Rob J. Hyndman | Academic Influence

Rob J. Hyndman's AcademicInfluence.com Rankings

Rob J. Hyndman

Mathematics

#2809

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#4260

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Statistics

#151

World Rank

#197

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Measure Theory

#597

World Rank

#830

Historical Rank

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Mathematics

Rob J. Hyndman's Degrees

Bachelors Mathematics University of Melbourne
PhD Statistics University of Melbourne

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Why Is Rob J. Hyndman Influential?

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According to Wikipedia, Robin John Hyndman is an Australian statistician known for his work on forecasting and time series. He is Professor of Statistics at Monash University and was Editor-in-Chief of the International Journal of Forecasting from 2005–2018. In 2007 he won the Moran Medal from the Australian Academy of Science for his contributions to statistical research. In 2021 he won the Pitman Medal from the Statistical Society of Australia.

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Rob J. Hyndman's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Another look at measures of forecast accuracy (2006) (3839)
Automatic Time Series Forecasting: The forecast Package for R (2008) (2805)
Forecasting: principles and practice (2013) (2739)
25 years of time series forecasting (2006) (1349)
Detecting trend and seasonal changes in satellite image time series (2010) (1281)
Forecasting with Exponential Smoothing: The State Space Approach (2008) (1000)
Sample Quantiles in Statistical Packages (1996) (936)
A state space framework for automatic forecasting using exponential smoothing methods (2002) (860)
forecast: Forecasting functions for time series and linear models (2018) (854)
Forecasting Time Series With Complex Seasonal Patterns Using Exponential Smoothing (2011) (737)
Probabilistic energy forecasting: Global Energy Forecasting Competition 2014 and beyond (2016) (621)
Computing and Graphing Highest Density Regions (1996) (618)
Robust forecasting of mortality and fertility rates: A functional data approach (2007) (617)
Phenological change detection while accounting for abrupt and gradual trends in satellite image time series (2010) (597)
Forecasting: Methods and Applications, 3rd Ed (1997) (517)
Characteristic-Based Clustering for Time Series Data (2006) (493)
Forecasting with Exponential Smoothing (2008) (461)
Short-Term Load Forecasting Based on a Semi-Parametric Additive Model (2012) (417)
Estimating and Visualizing Conditional Densities (1996) (376)
Optimal combination forecasts for hierarchical time series (2011) (348)
Density Forecasting for Long-Term Peak Electricity Demand (2010) (325)
A note on the validity of cross-validation for evaluating autoregressive time series prediction (2018) (319)
Rainbow Plots, Bagplots, and Boxplots for Functional Data (2010) (283)
Another Look at Forecast Accuracy Metrics for Intermittent Demand (2006) (274)
Bandwidth selection for kernel conditional density estimation (2001) (262)
The Tourism Forecasting Competition (2011) (236)
Coherent Mortality Forecasting: The Product-Ratio Method With Functional Time Series Models (2013) (235)
Forecasting: Methods and Applications, 3rd Edition (1998) (234)
Quantifying the influence of local meteorology on air quality using generalized additive models (2011) (233)
Lee-Carter mortality forecasting: a multi-country comparison of variants and extensions (2006) (231)
A gradient boosting approach to the Kaggle load forecasting competition (2014) (229)
Stochastic population forecasts using functional data models for mortality, fertility and migration (2008) (221)
The price elasticity of electricity demand in South Australia (2011) (210)
Hierarchical forecasts for Australian domestic tourism (2009) (190)
Bagging exponential smoothing methods using STL decomposition and Box–Cox transformation (2016) (184)
A Bayesian approach to bandwidth selection for multivariate kernel density estimation (2006) (181)
FFORMA: Feature-based forecast model averaging (2020) (176)
Optimal Forecast Reconciliation for Hierarchical and Grouped Time Series Through Trace Minimization (2018) (167)
Forecasting with temporal hierarchies (2017) (165)
