Most cited papers in Time Series Analysis and Forecasting
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).
Showing 50 of 99 papers. Every paper with more than 1,114 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | A new look at the statistical model identification Hirotugu Akaike · IEEE Transactions on Automatic Control | 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 | 8 Mar 1998 | 23,779 |
| 3 | Pattern Classification Evan L. Russell, Leo H. Chiang, Richard D. Braatz · Advances in industrial control | 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 | 18 May 2021 | 6,999 |
| 5 | Modeling by shortest data description J. Rissanen · Automatica | Sep 1978 | 6,083 |
| 6 | Deep learning and process understanding for data-driven Earth system science Markus Reichstein, Gustau Camps‐Valls, Björn Stevens et al. · Nature | Feb 2019 | 5,604 |
| 7 | Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences S. Davis, Paul G. Mermelstein · IEEE Transactions on Acoustics Speech and Signal Processing | Aug 1980 | 5,458 |
| 8 | LOF Markus M. Breunig, Hans‐Peter Kriegel, Raymond T. Ng et al. · ACM SIGMOD Record | 16 May 2000 | 5,270 |
| 9 | Techniques for Testing the Constancy of Regression Relationships Over Time R. L. Brown, James Durbin, Jessica Evans · Journal of the Royal Statistical Society Series B (Statistical Methodology) | 1975 | 5,159 |
| 10 | Pattern Classification Leo H. Chiang, Evan L. Russell, Richard D. Braatz · Advanced textbooks in control and signal processing | 2001 | 5,020 |
| 11 | Iolite: Freeware for the visualisation and processing of mass spectrometric data Chad Paton, John Hellström, Bence T. Paul et al. · Journal of Analytical Atomic Spectrometry | 2011 | 4,531 |
| 12 | Beyond the hype: Big data concepts, methods, and analytics Amir Gandomi, Murtaza Haider · International Journal of Information Management | 2 Dec 2014 | 4,219 |
| 13 | LOF Markus M. Breunig, Hans‐Peter Kriegel, Raymond T. Ng et al. | 16 May 2000 | 4,056 |
| 14 | Time Series Analysis: Forecasting and Control Beat Kleiner, G. E. P. Box, G. J. Jenkins · Technometrics | Aug 1977 | 3,847 |
| 15 | Testing for nonlinearity in time series: the method of surrogate data James P. Theiler, Stephen Eubank, André Longtin et al. · Physica D Nonlinear Phenomena | Sep 1992 | 3,820 |
| 16 | Support Vector Data Description David M. J. Tax, Robert P. W. Duin · Machine Learning | 16 Dec 2003 | 3,551 |
| 17 | AN INTRODUCTION TO LONG‐MEMORY TIME SERIES MODELS AND FRACTIONAL DIFFERENCING Clive W. J. Granger, Roselyne Joyeux · Journal of Time Series Analysis | 1980 | 3,426 |
| 18 | T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction Ling Zhao, Yujiao Song, Chao Zhang et al. · IEEE Transactions on Intelligent Transportation Systems | 22 Aug 2019 | 3,346 |
| 19 | Deep learning for time series classification: a review Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber et al. · Data Mining and Knowledge Discovery | 2 Mar 2019 | 3,344 |
| 20 | Time Series Analysis David E. Booth · Technometrics | Feb 1997 | 3,234 |
| 21 | Are Transformers Effective for Time Series Forecasting? Ailing Zeng, Muxi Chen, Lei Zhang et al. · Proceedings of the AAAI Conference on Artificial Intelligence | 26 Jun 2023 | 3,110 |
| 22 | Ensemble learning: A survey Omer Sagi, Lior Rokach · Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery | 27 Feb 2018 | 3,107 |
| 23 | Distilling Free-Form Natural Laws from Experimental Data Michael H. Schmidt, Hod Lipson · Science | 2 Apr 2009 | 2,958 |
| 24 | Using dynamic time warping to find patterns in time series Donald J. Berndt, James Clifford · Knowledge Discovery and Data Mining | 31 Jul 1994 | 2,899 |
| 25 | Fuzzy Model Identification Based on Cluster Estimation Stephen L. Chiu · Journal of Intelligent & Fuzzy Systems | Aug 1994 | 2,794 |
