James M. Robins
James M. Robins publishes mostly in Statistics and Probability, Artificial Intelligence and Economics and Econometrics, on topics such as Advanced Causal Inference Techniques, Statistical Methods and Inference and Statistical Methods and Bayesian Inference.
- World rank
- #8,778 of 7,710,434 ranked researchers
- Rank in United States
- #3,021 of 1,627,098
- Works
- 457
- Citations
- 75k
- Citations per work
- 164.9
What does James M. Robins research?
James M. Robins's work is mostly in Mathematics (57%), Computer Science (6%), Economics, Econometrics and Finance (5%).
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 Sciences29163.6%
- Mathematics26357.5%
- Computer Science286.1%
- Everything else11525.1%
- Health Sciences286.2%
- Medicine214.7%
- Health Professions71.5%
- Social Sciences235.1%
- 1Statistics and Probability57% of their works
- 2Artificial Intelligence6% of their works
- 3Economics and Econometrics5% of their works
- 4Infectious Diseases3% of their works
- 5General Health Professions2% of their works
- 6Public Health, Environmental and Occupational Health2% of their works
Research topics
- Advanced Causal Inference Techniques
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Statistical Methods in Clinical Trials
- Health Systems, Economic Evaluations, Quality of Life
- Bayesian Modeling and Causal Inference
- Bayesian Methods and Mixture Models
- HIV/AIDS Research and Interventions
Which keywords describe James M. Robins's research?
The keywords of their largest research topics: Bayesian Methods, Causal Inference, Observational Studies, Propensity Score, Regularization, Variable Selection, Bayesian Modeling and Multiple Imputation.
- HIV Transmission
- Mixture Models
- Graphical Models
- Quality of Life
- False Discovery Rate
- Multiple Imputation
- Variable Selection
- Propensity Score
- Causal Inference
- Bayesian Methods
- Observational Studies
- Regularization
- Bayesian Modeling
- Adaptive Designs
- Cost-effectiveness Analysis
- Bayesian Networks
- Clustering
- Antiretroviral Therapy
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 18 words, with their numbers
- Bayesian Methods2792 topics
- Causal Inference2742 topics
- Observational Studies2381 topic
- Propensity Score2381 topic
- Regularization2031 topic
- Variable Selection2031 topic
- Bayesian Modeling1491 topic
- Multiple Imputation1491 topic
- Adaptive Designs761 topic
- False Discovery Rate761 topic
- Cost-effectiveness Analysis461 topic
- Quality of Life461 topic
- Bayesian Networks361 topic
- Graphical Models361 topic
- Clustering201 topic
- Mixture Models201 topic
- Antiretroviral Therapy161 topic
- HIV Transmission161 topic
Where does James M. Robins work?
James M. Robins's main affiliation in the publication record is Harvard University, United States.
How many publications and citations does James M. Robins have?
OpenAlex counts 457 works and 75,381 citations for James M. Robins, an h-index of 111, ranking #8,778 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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