Rule induction for forecasting method selection: Meta-learning the characteristics of univariate time series (2009) (160)
Modelling and Forecasting Australian Domestic Tourism (2006) (159)
Large-Scale Unusual Time Series Detection (2015) (152)
Nonparametric Estimation and Symmetry Tests for Conditional Density Functions (2002) (151)
Forecasting functional time series (2009) (146)
Theory & Methods: Non‐Gaussian Conditional Linear AR(1) Models (2000) (145)
Forecasting Uncertainty in Electricity Smart Meter Data by Boosting Additive Quantile Regression (2016) (141)
Unmasking the Theta Method (2003) (136)
Visualising forecasting algorithm performance using time series instance spaces (2017) (131)
Forecasting time series with multiple seasonal patterns (2008) (128)
Fast computation of reconciled forecasts for hierarchical and grouped time series (2016) (126)
Minimum Sample Size requirements for Seasonal Forecasting Models (2007) (125)
Prediction intervals for exponential smoothing using two new classes of state space models (2005) (116)
Moving Averages (2011) (110)
Do levels of airborne grass pollen influence asthma hospital admissions? (2007) (104)
Stochastic models underlying Croston's method for intermittent demand forecasting (2005) (102)
Point and interval forecasts of mortality rates and life expectancy: A comparison of ten principal component methods (2011) (97)
Exploring the sources of uncertainty: Why does bagging for time series forecasting work? (2018) (90)
Highest‐density forecast regions for nonlinear and non‐normal time series models (1995) (88)
Hierarchical Probabilistic Forecasting of Electricity Demand With Smart Meter Data (2020) (81)
A brief history of forecasting competitions (2020) (80)
Forecasting in social settings: The state of the art (2020) (78)
Mixed Model-Based Hazard Estimation (2002) (78)
The admissible parameter space for exponential smoothing models (2008) (76)
Crude oil price forecasting based on internet concern using an extreme learning machine (2018) (76)
Associations between outdoor fungal spores and childhood and adolescent asthma hospitalizations (2017) (71)
Dynamic Documents for R (2016) (67)
Nonparametric confidence intervals for receiver operating characteristic curves (2004) (64)
Meta‐learning how to forecast time series (2023) (64)
Coherent Probabilistic Forecasts for Hierarchical Time Series (2017) (64)
GRATIS: GeneRAting TIme Series with diverse and controllable characteristics (2019) (64)
Grouped Functional Time Series Forecasting: An Application to Age-Specific Mortality Rates (2016) (63)
25 Years of Iif Time Series Forecasting: A Selective Review (2005) (62)
Automatic time series forecasting (2006) (61)
Principles and Algorithms for Forecasting Groups of Time Series: Locality and Globality (2020) (60)
A framework for automated anomaly detection in high frequency water-quality data from in situ sensors. (2018) (59)
Using R to Teach Econometrics (2002) (55)
A Note on the Validity of Cross-Validation for Evaluating Time Series Prediction (2015) (54)
Investigating the influence of synoptic-scale meteorology on air quality using self-organizing maps and generalized additive modelling (2011) (52)
Forecasting age‐specific breast cancer mortality using functional data models (2007) (50)
Exponential smoothing models: Means and variances for lead-time demand (2004) (49)
Improved methods for bandwidth selection when estimating ROC curves (2003) (47)
LOCAL LINEAR FORECASTS USING CUBIC SMOOTHING SPLINES (2005) (47)
Measuring forecast accuracy (2014) (46)
Nonparametric time series forecasting with dynamic updating (2011) (46)
Bandwidth Selection for Multivariate Kernel Density Estimation Using MCMC (2004) (46)
Recursive and direct multi-step forecasting: the best of both worlds (2012) (45)
STR: A Seasonal-Trend Decomposition Procedure Based on Regression (2015) (44)
Applications: Generalized Additive Modelling of Mixed Distribution Markov Models with Application to Melbourne's Rainfall (2000) (44)
Handgun Acquisitions in California After Two Mass Shootings (2017) (44)
Anomaly Detection in Streaming Nonstationary Temporal Data (2020) (42)
Forecast reconciliation: A geometric view with new insights on bias correction (2021) (41)
Prediction Intervals for Exponential Smoothing State Space Models (2001) (41)