| 26 | Deep learning applications and challenges in big data analytics Maryam Mousaarab Najafabadi, Flavio Villanustre, Taghi M. Khoshgoftaar et al. · Journal Of Big Data | 23 Feb 2015 | 2,613 |
| 27 | Time series analysis forecasting and control Gareth J. Janacek · Journal of Time Series Analysis | 28 Dec 2009 | 2,604 |
| 28 | Five Years of GWAS Discovery Peter M. Visscher, Matthew A. Brown, Mark I. McCarthy et al. · The American Journal of Human Genetics | 2012 | 2,575 |
| 29 | Forecasting at Scale Sean J. Taylor, Benjamin Letham · The American Statistician | 29 Sep 2017 | 2,473 |
| 30 | Clustering of time series data—a survey T. Warren Liao · Pattern Recognition | 26 May 2005 | 2,429 |
| 31 | Dynamic topic models David M. Blei, John Lafferty | 2006 | 2,424 |
| 32 | When Is “Nearest Neighbor” Meaningful? Kevin S. Beyer, Jonathan Goldstein, Raghu Ramakrishnan et al. · Lecture notes in computer science | 1999 | 2,347 |
| 33 | Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che, Sanjay Purushotham, Kyunghyun Cho et al. · Scientific Reports | 11 Apr 2018 | 2,266 |
| 34 | SIGNATURE VERIFICATION USING A “SIAMESE” TIME DELAY NEURAL NETWORK Jane M. Bromley, JAMES W. BENTZ, Léon Bottou et al. · Series in machine perception and artificial intelligence | 1994 | 2,233 |
| 35 | Fractal dynamics in physiology: Alterations with disease and aging Ary L. Goldberger, Luı́s A. Nunes Amaral, Jeffrey M. Hausdorff et al. · Proceedings of the National Academy of Sciences | 19 Feb 2002 | 2,226 |
| 36 | Long short-term memory neural network for traffic speed prediction using remote microwave sensor data Xiaolei Ma, Zhimin Tao, Yinhai Wang et al. · Transportation Research Part C Emerging Technologies | 7 Apr 2015 | 2,221 |
| 37 | Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks Guokun Lai, Wei-Cheng Chang, Yiming Yang et al. | 27 Jun 2018 | 2,154 |
| 38 | Macintosh Program performs time‐series analysis Didier Paillard, Laurent D Labeyrie, Pascal Yiou · Eos | 24 Sep 1996 | 2,145 |
| 39 | Time series classification from scratch with deep neural networks: A strong baseline Zhiguang Wang, Weizhong Yan, Tim Oates | May 2017 | 2,104 |
| 40 | BIRCH Tian Yao Zhang, Raghu Ramakrishnan, Miron Livny · ACM SIGMOD Record | Jun 1996 | 2,097 |
| 41 | Multisensor data fusion: A review of the state-of-the-art Bahador Khaleghi, Alaa M. Khamis, Fakhreddine O. Karray et al. · Information Fusion | 28 Aug 2011 | 2,079 |
| 42 | A review on the long short-term memory model Greg Van Houdt, Carlos Mosquera, Gonzalo Nápoles · Artificial Intelligence Review | 13 May 2020 | 2,008 |
| 43 | Efficient similarity search in sequence databases Rakesh Agrawal, Christos Faloutsos, Arun N. Swami · Lecture notes in computer science | 1993 | 1,989 |
| 44 | Exact indexing of dynamic time warping Eamonn Keogh, Chotirat Ann Ratanamahatana · Knowledge and Information Systems | 12 May 2004 | 1,982 |
| 45 | Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks Zonghan Wu, Shirui Pan, Guodong Long et al. | 20 Aug 2020 | 1,970 |
| 46 | Measurement of Linear Dependence and Feedback between Multiple Time Series John F Geweke · Journal of the American Statistical Association | Jun 1982 | 1,930 |
| 47 | The Future of Data Analysis John W. Tukey · The Annals of Mathematical Statistics | Mar 1962 | 1,897 |
| 48 | Time-series clustering – A decade review Saeed Reza Aghabozorgi, Ali Seyed Shirkhorshidi, Teh Ying Wah · Information Systems | 6 May 2015 | 1,831 |
| 49 | STEM: a tool for the analysis of short time series gene expression data Jason Ernst, Ziv Bar‐Joseph · BMC Bioinformatics | 5 Apr 2006 | 1,814 |
| 50 | A symbolic representation of time series, with implications for streaming algorithms Jessica Lin, Eamonn Keogh, Stefano Lonardi et al. | 13 Jun 2003 | 1,805 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for a field when OpenAlex files it under one of the field's topics; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.