Beijing University of Posts and Telecommunications China | 51.1 | 16.7% | 6.5× | 28 | +145.4% |
| 9 | Tsinghua University China | 49.8 | 27.8% | 3.1× | 42 | +75.9% |
| 10 | Shandong University China | 48.9 | 31.7% | 2.5× | 21 | +281.7% |
Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.
Is Time Series Analysis and Forecasting research growing?
Output in 2018–2022 was 48% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Time Series Analysis and Forecasting.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Which topics inside it are moving
Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.