A note on the categorization of demand patterns (2006) (38)
On normalization and algorithm selection for unsupervised outlier detection (2019) (38)
On continuous-time threshold autoregression☆ (1992) (38)
Dimension Reduction for Clustering Time Series Using Global Characteristics (2005) (35)
Empirical information criteria for time series forecasting model selection (2005) (34)
Forecasting hierarchical and grouped time series through trace minimization (2015) (34)
Monash Time Series Forecasting Archive (2021) (34)
Macroeconomic forecasting for Australia using a large number of predictors (2019) (34)
Some Properties and Generalizations of Non‐negative Bayesian Time Series Models (1997) (34)
Models for Count Data (2008) (31)
Boosting multi-step autoregressive forecasts (2014) (31)
A unified view of linear AR(1) models (1999) (30)
The value of feedback in forecasting competitions (2011) (30)
It's time to move from 'what' to 'why' (2001) (29)
The accuracy of television network rating forecasts: The effects of data aggregation and alternative models (2006) (29)
Spline interpolation for demographic variables: The monotonicity problem (2004) (29)
Nonparametric Autocovariance Function Estimation (1996) (29)
The vector innovations structural time series framework (2010) (28)
A Scalable Method for Time Series Clustering (2004) (27)
Generation of synthetic sequences of half‐hourly temperature (2008) (27)
Machine learning strategies for multi-step-ahead time series forecasting (2014) (27)
Probabilistic forecast reconciliation: Properties, evaluation and score optimisation (2022) (27)
Encouraging replication and reproducible research (2010) (26)
Forecasts of COPD mortality in Australia: 2006-2025 (2012) (26)
Forecasting Functions for Time Series and Linear Models [R package forecast version 8.13] (2020) (25)
Yule‐Walker Estimates For Continuous‐Time Autoregressive Models (1993) (25)
Half-life estimation based on the bias-corrected bootstrap: A highest density region approach (2007) (24)
Anomaly Detection in High-Dimensional Data (2019) (23)
Hierarchical forecast reconciliation with machine learning (2020) (23)
On Sampling Methods for Costly Multi-Objective Black-Box Optimization (2016) (23)
Optimally Reconciling Forecasts in a Hierarchy (2014) (23)
Optimal non-negative forecast reconciliation (2020) (22)
Hierarchical Forecasting (2019) (22)
Business Forecasting Methods (2011) (21)
Do human rhinovirus infections and food allergy modify grass pollen-induced asthma hospital admissions in children? (2015) (21)
A New Tidy Data Structure to Support Exploration and Modeling of Temporal Data (2019) (21)
Measurement of changes in antihypertensive drug utilisation following primary care educational interventions (2007) (20)
CONTINUOUS TIME THRESHOLD AUTOREGRESSIVE MODELS (1992) (19)
EXPONENTIAL SMOOTHING AND NON‐NEGATIVE DATA (2009) (18)
Visualizing Big Energy Data: Solutions for This Crucial Component of Data Analysis (2018) (18)
CRAN Task View: Time Series Analysis (2020) (18)
Tourism forecasting: An introduction (2011) (18)
Predicting sediment and nutrient concentrations from high-frequency water-quality data (2019) (18)
Sensitivity of the estimated air pollution–respiratory admissions relationship to statistical model choice (2005) (17)
Theory & Methods: Residual Diagnostic Plots for Checking for Model Mis‐specification in Time Series Regression (2000) (17)
Australian and New Zealand Journal of Statistics (1998) (17)
Forecasting age-related changes in breast cancer mortality among white and black US women: a functional data approach. (2010) (17)
The interaction between trend and seasonality (2004) (16)
Measuring change in prescription drug utilization in Australia (2006) (15)
The Pricing and Trading of Options using a Hybrid Neural Network Model with Historical Volatility (1997) (15)
Cycles and synchrony in the Collared Lemming (Dicrostonyx groenlandicus) in Arctic North America (2017) (14)
Statistical issues with using herbarium data for the estimation of invasion lag-phases (2015) (14)
Using Functional Data Analysis Models to Estimate Future Time Trends in Age-Specific Breast Cancer Mortality for the United States and England–Wales (2010) (14)
Nonparametric additive regression models for binary time series (1999) (14)
Probabilistic time series forecasting with boosted additive models: an application to smart meter data (2015) (14)
