Tirthankar Dasgupta
About
Tirthankar Dasgupta has authored 71 papers that have received a total of 1.2k indexed citations.
This includes 17 papers in Management Science and Operations Research, 15 papers in Artificial Intelligence and 14 papers in Statistics and Probability. The topics of these papers are Optimal Experimental Design Methods (14 papers), Manufacturing Process and Optimization (11 papers) and Advanced Causal Inference Techniques (9 papers). Tirthankar Dasgupta is often cited by papers focused on Optimal Experimental Design Methods (14 papers), Manufacturing Process and Optimization (11 papers) and Advanced Causal Inference Techniques (9 papers) and collaborates with scholars based in United States, India and Australia. Tirthankar Dasgupta's co-authors include Qiang Huang, Arman Sabbaghi, Peng Ding, Anupam Basu and Donald B. Rubin and has published in prestigious journals such as Journal of the American Statistical Association, ACS Nano and Technometrics.
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