Michèle Hibon
Michèle Hibon publishes mostly in Management Science and Operations Research, General Economics, Econometrics and Finance and Economics and Econometrics, on topics such as Forecasting Techniques and Applications, Stock Market Forecasting Methods and Monetary Policy and Economic Impact.
- World rank
- #538,951 of 7,710,434 ranked researchers
- Rank in France
- #27,849 of 324,115
- Works
- 21
- Citations
- 5.8k
- Citations per work
- 275.1
What does Michèle Hibon research?
Michèle Hibon's work is mostly in Decision Sciences (54%), Economics, Econometrics and Finance (20%), Mathematics (6%).
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
- Social Sciences1780.0%
- Physical Sciences210.0%
- Mathematics16.0%
- Computer Science14.0%
- Everything else210.0%
- 1Management Science and Operations Research54% of their works
- 2General Economics, Econometrics and Finance14% of their works
- 3Economics and Econometrics6% of their works
- 4Management Information Systems6% of their works
- 5Statistics and Probability6% of their works
- 6Artificial Intelligence4% of their works
Research topics
Which keywords describe Michèle Hibon's research?
The keywords of their largest research topics: Neural Networks, Forecasting, Time Series, Deep Learning, Forecasting Models, Stock Market Prediction, Time Series Forecasting and Fiscal Policy.
- Information Systems
- Innovation Diffusion
- Agent-Based Modeling
- Multicollinearity
- Analytics
- Fiscal Policy
- Stock Market Prediction
- Deep Learning
- Forecasting
- Neural Networks
- Time Series
- Forecasting Models
- Time Series Forecasting
- Monetary Policy
- Big Data
- Regression Analysis
- Backpropagation Learning
- Self-Organizing Maps
- Software Development
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. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.
All 19 words, with their numbers
- Neural Networks273 topics
- Forecasting171 topic
- Time Series171 topic
- Deep Learning102 topics
- Forecasting Models102 topics
- Stock Market Prediction81 topic
- Time Series Forecasting81 topic
- Fiscal Policy71 topic
- Monetary Policy71 topic
- Analytics31 topic
- Big Data31 topic
- Multicollinearity31 topic
- Regression Analysis31 topic
- Agent-Based Modeling21 topic
- Backpropagation Learning21 topic
- Innovation Diffusion21 topic
- Self-Organizing Maps21 topic
- Information Systems11 topic
- Software Development11 topic
Where does Michèle Hibon work?
Michèle Hibon's main affiliation in the publication record is INSEAD, France.
How many publications and citations does Michèle Hibon have?
OpenAlex counts 21 works and 5,778 citations for Michèle Hibon, an h-index of 14, ranking #538,951 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised citation 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 have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.
Discussion
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