Forecasting electricity demand in Australian National Electricity Market (2012) (13)
A Case-Crossover Design to Examine the Role of Aeroallergens and Respiratory Viruses on Childhood Asthma Exacerbations Requiring Hospitalization: The Mapcah Study (2013) (13)
Forecast combinations: An over 50-year review (2022) (12)
Machine learning applications in time series hierarchical forecasting (2019) (12)
Monitoring processes with changing variances (2009) (11)
Distributed ARIMA models for ultra-long time series (2020) (11)
25 YEARS OF IIF TIME SERIES FORECASTING (2006) (11)
Forecasting Swiss exports using Bayesian forecast reconciliation (2020) (11)
Model selection in reconciling hierarchical time series (2020) (10)
Bagplots, boxplots and outlier detection for functional data (2008) (10)
Improved interval estimation of long run response from a dynamic linear model: A highest density region approach (2011) (10)
Hospital characteristics, rather than surgical volume, predict length of stay following colorectal cancer surgery (2019) (10)
Efficient generation of time series with diverse and controllable characteristics (2018) (9)
STR: Seasonal-Trend Decomposition Using Regression (2020) (9)
Bivariate smoothing of mortality surfaces with cohort and period ridges (2018) (9)
Prospective life tables (2015) (9)
Probabilisitic forecasts in hierarchical time series (2018) (9)
Efficient Identification of the Pareto Optimal Set (2014) (9)
Free Open-Source Forecasting Using R (2010) (9)
A comparison of ten principal component methods for forecasting mortality rates (2010) (9)
MSTL: A Seasonal-Trend Decomposition Algorithm for Time Series with Multiple Seasonal Patterns (2021) (9)
Forecasting: An Overview (2011) (9)
Method for optimizing coating properties based on an evolutionary algorithm approach. (2011) (9)
A Feature‐Based Procedure for Detecting Technical Outliers in Water‐Quality Data From In Situ Sensors (2019) (8)
Calendar-Based Graphics for Visualizing People’s Daily Schedules (2018) (8)
Data visualisation for time series in environmental epidemiology. (2001) (8)
Exploring the influence of short-term temperature patterns on temperature-related mortality: a case-study of Melbourne, Australia (2016) (8)
A robust approach for phenological change detection within satellite image time series (2011) (7)
Selection of Models (2008) (7)
Predicting Sediment and Nutrient Concentrations in Rivers Using High Frequency Water Quality Surrogates (2018) (7)
Short-term load forecasting using semi-parametric additive models (2011) (7)
Dimension Reduction for Outlier Detection Using DOBIN (2020) (7)
Dynamic algorithm selection for pareto optimal set approximation (2017) (7)
Two-dimensional smoothing of mortality rates (2013) (7)
Smoothing non-Gaussian time series with autoregressive structure (1998) (6)
Local Linear Multivariate Regression with Variable Bandwidth in the Presence of Heteroscedasticity (2006) (6)
A note on upper bounds for forecast-value-added relative to naïve forecasts (2017) (6)
Better ACF and PACF plots , but no optimal linear prediction (2014) (6)
Forecasting for Social Good (2020) (5)
Low-dimensional decomposition, smoothing and forecasting of sparse functional data (2014) (5)
Modern Strategies for Time Series Regression (2020) (5)
Forecasting Models for Tidy Time Series [R package fable version 0.2.1] (2020) (5)
Seasonal functional autoregressive models (2021) (5)
Functional time series forecasting (2009) (5)
Forecasting without significance tests ? (2008) (4)
Monash Electricity Forecasting Model (4)
Review of "Smoothing Methods in Statistics" (1998) (4)
Time Series Feature Extraction [R package tsfeatures version 1.0.2] (2020) (4)
Probabilistic Forecasts Using Expert Judgment: The Road to Recovery From COVID-19 (2022) (4)
Time Series Forecasting: The Case for the Single Source of Error State Space (2005) (4)
Statistical Methodological Issues in Studies of Air Pollution and Respiratory Disease (2001) (4)
hts : An R Package for Forecasting Hierarchical or Grouped Time Series (2013) (4)
Leave-One-Out Kernel Density Estimates for Outlier Detection (2021) (4)
Non‐linear mixed‐effects models for time series forecasting of smart meter demand (2021) (3)
Rejoinder: Forecasting functional time series (2009) (3)
Assessing Mortality Inequality in the U.S.: What Can be Said about the Future? (2019) (3)
