| Response surface methodology AI Khuri, S Mukhopadhyay Wiley interdisciplinary reviews: Computational statistics 2 (2), 128-149, 2010 | 2333 | 2010 |
| Tensile bond strength of an adhesive resin cement to different alloys having various surface treatments A Abreu, MA Loza, A Elias, S Mukhopadhyay, S Looney, FA Rueggeberg The Journal of prosthetic dentistry 101 (2), 107-118, 2009 | 98 | 2009 |
| Wiley Interdiscip. Rev AI Khuri, S Mukhopadhyay Comput. Stat 2 (2), 128, 2010 | 59 | 2010 |
| Effect of metal type and surface treatment on in vitro tensile strength of copings cemented to minimally retentive preparations A Abreu, MA Loza, A Elias, S Mukhopadhyay, FA Rueggeberg The Journal of prosthetic dentistry 98 (3), 199-207, 2007 | 49 | 2007 |
| Estimation of undetected COVID-19 infections in India S Mukhopadhyay, D Chakraborty MedRxiv, 2020.04. 20.20072892, 2020 | 35 | 2020 |
| Anomalies in the motion dynamics of long-flagella mutants of Chlamydomonas reinhardtii DK Khona, VG Rao, MJ Motiwalla, PCS Varma, AR Kashyap, K Das, ... Journal of biological physics 39, 1-14, 2013 | 22 | 2013 |
| Comparison of designs for multivariate generalized linear models S Mukhopadhyay, AI Khuri Journal of Statistical Planning and Inference 138 (1), 169-183, 2008 | 19 | 2008 |
| Bayesian crossover designs for generalized linear models SP Singh, S Mukhopadhyay Computational Statistics & Data Analysis 104, 35-50, 2016 | 16 | 2016 |
| GLM designs: the dependence on unknown parameters dilemma AI Khuri, S Mukhopadhyay Response Surface Methodology and Related Topics, 203-223, 2006 | 16 | 2006 |
| Optimization in a multivariate generalized linear model situation S Mukhopadhyay, AI Khuri Computational statistics & data analysis 52 (10), 4625-4634, 2008 | 11 | 2008 |
| A history of juvenile mild malaria exacerbates chronic stress-evoked anxiety-like behavior, neuroinflammation, and decline of adult hippocampal neurogenesis in mice SK Guha, I Sarkar, M Patgaonkar, S Banerjee, S Mukhopadhyay, ... Journal of Neuroimmunology 348, 577363, 2020 | 8 | 2020 |
| Modeling and forecasting Indian malaria incidence using generalized time series models S Mukhopadhyay, R Tiwari, P Shetty, NJ Gogtay, UM Thatte Communications in Statistics: Case Studies, Data Analysis and Applications 5 …, 2019 | 8 | 2019 |
| Bayesian optimal cluster designs SP Singh, S Mukhopadhyay Statistical Methodology 32, 36-52, 2016 | 8 | 2016 |
| On generalized multinomial models and joint percentile estimation I Das, S Mukhopadhyay Journal of Statistical Planning and Inference 145, 190-203, 2014 | 8 | 2014 |
| Comparison of designs for generalized linear models under model misspecification S Mukhopadhyay, AI Khuri Statistical Methodology 9 (3), 285-304, 2012 | 8 | 2012 |
| Autoregressive and moving average models for zero‐inflated count time series V Sathish, S Mukhopadhyay, R Tiwari Statistica Neerlandica 76 (2), 190-218, 2022 | 7 | 2022 |
| Variable selection method for quantitative trait analysis based on parallel genetic algorithm S Mukhopadhyay, V George, H Xu Annals of human genetics 74 (1), 88-96, 2010 | 7 | 2010 |
| Optimal designs for some bivariate cokriging models S Dasgupta, S Mukhopadhyay, J Keith Journal of Statistical Planning and Inference 221, 9-28, 2022 | 6 | 2022 |
| Exact Bayesian designs for count time series R Singh, S Mukhopadhyay Computational Statistics & Data Analysis 134, 157-170, 2019 | 6 | 2019 |
| Predictive likelihood for coherent forecasting of count time series S Mukhopadhyay, V Sathish Journal of Forecasting 38 (3), 222-235, 2019 | 6 | 2019 |
Andre' KhuriProfessor Emeritus of Statistics, University of FloridaVerified email at stat.ufl.edu
