Rob J. Hyndman
Rob J. Hyndman publishes mostly in Management Science and Operations Research, Artificial Intelligence and Statistics and Probability, on topics such as Forecasting Techniques and Applications, Time Series Analysis and Forecasting and Stock Market Forecasting Methods.
- World rank
- #30,442 of 7,710,434 ranked researchers
- Rank in Australia
- #848 of 140,210
- Works
- 561
- Citations
- 44k
- Citations per work
- 78.0
What does Rob J. Hyndman research?
Rob J. Hyndman's work is mostly in Decision Sciences (23%), Computer Science (15%), Mathematics (7%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Everything else24844.2%
- Social Sciences16429.2%
- Decision Sciences12923.0%
- Economics, Econometrics and Finance356.2%
- Physical Sciences14926.6%
- Computer Science8314.8%
- Mathematics417.3%
- Engineering254.5%
- 1Management Science and Operations Research23% of their works
- 2Artificial Intelligence9% of their works
- 3Statistics and Probability7% of their works
- 4Economics and Econometrics6% of their works
- 5Signal Processing6% of their works
- 6Electrical and Electronic Engineering4% of their works
Research topics
Which keywords describe Rob J. Hyndman's research?
The keywords of their largest research topics: Neural Networks, Time Series, Exponential Smoothing, Forecasting, Deep Learning, Clustering, Dynamic Time Warping and Stock Market Prediction.
- Regularization
- Multicollinearity
- Mortality Forecasting
- Load Forecasting
- Electricity Price Forecasting
- Stock Market Prediction
- Clustering
- Forecasting
- Time Series
- Neural Networks
- Exponential Smoothing
- Deep Learning
- Dynamic Time Warping
- Time Series Forecasting
- Fiscal Policy
- Monetary Policy
- Population Ageing
- Regression Analysis
- Variable Selection
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.
All 19 words, with their numbers
- Neural Networks2293 topics
- Time Series2022 topics
- Exponential Smoothing1451 topic
- Forecasting1451 topic
- Deep Learning1413 topics
- Clustering571 topic
- Dynamic Time Warping571 topic
- Stock Market Prediction521 topic
- Time Series Forecasting521 topic
- Electricity Price Forecasting321 topic
- Fiscal Policy321 topic
- Load Forecasting321 topic
- Monetary Policy321 topic
- Mortality Forecasting301 topic
- Population Ageing301 topic
- Multicollinearity271 topic
- Regression Analysis271 topic
- Regularization271 topic
- Variable Selection271 topic
Where does Rob J. Hyndman work?
Rob J. Hyndman's main affiliation in the publication record is Monash University, Australia.
How many publications and citations does Rob J. Hyndman have?
OpenAlex counts 561 works and 43,773 citations for Rob J. Hyndman, an h-index of 77, ranking #30,442 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
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