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Rob J. Hyndman

Active 1992–2025

182
Papers
38,158
Citations
65
h-index
98
i10-index

Citations

Citations per year for Rob J. Hyndman1965: 1 citations1992: 1 citations1993: 1 citations1996: 2 citations1998: 1 citations1999: 3 citations2000: 9 citations2001: 11 citations2002: 10 citations2003: 17 citations2004: 13 citations2005: 29 citations2006: 44 citations2007: 65 citations2008: 78 citations2009: 74 citations2010: 152 citations2011: 193 citations2012: 216 citations2013: 320 citations2014: 394 citations2015: 455 citations2016: 533 citations2017: 644 citations2018: 780 citations2019: 1,231 citations2020: 1,406 citations2021: 1,626 citations2022: 1,368 citations2023: 1,119 citations2024: 1,188 citations2025: 892 citations2026: 243 citations1966–1991: no citations, so these years are not shown1994–1995: no citations, so these years are not shown1997: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 1,935 citing papers, 14.9% of this breakdownChina: 1,646 citing papers, 12.6% of this breakdownUnited Kingdom: 831 citing papers, 6.4% of this breakdownGermany: 725 citing papers, 5.6% of this breakdownAustralia: 650 citing papers, 5% of this breakdownSpain: 520 citing papers, 4% of this breakdownItaly: 419 citing papers, 3.2% of this breakdownCanada: 417 citing papers, 3.2% of this breakdownFrance: 409 citing papers, 3.1% of this breakdownIndia: 377 citing papers, 2.9% of this breakdownBrazil: 331 citing papers, 2.5% of this breakdownNetherlands: 224 citing papers, 1.7% of this breakdown
0%14.9%Other 34.9%

Institutions

Fields

  • Computer Science29.7%
  • Engineering21.3%
  • Decision Sciences14.7%
  • Environmental Science10%
  • Medicine5%
  • Mathematics4%
  • Other15.3%

Topics

  • Energy Load and Power Forecasting6.2%
  • Time Series Analysis and Forecasting5.7%
  • Forecasting Techniques and Applications5.6%
  • Stock Market Forecasting Methods5.6%
  • Anomaly Detection Techniques and Applications2.2%
  • Solar Radiation and Photovoltaics2%
  • Other72.7%

Coauthors

All papers

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  1. Another look at measures of forecast accuracy

    Authors: Rob J. Hyndman, Anne B. Koehler - International Journal of Forecasting 2006 cited by 5,343

  2. Forecasting: principles and practice

    Authors: Rob J. Hyndman, George Athanasopoulos - 2013 cited by 4,215

  3. Automatic Time Series Forecasting: TheforecastPackage forR

    Authors: Rob J. Hyndman, Yeasmin Khandakar - Journal of Statistical Software 2008 cited by 3,448

  4. Probabilistic energy forecasting: Global Energy Forecasting Competition 2014 and beyond

    Authors: Tao Hong, Pierre Pinson, Fan Shu, Hamidreza Zareipour, Alberto Troccoli, Rob J. Hyndman - International Journal of Forecasting 2016 cited by 987

  5. Monash Time Series Forecasting Archive

    Authors: Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb, Rob J. Hyndman, Pablo Montero-Manso - NeurIPS Datasets and Benchmarks 2021 cited by 279

  6. Forecasting Time Series With Complex Seasonal Patterns Using Exponential Smoothing

    Authors: Alysha De Livera, Rob J. Hyndman, Ralph D. Snyder - Journal of the American Statistical Association 2011 cited by 1,038

  7. 25 years of time series forecasting

    Authors: Jan G. De Gooijer, Rob J. Hyndman - International Journal of Forecasting 2006 cited by 1,565

  8. Detecting trend and seasonal changes in satellite image time series

    Authors: Jan Verbesselt, Rob J. Hyndman, Glenn Newnham, Darius Culvenor - Remote Sensing of Environment 2009 cited by 1,808

  9. Forecast combinations: An over 50-year review

    Authors: Xiaoqian Wang, Rob J. Hyndman, Feng Li, Yanfei Kang - International Journal of Forecasting 2022 cited by 248

  10. A note on the validity of cross-validation for evaluating autoregressive time series prediction

    Authors: Christoph Bergmeir, Rob J. Hyndman, Bonsoo Koo - Computational Statistics & Data Analysis, Comput. Stat. Data Anal. 2017 cited by 622

  11. Characteristic-Based Clustering for Time Series Data

    Authors: Xiaozhe Wang, Kate A. Smith, Rob J. Hyndman - Data Mining and Knowledge Discovery, Data Min. Knowl. Discov. 2006 cited by 680

  12. A state space framework for automatic forecasting using exponential smoothing methods

    Authors: Rob J. Hyndman, Anne B. Koehler, Ralph D. Snyder, Simone D. Grose - International Journal of Forecasting 2002 cited by 1,046

  13. FFORMA: Feature-based forecast model averaging

    Authors: Pablo Montero‐Manso, George Athanasopoulos, Rob J. Hyndman, Thiyanga S. Talagala - International Journal of Forecasting 2019 cited by 298

  14. Optimal combination forecasts for hierarchical time series

    Authors: Rob J. Hyndman, Roman A. Ahmed, George Athanasopoulos, Han Lin Shang - Computational Statistics & Data Analysis, Comput. Stat. Data Anal. 2011 cited by 438

  15. fpp2: Data for "Forecasting: Principles and Practice" (2nd Edition)

    Authors: Rob J. Hyndman - CRAN: Contributed Packages 2017 cited by 331

  16. Optimal Forecast Reconciliation for Hierarchical and Grouped Time Series Through Trace Minimization

    Authors: Shanika L. Wickramasuriya, George Athanasopoulos, Rob J. Hyndman - Journal of the American Statistical Association 2018 cited by 304

  17. Forecasting with Exponential Smoothing: The State Space Approach

    Authors: Rob J. Hyndman, Anne B. Koehler, J. Keith Ord, Ralph D. Snyder - 2008 cited by 836

  18. Bagging exponential smoothing methods using STL decomposition and Box–Cox transformation

    Authors: Christoph Bergmeir, Rob J. Hyndman, José M. Benítez - International Journal of Forecasting 2016 cited by 323

  19. MSTL: A Seasonal-Trend Decomposition Algorithm for Time Series with Multiple Seasonal Patterns

    Authors: Kasun Bandara, Rob J. Hyndman, Christoph Bergmeir - International Journal of Operational Research 2022 cited by 96

  20. Sample Quantiles in Statistical Packages

    Authors: Rob J. Hyndman, Yanan Fan - The American Statistician 1996 cited by 1,003

  21. GRATIS: GeneRAting TIme Series with diverse and controllable characteristics

    Authors: Yanfei Kang, Rob J. Hyndman, Feng Li - CRAN: Contributed Packages, Stat. Anal. Data Min. 2020 cited by 96

  22. Computing and Graphing Highest Density Regions

    Authors: Rob J. Hyndman - The American Statistician 1996 cited by 641

  23. Forecasting with temporal hierarchies

    Authors: George Athanasopoulos, Rob J. Hyndman, Nikolaos Kourentzes, Fotios Petropoulos - European Journal of Operational Research, Eur. J. Oper. Res. 2017 cited by 263

  24. Large-Scale Unusual Time Series Detection

    Authors: Rob J. Hyndman, Earo Wang, Nikolay Laptev - IEEE International Conference on Data Mining Workshop (ICDMW), ICDM Workshops 2015 cited by 193