| Stochastic kriging for simulation metamodeling B Ankenman, BL Nelson, J Staum Operations research 58 (2), 371-382, 2010 | 965 | 2010 |
| Permeability of cracked steel fiber-reinforced concrete J Rapoport, CM Aldea, SP Shah, B Ankenman, A Karr Journal of materials in civil engineering 14 (4), 355-358, 2002 | 192 | 2002 |
| Effect of fiber dispersion on multiple cracking of cement composites Y Akkaya, SP Shah, B Ankenman Journal of Engineering Mechanics 127 (4), 311-316, 2001 | 142 | 2001 |
| Controlled sequential bifurcation: A new factor-screening method for discrete-event simulation H Wan, BE Ankenman, BL Nelson Operations Research 54 (4), 743-755, 2006 | 133 | 2006 |
| Comparison of Gaussian process modeling software CB Erickson, BE Ankenman, SM Sanchez European Journal of Operational Research 266 (1), 179-192, 2018 | 129 | 2018 |
| Enhancing stochastic kriging metamodels with gradient estimators X Chen, BE Ankenman, BL Nelson Operations Research 61 (2), 512-528, 2013 | 109 | 2013 |
| The effects of common random numbers on stochastic kriging metamodels X Chen, BE Ankenman, BL Nelson ACM Transactions on Modeling and Computer Simulation (TOMACS) 22 (2), 1-20, 2012 | 109 | 2012 |
| Standard errors for the eigenvalues in second-order response surface models S Bisgaard, B Ankenman Technometrics 38 (3), 238-246, 1996 | 94 | 1996 |
| Efficient generation of cycle time‐throughput curves through simulation and metamodeling F Yang, B Ankenman, BL Nelson Naval Research Logistics (NRL) 54 (1), 78-93, 2007 | 93 | 2007 |
| Improving the efficiency and efficacy of controlled sequential bifurcation for simulation factor screening H Wan, BE Ankenman, BL Nelson INFORMS Journal on Computing 22 (3), 482-492, 2010 | 64 | 2010 |
| Estimating cycle time percentile curves for manufacturing systems via simulation F Yang, BE Ankenman, BL Nelson INFORMS Journal on Computing 20 (4), 628-643, 2008 | 64 | 2008 |
| A quick assessment of input uncertainty BE Ankenman, BL Nelson Proceedings of the 2012 Winter Simulation Conference (WSC), 1-10, 2012 | 54 | 2012 |
| Analytic parameter design S Bisgaard, B Ankenman Quality Engineering 8 (1), 75-91, 1995 | 52 | 1995 |
| Optimal experimental design of human appraisals for modeling consumer preferences in engineering design C Hoyle, W Chen, B Ankenman, N Wang Journal of mechanical design 131 (7), 2009 | 49 | 2009 |
| Simulation in production planning: an overview with emphasis on recent developments in cycle time estimation BE Ankenman, JM Bekki, J Fowler, GT Mackulak, BL Nelson, F Yang Planning Production and Inventories in the Extended Enterprise: A State of …, 2010 | 40 | 2010 |
| Design of experiments with Two-and Four-level factors BE Ankenman Journal of Quality Technology 31 (4), 363-375, 1999 | 40 | 1999 |
| Optimal designs for mixed-effects models with two random nested factors BE Ankenman, AI Avilés, JC Pinheiro Statistica Sinica, 385-401, 2003 | 39 | 2003 |
| Metamodelling for cycle time-throughput-product mix surfaces using progressive model fitting F Yang, J Liu, BL Nelson, BE Ankenman, M Tongarlak Production Planning and Control 22 (1), 50-68, 2011 | 37 | 2011 |
| Sliced full factorial-based Latin hypercube designs as a framework for a batch sequential design algorithm W Duan, BE Ankenman, SM Sanchez, PJ Sanchez Technometrics 59 (1), 11-22, 2017 | 31 | 2017 |
| The beta distribution as a latent response model for ordinal data (I): estimation of location and dispersion parameters A Tamhane*, B Ankenman, Y Yang Journal of Statistical Computation and Simulation 72 (6), 473-494, 2002 | 31 | 2002 |
