Daniel L. Oberski
About
Daniel L. Oberski has authored 74 papers that have received a total of 1.8k indexed citations.
This includes 26 papers in Statistics and Probability, 25 papers in Artificial Intelligence and 16 papers in Sociology and Political Science. The topics of these papers are Statistical Methods and Bayesian Inference (15 papers), Machine Learning in Healthcare (8 papers) and Advanced Causal Inference Techniques (7 papers). Daniel L. Oberski is often cited by papers focused on Statistical Methods and Bayesian Inference (15 papers), Machine Learning in Healthcare (8 papers) and Advanced Causal Inference Techniques (7 papers) and collaborates with scholars based in The Netherlands, United Kingdom and United States. Daniel L. Oberski's co-authors include Jeroen K. Vermunt, Ayoub Bagheri, Folkert W. Asselbergs, Raoul Schram and Arjan Sammani and has published in prestigious journals such as Nature, Journal of Personality and Social Psychology and Journal of the American Statistical Association.
In The Last Decade
Explore authors with similar magnitude of impact
Breakdown of academic impact, for papers by Sen Yang Breakdown of academic impact, for papers by Lucia Carboni Breakdown of academic impact, for papers by Amandeep Kaur Breakdown of academic impact, for papers by Zhihong Yu Breakdown of academic impact, for papers by Yasuo Fukami Breakdown of academic impact, for papers by D. C. Phillips Breakdown of academic impact, for papers by V. Demoulin Breakdown of academic impact, for papers by R. Kunz