Question 1

What does James M. Robins research?

Accepted Answer

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.

Question 2

Which keywords describe James M. Robins's research?

Accepted Answer

The keywords of their largest research topics: Bayesian Methods, Causal Inference, Observational Studies, Propensity Score, Regularization, Variable Selection, Bayesian Modeling and Multiple Imputation.

Question 3

Where does James M. Robins work?

Accepted Answer

James M. Robins's main affiliation in the publication record is Harvard University, United States.

Question 4

How many publications and citations does James M. Robins have?

Accepted Answer

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.

Question 5

Is James M. Robins's h-index high?

Accepted Answer

An h-index of 111 is at or above that of 99.9% of the 14,819 ranked researchers whose main subfield is Statistics and Probability, which is in the top 0.1%.