2026 Rob J. Hyndman: Mathematics Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Mathematics	70	265	223	5	4	231	38407

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Mathematics

265

223

231

38407

Research.com Recognitions

2026 - Research.com Mathematics in Australia Leader Award
2025 - Research.com Mathematics in Australia Leader Award
2023 - Research.com Mathematics in Australia Leader Award

Overview

Rob J. Hyndman is affiliated with Monash University in Australia. Their research contributions span multiple domains within forecasting, time series analysis, and related applications.

The scientist has extensively published in prominent venues, including:

Zenodo (CERN European Organization for Nuclear Research)
OPAL (Open@LaTrobe) (La Trobe University)
RePEc: Research Papers in Economics
arXiv (Cornell University)
International Journal of Forecasting

Frequent co-authors collaborating with Rob J. Hyndman include:

Christoph Bergmeir
Pablo Montero-Manso
Rakshitha Godahewa
Geoffrey I. Webb
George Athanasopoulos

Their recent papers cover a range of topics and have appeared across different journals:

"Forecast combinations: An over 50-year review", 2022, International Journal of Forecasting
"Hierarchical Probabilistic Forecasting of Electricity Demand With Smart Meter Data", 2020, Journal of the American Statistical Association
"GRATIS: GeneRAting TIme Series with diverse and controllable characteristics", 2020, Statistical Analysis and Data Mining The ASA Data Science Journal
"Meta-learning how to forecast time series", 2023, Journal of Forecasting
"MSTL: A Seasonal-Trend Decomposition Algorithm for Time Series with Multiple Seasonal Patterns", 2022, International Journal of Operational Research

Their fields of study encompass several subfields, including:

Management Science and Operations Research
Artificial Intelligence
Electrical and Electronic Engineering
Signal Processing
Economics and Econometrics

Main topics of research focus primarily on forecasting methods and their application to different areas:

Forecasting Techniques and Applications
Time Series Analysis and Forecasting
Stock Market Forecasting Methods
Energy Load and Power Forecasting
Web Data Mining and Analysis
Wikis in Education and Collaboration
Anomaly Detection Techniques and Applications

Best Publications

Another look at measures of forecast accuracy

Rob John Hyndman;Ann B Koehler

6353
Citations
Automatic Time Series Forecasting: The forecast Package for R

Robin John Hyndman;Yeasmin Khandakar

4880
Citations
25 years of time series forecasting

Jan G De Gooijer;Rob John Hyndman

1635
Citations
Robust forecasting of mortality and fertility rates: A functional data approach

Rob J. Hyndman;Md. Shahid Ullah

1367
Citations
Sample Quantiles in Statistical Packages

Rob J. Hyndman;Yanan Fan

1365
Citations
A state space framework for automatic forecasting using exponential smoothing methods

Robert J Hyndman;Ann B Koehler;Ralph D Snyder;Simone D Grose

1318
Citations
Forecasting time series with complex seasonal patterns using exponential smoothing

Alysha M. De Livera;Rob J. Hyndman;Ralph D. Snyder

1205
Citations
Probabilistic energy forecasting: Global Energy Forecasting Competition 2014 and beyond

Tao Hong;Pierre Pinson;Shu Fan;Hamidreza Zareipour

1001
Citations
forecast: Forecasting functions for time series and linear models

Rob J. Hyndman;George Athanasopoulos;Christoph Bergmeir;Gabriel Caceres

974
Citations
Characteristic-Based Clustering for Time Series Data

Xiaozhe Wang;Kate Smith;Rob Hyndman

862
Citations
Computing and Graphing Highest Density Regions

Rob J. Hyndman

826
Citations
A note on the validity of cross-validation for evaluating autoregressive time series prediction

Christoph Bergmeir;Rob J. Hyndman;Bonsoo Koo

653
Citations
Short-Term Load Forecasting Based on a Semi-Parametric Additive Model

Shu Fan;R. J. Hyndman

606
Citations
Optimal combination forecasts for hierarchical time series

Rob J. Hyndman;Roman A. Ahmed;George Athanasopoulos;Han Lin Shang

564
Citations
Estimating and Visualizing Conditional Densities

Rob J. Hyndman;David M. Bashtannyk;Gary K. Grunwald

473
Citations
Density Forecasting for Long-Term Peak Electricity Demand

Rob J Hyndman;Shu Fan

459
Citations
Forecasting: Methods and Applications, 3rd Ed

Spyros Makridakis;Steven Wheelwright;Rob J Hyndman

383
Citations
ANOTHER LOOK AT FORECAST-ACCURACY METRICS FOR INTERMITTENT DEMAND

Rob John Hyndman

375
Citations
Rainbow Plots, Bagplots, and Boxplots for Functional Data

Robin John Hyndman;Han Lin Shang

360
Citations
Lee-Carter mortality forecasting: a multi-country comparison of variants and extensions

Heather Booth;Rob J Hyndman;Leonie Tickle;Piet de Jong

347
Citations
Forecasting with Exponential Smoothing

Rob Hyndman;Anne Koehler;Keith Ord;Ralph Snyder

284
Citations
Forecasting: Methods and Applications@@@Elements of Forecasting

William M. Briggs;Spyros Makridakis;Steven C. Wheelwright;Rob J. Hyndman

72
Citations

Frequent Co-Authors

Kate Smith-Miles University of Melbourne

Mimi L.K. Tang Royal Children's Hospital

Kerrie Mengersen Queensland University of Technology

Dianne Cook Monash University

Michael J. Abramson Monash University

Spyros Makridakis University of Nicosia

Ed Newbigin University of Melbourne

Shyamali C. Dharmage University of Melbourne

Haiyan Song Hong Kong Polytechnic University

Neville Nicholls Monash University

External Links

Wikipedia of Rob J. Hyndman Personal website of Rob J. Hyndman Google Scholar page

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