Invertibility conditions for exponential smoothing models (2003) (3)
LoMEF: A Framework to Produce Local Explanations for Global Model Time Series Forecasts (2021) (3)
Bivariate data with ridges : two-dimensional smoothing of mortality rates (2014) (3)
Discussion of “High-dimensional autocovariance matrices and optimal linear prediction” (2015) (3)
Functionalization of microarray devices: Process optimization using a multiobjective PSO and multiresponse MARS modeling (2010) (3)
A state space model for exponential smoothing with group seasonality (2007) (3)
Exponential Smoothing for Inventory Control: Means and Variances of Lead-Time Demand (2002) (3)
Rating forecasts for television programs (2005) (2)
Reconstructing Missing and Anomalous Data Collected from High-Frequency In-Situ Sensors in Fresh Waters (2021) (2)
Visualizing Probability Distributions Across Bivariate Cyclic Temporal Granularities (2020) (2)
Nonlinear and Heteroscedastic Innovations State Space Models (2008) (2)
Characteristic-based Forecasting for Time Series Data (2005) (2)
Non-linear exponential smoothing and positive data (2007) (2)
Twenty-five years of forecasting (2006) (2)
A change of editors (2009) (2)
Spatial modelling of the two‐party preferred vote in Australian federal elections: 2001–2016 (2020) (2)
Some Nonlinear Exponential Smoothing Models are Unstable (2006) (2)
Forecasting the old‐age dependency ratio to determine a sustainable pension age (2021) (2)
Common functional principal component models for mortality forecasting (2014) (2)
Reconciling forecasts for hierarchical and grouped time series (2014) (2)
The Pricing and Trading of Options using a Hybrid Neural Network with Historical Volatility (1997) (2)
Outdoor fungal spores are associated with child asthma hospitalisations - a case-crossover study (2014) (2)
Data for "Forecasting: Principles and Practice" (3rd Edition) [R package fpp3 version 0.3] (2020) (2)
Forecasting based on state space models for exponential smoothing (2002) (2)
A Look at the Evaluation Setup of the M5 Forecasting Competition (2021) (1)
Instructor's Manual to Forecasting: methods and applications (1997) (1)
Tidy Temporal Data Frames and Tools [R package tsibble version 0.9.3] (2020) (1)
TITLE : INVESTIGATING THE INFLUENCE OF SYNOPTIC-SCALE 1 METEOROLOGY ON AIR QUALITY USING SELF-ORGANIZING MAPS AND 2 GENERALIZED ADDITIVE MODELLING (2010) (1)
Understanding links between water-quality variables and nitrate concentration in freshwater streams using high-frequency sensor data (2021) (1)
Abrupt, gradual and phenological change analysis using satellite image time series (2010) (1)
Local linear multiple regression with variable bandwidth in the presence of heteroscedasticity (2006) (1)
Exploratory graphics for functional data (2010) (1)
Forecasting Time-Series with Correlated Seasonality (2004) (1)
Explore Probability Distributions for Bivariate Temporal Granularities [R package gravitas version 0.1.3] (2020) (1)
Forecast short-term electricity demand using semi-parametric additive model (2010) (1)
Data Sets from "Forecasting: Methods and Applications" by Makridakis, Wheelwright & Hyndman (1998) [R package fma version 2.4] (2020) (1)
Normative data for the Rosner Test of Visual Analysis Skills on an Australian population. (2003) (1)
Revealing High-Frequency Trading Provision of Liquidity with Visualization (2019) (1)
Optimal non-negative forecast reconciliation (2020) (1)
Corrigendum to: "Hierarchical forecasts for Australian domestic tourism" [International journal of forecasting 25 (2009) 146-166] (2015) (1)
Approximations and boundary conditions for continuous-time threshold autoregressive processes (1994) (1)
Forecasting COVID-19 activity in Australia to support pandemic response: May to October 2020 (2022) (1)
Hierarchical and Grouped Time Series [R package hts version 6.0.1] (2020) (1)
Linear Innovations State Space Models (2008) (1)
The value of feedback in forecasting competitions 2 The online competition (2011) (1)
Fast Forecast Reconciliation Using Linear Models (2021) (1)
Residual diagnostic plots for model mis-specification in time series regression (2000) (0)
New IJF editors (2015) (0)
Change to the IJF editors (2015) (0)
On normalization and algorithm selection for unsupervised outlier detection (2019) (0)
