| Association between immune dysfunction and COVID-19 breakthrough infection after SARS-CoV-2 vaccination in the US J Sun, Q Zheng, V Madhira, AL Olex, AJ Anzalone, A Vinson, JA Singh, ... JAMA internal medicine 182 (2), 153-162, 2022 | 207 | 2022 |
| Subsampling bootstrap of count features of networks S Bhattacharyya, PJ Bickel | 79 | 2015 |
| Hierarchical community detection by recursive partitioning T Li, L Lei, S Bhattacharyya, K Van den Berge, P Sarkar, PJ Bickel, ... Journal of the American Statistical Association 117 (538), 951-968, 2022 | 71 | 2022 |
| Spectral clustering for multiple sparse networks: I S Bhattacharyya, S Chatterjee arXiv preprint arXiv:1805.10594, 2018 | 53 | 2018 |
| Community detection in networks using graph distance S Bhattacharyya, PJ Bickel arXiv preprint arXiv:1401.3915, 2014 | 38 | 2014 |
| Union of intersections (uoi) for interpretable data driven discovery and prediction K Bouchard, A Bujan, F Roosta, S Ubaru, M Prabhat, A Snijders, JH Mao, ... Advances in Neural Information Processing Systems 30, 2017 | 23 | 2017 |
| General community detection with optimal recovery conditions for multi-relational sparse networks with dependent layers S Bhattacharyya, S Chatterjee arXiv preprint arXiv:2004.03480, 2020 | 18 | 2020 |
| Clinical, social, and policy factors in COVID-19 cases and deaths: methodological considerations for feature selection and modeling in county-level analyses C Madlock-Brown, K Wilkens, N Weiskopf, N Cesare, S Bhattacharyya, ... BMC Public Health 22 (1), 747, 2022 | 16 | 2022 |
| Adaptive estimation in elliptical distributions with extensions to high dimensions S Bhattacharyya, PJ Bickel Preprint, 2014 | 15 | 2014 |
| Prediction of spread and regional development of hop powdery mildew: A network analysis DH Gent, S Bhattacharyya, T Ruiz Phytopathology 109 (8), 1392-1403, 2019 | 13 | 2019 |
| Consistent detection and optimal localization of all detectable change points in piecewise stationary arbitrarily sparse network-sequences S Bhattacharyya, S Chatterjee, SS Mukherjee arXiv preprint arXiv:2009.02112, 2020 | 8 | 2020 |
| Consistent Recovery of Communities from Sparse Multi-relational Networks: A Scalable Algorithm with Optimal Recovery Conditions S Bhattacharyya, S Chatterjee Complex Networks XI: Proceedings of the 11th Conference on Complex Networks …, 2020 | 8 | 2020 |
| Spectral clustering and block models: A review and a new algorithm S Bhattacharyya, PJ Bickel Statistical Analysis for High-Dimensional Data: The Abel Symposium 2014, 67-90, 2016 | 8 | 2016 |
| Spectral clustering for dynamic stochastic block model S Bhattacharyya, S Chatterjee Working Paper, 2017 | 7 | 2017 |
| Sparse, low-bias, and scalable estimation of high dimensional vector autoregressive models via union of intersections T Ruiz, M Balasubramanian, KE Bouchard, S Bhattacharyya arXiv preprint arXiv:1908.11464, 2019 | 5 | 2019 |
| Optimizing the Union of Intersections LASSO () and Vector Autoregressive () Algorithms for Improved Statistical Estimation at Scale M Balasubramanian, T Ruiz, B Cook, S Bhattacharyya, A Shrivastava, ... arXiv preprint arXiv:1808.06992, 2018 | 4 | 2018 |
| World War II and the Consumption Pattern of the Calcutta Middleclass S Bhattacharyya Sankhyā: The Indian Journal of Statistics, 197-200, 1947 | 4 | 1947 |
| Sparse and low-bias estimation of high dimensional vector autoregressive models T Ruiz, S Bhattacharyya, M Balasubramanian, K Bouchard Learning for Dynamics and Control, 55-64, 2020 | 3 | 2020 |
| Scaling of union of intersections for inference of granger causal networks from observational data M Balasubramanian, TD Ruiz, B Cook, M Prabhat, S Bhattacharyya, ... 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2020 | 3 | 2020 |
| Numerical characterization of support recovery in sparse regression with correlated design A Kumar, S Bhattacharyya, K Bouchard Communications in Statistics-Simulation and Computation 53 (3), 1504-1518, 2024 | 2 | 2024 |
