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Topic · Signal Processing

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. 9.9% 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%
2.4k
per year above
Top-10% rate
9.9%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+59%
the tick is no change
Largest producer
China
47% of the 10 largest, 2022-now
Time Series Analysis and Forecasting

Which countries lead Time Series Analysis and Forecasting research?

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

By volume, 2022-now

  1. 1 China 2.9k works
  2. 2 United States 966 works
  3. 3 India 673 works
  4. 4 Germany 368 works
  5. 5 United Kingdom 236 works
  6. 6 Italy 213 works
  7. 7 France 210 works
  8. 8 Japan 209 works
  9. 9 South Korea 203 works
  10. 10 Spain 161 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.

China: 47.0%United States: 15.8%India: 11.0%Germany: 6.0%6 others listed: 20.1%47%largest
China2,875 · 47.0%United States966 · 15.8%India673 · 11.0%Germany368 · 6.0%6 others listed1,231 · 20.1%

Shares of the rows listed above, not of the whole node.

Which institutions lead Time Series Analysis and Forecasting research?

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.

By volume, 2022-now

  1. 1 Chinese Academy of SciencesChina 96 works
  2. 2 Centre National de la Recherche ScientifiqueFrance 57 works
  3. 3 Tsinghua UniversityChina 52 works
  4. 4 Zhejiang UniversityChina 46 works
  5. 5 Harbin Institute of TechnologyChina 45 works
  6. 6 Beihang UniversityChina 44 works
  7. 7 Beijing Jiaotong UniversityChina 38 works
  8. 8 University of Electronic Science and Technology of ChinaChina 36 works
  9. 9 Shanghai Jiao Tong UniversityChina 35 works
  10. 10 National University of Defense TechnologyChina 34 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, Geoffrey E. Hinton and Karl John Friston.

  1. 1 Yoshua Bengio Canada 476k citations
  2. 2 Geoffrey E. Hinton Canada 454k citations
  3. 3 Karl John Friston United Kingdom 310k citations
  4. 4 Trevor Hastie United States 301k citations
  5. 5 Xiaogang Wang China 260k citations
  6. 6 Yann LeCun United States 256k citations
  7. 7 Andrew Zisserman United Kingdom 255k citations
  8. 8 Vladimir N. Vapnik United States 227k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

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

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).

Most cited papers
#PaperReleasedCitations
1 A new look at the statistical model identification Hirotugu Akaike · IEEE Transactions on Automatic Control Open access Dec 1974 51,685
2 The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis Norden Eh Huang, Zhengwei Shen, Steven Long et al. · Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences Open access 8 Mar 1998 23,779
3 Pattern Classification Evan L. Russell, Leo H. Chiang, Richard D. Braatz · Advances in industrial control Book chapter 2000 7,895
4 Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting Haoyi Zhou, Shanghang Zhang, Jieqi Peng et al. · Proceedings of the AAAI Conference on Artificial Intelligence Conference paperOpen access 18 May 2021 6,999
5 Modeling by shortest data description J. Rissanen · Automatica Sep 1978 6,083
All 99 most cited papers, with filters and sorting

Where is Time Series Analysis and Forecasting research done?

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.

Largest cities, 2022-now

  1. 1 BeijingChina 579 works
  2. 2 ShanghaiChina 216 works
  3. 3 NanjingChina 147 works
  4. 4 HangzhouChina 125 works
  5. 5 ChengduChina 122 works
  6. 6 Xi'anChina 120 works
  7. 7 WuhanChina 112 works
  8. 8 GuangzhouChina 107 works
  9. 9 SeoulSouth Korea 98 works
  10. 10 ChangshaChina 93 works

Where it is the local speciality

  1. YantaiCN · 20.7 works4.4×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Time Series Analysis and Forecasting than the world average.

See Time Series Analysis and Forecasting on the map

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

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.

0%20%40%mean 25.14%fractional works in this field (log) →share of work in the world top 10% →Monash UniversityAalborg UniversityBeihang UniversityTsinghua University
above the meannear itbelow it

One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.

Excellenceshare of its work in the world top 10%, 2022-now and all time averaged
40%
Specialisationhow much of its work is in this field, counted up to 10× the world share
10%
Sizeits output in this field, on a log scale
30%
Growthoutput growth, counted from -20% to +20%
10%
Internationalshare of its work with a co-author abroad
10%
Each slider sets a weight; the share it gets of the score is beside it.
#UniversityScoreTop 10%SpecialisationWorksGrowth
1Aalborg UniversityDenmark 70.931.8%4.4×18 +90.7%
2Monash UniversityAustralia 68.737.5%2.0×14 +22.6%
3Tsinghua UniversityChina 67.517.2%3.2×52 +56.4%
4Beihang UniversityChina 67.219.0%5.7×44 +206.6%
5Zhejiang UniversityChina 67.120.8%2.4×46 +215.0%
6Nanyang Technological UniversitySingapore 63.723.9%3.3×19 +50.8%
7Shandong Institute of Business and TechnologyChina 63.331.0%23.5×14 -
8Hong Kong University of Science and TechnologyChina 60.519.8%5.0×15 +161.9%
9Chongqing UniversityChina 60.324.0%2.9×22 +270.3%
10Hong Kong Polytechnic UniversityChina 60.326.4%2.3×14 +97.4%

Universities only. The score blends excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.

Every institution in Time Series Analysis and Forecasting, country by country

Is Time Series Analysis and Forecasting research growing?

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

still counting19801990200020102020
grewheldshrank

The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.

Its share of all research

Growing output can still be a shrinking share: all of science grows. This is Time Series Analysis and Forecasting as a percentage of every work published that year, 0.039% in 2024.

still counting0.020%0.040%0.060%Time Series Analysis and Forecasting0.042% in 202519801990200020102020

Fractional works of Time Series Analysis and Forecasting over all fractional works that year. How the balance of science has shifted.

How much of it reaches the world top 10%

Year by year.

still counting5%10%15%Time Series Analysis and Forecasting9.8% in 2025200020102020

Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.

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.

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