Jeffrey S. Simonoff
Jeffrey S. Simonoff publishes mostly in Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty, on topics such as Advanced Statistical Methods and Models, Statistical Methods and Inference and Statistical Methods and Bayesian Inference.
- World rank
- #628,568 of 7,710,434 ranked researchers
- Rank in United States
- #214,767 of 1,627,098
- Works
- 221
- Citations
- 9.1k
- Citations per work
- 41.1
What does Jeffrey S. Simonoff research?
Jeffrey S. Simonoff's work is mostly in Mathematics (43%), Decision Sciences (10%), Computer Science (9%).
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
- Physical Sciences11451.6%
- Mathematics9442.7%
- Computer Science208.9%
- Everything else7031.7%
- Social Sciences3716.7%
- Decision Sciences2310.3%
- Social Sciences83.4%
- Economics, Econometrics and Finance73.0%
- 1Statistics and Probability43% of their works
- 2Artificial Intelligence9% of their works
- 3Statistics, Probability and Uncertainty7% of their works
- 4Sociology and Political Science3% of their works
- 5Management Science and Operations Research3% of their works
- 6Economics and Econometrics3% of their works
Research topics
- Advanced Statistical Methods and Models
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Advanced Statistical Process Monitoring
- Bayesian Methods and Mixture Models
- Infrastructure Resilience and Vulnerability Analysis
- Bayesian Modeling and Causal Inference
- Risk and Safety Analysis
Which keywords describe Jeffrey S. Simonoff's research?
The keywords of their largest research topics: Multicollinearity, Regression Analysis, Regularization, Variable Selection, Bayesian Modeling, Multiple Imputation, Bayesian Networks and Healthcare Improvement.
- Fault Tree Analysis
- Causal Inference
- Infrastructure Resilience
- Clustering
- Healthcare Improvement
- Multiple Imputation
- Variable Selection
- Regression Analysis
- Multicollinearity
- Regularization
- Bayesian Modeling
- Bayesian Networks
- Statistical Process Control
- Mixture Models
- Interdependent Systems
- Graphical Models
- Quantitative Risk Assessment
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 17 words, with their numbers
- Multicollinearity721 topic
- Regression Analysis721 topic
- Regularization671 topic
- Variable Selection671 topic
- Bayesian Modeling461 topic
- Multiple Imputation461 topic
- Bayesian Networks202 topics
- Healthcare Improvement201 topic
- Statistical Process Control201 topic
- Clustering151 topic
- Mixture Models151 topic
- Infrastructure Resilience121 topic
- Interdependent Systems121 topic
- Causal Inference111 topic
- Graphical Models111 topic
- Fault Tree Analysis91 topic
- Quantitative Risk Assessment91 topic
Where does Jeffrey S. Simonoff work?
Jeffrey S. Simonoff's main affiliation in the publication record is New York University, United States.
How many publications and citations does Jeffrey S. Simonoff have?
OpenAlex counts 221 works and 9,091 citations for Jeffrey S. Simonoff, an h-index of 36, ranking #628,568 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.
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.
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