A comparison of three nonparametric local linear extrapolation methods (2002) (0)
Early classification of spatio-temporal events using time-varying models (2018) (0)
Seasonal Functional Autoregressive Models [R package Rsfar version 0.0.1] (2021) (0)
Analysing Large Collections of Time Series (NII Shonan Meeting 2018-3) (2018) (0)
Computationally Efficient Learning of Statistical Manifolds (2021) (0)
TITLE : QUANTIFYING THE INFLUENCE OF LOCAL METEOROLOGY ON AIR QUALITY USING GENERALIZED ADDITIVE MODELING (2010) (0)
Supporting Graphs for Analysing Time Series [R package sugrrants version 0.2.8] (2020) (0)
Curriculum Vitae for R Markdown [R package vitae version 0.3.0] (2020) (0)
Some Properties of Linear Models (2008) (0)
Early classification of spatio-temporal events using partial information (2020) (0)
Modelling the participation function with a one-parameter family of cubic splines (2015) (0)
A Two-Level Hierarchical Tree Optimally Reconciling Forecasts in a Hierarchy (2014) (0)
HYTEX User’s Manual (2007) (0)
Detection of cybersecurity attacks through analysis of web browsing activities using principal component analysis (2021) (0)
Model selection in reconciling hierarchical time series (2022) (0)
Giving a useR! Talk (2011) (0)
A smoothing spline based test for non-linearity in a regression model (1999) (0)
Models with Regressor Variables (2008) (0)
The Australian Macro Database: An Online Resource for Macroeconomic Research in Australia (2017) (0)
Bayesian Rank Selection in Multivariate Regression (2016) (0)
Normalizing Seasonal Components (2008) (0)
Dynamic algorithm selection for pareto optimal set approximation (2016) (0)
Review of book: Chance encounters: A first course in data analysis and inference (1999) (0)
Statistical issues with using herbarium data for the estimation of invasion lag-phases (2015) (0)
Forecasting, causality and feedback (2022) (0)
Functional Time Series Analysis [R package ftsa version 5.9] (2020) (0)
Cross-temporal Probabilistic Forecast Reconciliation (2023) (0)
Conventional State Space Models (2008) (0)
Feature-Based Forecast Model Selection [R package seer version 1.1.5] (2020) (0)
Data from the M-Competitions [R package Mcomp version 2.8] (2018) (0)
Lancaster University Management School Working Paper 2015 : 3 Forecasting with Temporal Hierarchies (2015) (0)
Review of book two books: A primer of mathematical writing; Handbook of writing for the mathematical sciences (1999) (0)
Forecasting big time series data using R (2015) (0)
Review of ACT University Admission Index calculation (2006) (0)
Long-term Forecasts of Age-specific Labour Market Participation Rates with Functional Data Models (2016) (0)
Manifold learning with approximate nearest neighbors (2021) (0)
Prediction Distributions and Intervals (2008) (0)
Diverse Datasets for 'tsibble' [R package tsibbledata version 0.2.0] (2020) (0)
Review of current arrangements for producing PBS forward estimates (2002) (0)
Long-term forecasts of age-specific participation rates with functional data models (2016) (0)
Detecting distributional differences between temporal granularities for exploratory time series analysis (2021) (0)
Inventory Control Applications (2008) (0)
Review of book: Statistically speaking: A dictionary of quotations (1999) (0)
Exploring Election and Census Highly Informative Data Nationally for Australia [R package eechidna version 1.4.0] (2019) (0)
Conditional Heteroscedasticity and Applications in Finance (2008) (0)
Data Analysis and Graphics Using R: An Example-based Approach [Book Review] (2005) (0)
Reduced Forms and Relationships with ARIMA Models (2008) (0)
Review of "Leading Personalities in Statistical Science" (1998) (0)
Predicting the Whole Distribution with Methods for Depth Data Analysis Demonstrated on a Colorectal Cancer Treatment Study (2019) (0)
Estimation of Innovations State Space Models (2008) (0)
Linear Innovations State Space Models with Random Seed States (2008) (0)
Anomaly detection in dynamic networks (2022) (0)
Core Tools for Packages in the 'fable' Framework [R package fabletools version 0.2.1] (2020) (0)
Nonparametric and semiparametric response surface methodology : a review of designs , models and optimization techniques (2013) (0)
Challenges in forecasting peak electricity demand (2014) (0)

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