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Researcher · Monash University · Australia

Rob J. Hyndman

Rob J. Hyndman publishes mostly in Management Science and Operations Research, Statistics and Probability and Artificial Intelligence, on topics such as Forecasting Techniques and Applications, Monetary Policy and Economic Impact and Statistical Methods and Inference.

World rank
#2,182
of 1,633,909 ranked researchers
Rank in Australia
#49
of 35,497
Works
84
Citations
2.5k
Citations per work
30.3

What does Rob J. Hyndman research?

Management Science and Operations Research: 22.5%Statistics and Probability: 10.8%Artificial Intelligence: 9.9%General Economics, Econometrics and Finance: 7.2%other fields: 49.6%22%top field
Management Science and Operations Research22.5%Statistics and Probability10.8%Artificial Intelligence9.9%General Economics, Econometrics and Finance7.2%other fields49.6%

Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.

  1. 1Management Science and Operations Research22% of their works
  2. 2Statistics and Probability11% of their works
  3. 3Artificial Intelligence10% of their works
  4. 4General Economics, Econometrics and Finance7% of their works
  5. 5Economics and Econometrics5% of their works
  6. 6Signal Processing4% 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, Monetary Policy, Deep Learning, Clustering and Economic Growth.

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 21 words, with their numbers
  1. Neural Networks202 topics
  2. Time Series192 topics
  3. Exponential Smoothing151 topic
  4. Forecasting151 topic
  5. Monetary Policy102 topics
  6. Deep Learning92 topics
  7. Clustering72 topics
  8. Economic Growth71 topic
  9. Fiscal Policy71 topic
  10. Regularization51 topic
  11. Stock Market Prediction51 topic
  12. Time Series Forecasting51 topic
  13. Variable Selection51 topic
  14. Dynamic Time Warping41 topic
  15. Feature Extraction41 topic
  16. Mortality Forecasting41 topic
  17. Population Ageing41 topic
  18. Bayesian Inference31 topic
  19. Economic Policy Uncertainty31 topic
  20. Mixture Models31 topic
  21. Oil Price Shocks31 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?

Science Explorer counts 84 works and 2,549 citations for Rob J. Hyndman, ranking #2,182 of 1,633,909 researchers worldwide on the composite 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.

Papers, co-authors, who cited this work and researchers on the nearest topics are in the interactive view on the map. Is this your page? Request a correction or removal.