| Bayesian uncertainty quantification for flows in heterogeneous porous media using reversible jump Markov chain Monte Carlo methods A Mondal, Y Efendiev, B Mallick, A Datta-Gupta Advances in Water Resources 33 (3), 241-256, 2010 | 84 | 2010 |
| SARS-CoV-2 infection in health care workers: A retrospective analysis and model study Y Bai, X Wang, Q Huang, H Wang, D Gurarie, M Ndeffo-Mbah, F Fan, P Fu, ... MedRxiv, 2020.03. 29.20047159, 2020 | 48* | 2020 |
| Analyzing stochastic computer models: A review with opportunities E Baker, P Barbillon, A Fadikar, RB Gramacy, R Herbei, D Higdon, ... Statistical Science 37 (1), 64-89, 2022 | 41* | 2022 |
| Risk factors of SARS-CoV-2 infection in healthcare workers: a retrospective study of a nosocomial outbreak X Wang, X Jiang, Q Huang, H Wang, D Gurarie, M Ndeffo-Mbah, F Fan, ... Sleep Medicine: X 2, 100028, 2020 | 39 | 2020 |
| Bayesian uncertainty quantification for subsurface inversion using a multiscale hierarchical model A Mondal, B Mallick, Y Efendiev, A Datta-Gupta Technometrics 56 (3), 381-392, 2014 | 26 | 2014 |
| SARS-CoV-2 transmission and control in a hospital setting: an individual-based modelling study Q Huang, A Mondal, X Jiang, MA Horn, F Fan, P Fu, X Wang, H Zhao, ... Royal Society Open Science 8 (3), 201895, 2021 | 18 | 2021 |
| Preconditioning Markov chain Monte Carlo method for geomechanical subsidence using multiscale method and machine learning technique M Vasilyeva, A Tyrylgin, DL Brown, A Mondal Journal of Computational and Applied Mathematics 392, 113420, 2021 | 14 | 2021 |
| Computer model emulation with high-dimensional functional output in large-scale observing system uncertainty experiments P Ma, A Mondal, BA Konomi, J Hobbs, JJ Song, EL Kang Technometrics 64 (1), 65-79, 2022 | 13 | 2022 |
| Stratified random sampling for dependent inputs in Monte Carlo simulations from computer experiments A Mondal, A Mandal Journal of Statistical Planning and Inference 205, 269-282, 2020 | 12 | 2020 |
| Computer model calibration based on image warping metrics: an application for sea ice deformation Y Guan, C Sampson, JD Tucker, W Chang, A Mondal, M Haran, D Sulsky Journal of Agricultural, Biological and Environmental Statistics 24, 444-463, 2019 | 12 | 2019 |
| A new approach for fast evaluations of large portfolios of oil and gas fields D Castiñeira, A Mondal, S Matringe SPE Annual Technical Conference and Exhibition?, SPE-170989-MS, 2014 | 8 | 2014 |
| Individual-based modeling of COVID-19 transmission in college communities DG Durward Cator, Qimin Huang, Anirban Mondal, Martial Ndeffo-Mbah Mathematical Biosciences and Engineering 19 (12), 13861-13877, 2022 | 4* | 2022 |
| History Matching Channelized Reservoirs Using Reversible Jump Markov Chain Monte Carlo Methods J Xie, A Mondal, Y Efendiev, B Mallick, A Datta-Gupta SPE Improved Oil Recovery Symposium, 2010 | 3 | 2010 |
| Bayesian Inference for COVID-19 Transmission Dynamics in India Using a Modified SEIR Model K Yin, A Mondal, M Ndeffo-Mbah, P Banerjee, Q Huang, D Gurarie Mathematics 10 (21), 4037, 2022 | 2 | 2022 |
| Spatial retrievals of atmospheric carbon dioxide from satellite observations J Hobbs, M Katzfuss, D Zilber, J Brynjarsdóttir, A Mondal, V Berrocal Remote Sensing 13 (4), 571, 2021 | 2 | 2021 |
| Efficient recovery of petroleum from reservoir and optimized well design and operation through well-based production and automated decline curve analysis A Mondal, DC Areas, H Darabi, SF Matringe US Patent 10,508,532, 2019 | 2 | 2019 |
| A Parametric Approach to Unmixing Remote Sensing Crop Growth Signatures C Lewis-Beck, A Mondal, Z Zhu, JJ Song, J Hobbs Journal of Agricultural, Biological and Environmental Statistics 24 (3), 502-516, 2019 | 2 | 2019 |
| A two-stage adaptive Metropolis algorithm A Mondal, K Yin, A Mandal Journal of Statistical Computation and Simulation, 2022 | 1 | 2022 |
| Bayesian uncertainty quantification for channelized reservoirs via reduced dimensional parameterization A Mondal, J Wei Mathematics 9 (9), 1067, 2021 | 1 | 2021 |
| Bayesian Uncertainty Quantification for Large Scale Spatial Inverse Problems A Mondal Texas A & M University, 2012 | 1 | 2012 |
