| Unbiased estimation of gross errors in process measurements DK Rollins, JF Davis AIChE journal 38 (4), 563-572, 1992 | 125 | 1992 |
| Hypoglycemia early alarm systems based on multivariable models K Turksoy, ES Bayrak, L Quinn, E Littlejohn, D Rollins, A Cinar Industrial & engineering chemistry research 52 (35), 12329-12336, 2013 | 124 | 2013 |
| Adaptive system identification for estimating future glucose concentrations and hypoglycemia alarms M Eren-Oruklu, A Cinar, DK Rollins, L Quinn Automatica 48 (8), 1892-1897, 2012 | 100 | 2012 |
| A continuous-time nonlinear dynamic predictive modeling method for Hammerstein processes DK Rollins, N Bhandari, AM Bassily, GM Colver, ST Chin Industrial & Engineering Chemistry Research 42 (4), 860-872, 2003 | 60 | 2003 |
| Free-living inferential modeling of blood glucose level using only noninvasive inputs DK Rollins, N Bhandari, J Kleinedler, K Kotz, A Strohbehn, L Boland, ... Journal of process control 20 (1), 95-107, 2010 | 55 | 2010 |
| Unbiased estimation in dynamic data reconciliation DK Rollins, S Devanathan AIChE journal 39 (8), 1330-1334, 1993 | 51 | 1993 |
| Principal component analysis-based predictive modeling and optimization of permanent deformation in asphalt pavement: elimination of correlated inputs and extrapolation in modeling P Ghasemi, M Aslani, DK Rollins, RC Williams Structural and Multidisciplinary Optimization 59, 1335-1353, 2019 | 46 | 2019 |
| Issues regarding artificial neural network modeling for reactors and fermenters VCP Chen, DK Rollins Bioprocess Engineering 22, 85-93, 2000 | 44 | 2000 |
| Intelligent selection of hypothesis tests to enhance gross error identification DK Rollins, Y Cheng, S Devanathan Computers & chemical engineering 20 (5), 517-530, 1996 | 44 | 1996 |
| Continuous‐time Hammerstein nonlinear modeling applied to distillation N Bhandari, D Rollins AIChE Journal 50 (2), 530-533, 2004 | 38 | 2004 |
| Continuous-time multiple-input, multiple-output Wiener modeling method N Bhandari, DK Rollins Industrial & Engineering Chemistry Research 42 (22), 5583-5595, 2003 | 37 | 2003 |
| A superior approach to indices in determining mixture segregation DK Rollins, DL Faust, DL Jabas Powder Technology 84 (3), 277-282, 1995 | 32 | 1995 |
| Gross error detection when variance‐covariance matrices are unknown DK Rollins, JF Davis AIChE journal 39 (8), 1335-1341, 1993 | 32 | 1993 |
| Principal component neural networks for modeling, prediction, and optimization of hot mix asphalt dynamics modulus P Ghasemi, M Aslani, DK Rollins, RC Williams Infrastructures 4 (3), 53, 2019 | 28 | 2019 |
| Hypoglycemia early alarm systems based on recursive autoregressive partial least squares models ES Bayrak, K Turksoy, A Cinar, L Quinn, E Littlejohn, D Rollins Journal of diabetes science and technology 7 (1), 206-214, 2013 | 27 | 2013 |
| Modeling rutting susceptibility of asphalt pavement using principal component pseudo inputs in regression and neural networks P Ghasemi, M Aslani, DK Rollins, RC Williams, VR Schaefer Elsevier, 2018 | 26 | 2018 |
| Constrained MIMO dynamic discrete-time modeling exploiting optimal experimental design DK Rollins, N Bhandari Journal of Process Control 14 (6), 671-683, 2004 | 26 | 2004 |
| Continuous-time Hammerstein and Wiener modeling under second-order static nonlinearity for periodic process signals D Zhai, DK Rollins Sr, N Bhandari, H Wu Computers & chemical engineering 31 (1), 1-12, 2006 | 24 | 2006 |
| High vertical resolution antennas for NMR logging R Taherian, B Sun, A Sezginer US Patent 6,781,371, 2004 | 22 | 2004 |
| Accurate simplistic predictive modeling of nonlinear dynamic processes DK Rollins, JM Liang, P Smith ISA transactions 36 (4), 293-303, 1997 | 20 | 1997 |
