| Year |
Citation |
Score |
| 2017 |
Oz B, Haviv M, Puterman ML. The advantage of relative priority regimes in multi-class multi-server queueing systems with strategic customers Operations Research Letters. 45: 498-502. DOI: 10.1016/J.Orl.2017.07.005 |
0.351 |
|
| 2015 |
Ma X, Sauré A, Puterman ML, Taylor M, Tyldesley S. Capacity planning and appointment scheduling for new patient oncology consults. Health Care Management Science. PMID 26156688 DOI: 10.1007/S10729-015-9331-5 |
0.346 |
|
| 2015 |
Saure A, Patrick J, Puterman ML. Simulation-based approximate policy iteration with generalized logistic functions Informs Journal On Computing. 27: 579-595. DOI: 10.1287/Ijoc.2015.0645 |
0.392 |
|
| 2014 |
Gocgun Y, Puterman ML. Dynamic scheduling with due dates and time windows: an application to chemotherapy patient appointment booking. Health Care Management Science. 17: 60-76. PMID 24114392 DOI: 10.1007/S10729-013-9253-Z |
0.384 |
|
| 2013 |
Zhang Y, Puterman ML. Developing an adaptive policy for long-term care capacity planning. Health Care Management Science. 16: 271-9. PMID 23512643 DOI: 10.1007/S10729-013-9229-Z |
0.355 |
|
| 2012 |
Zhang Y, Puterman ML, Atkins D. Residential long-term care capacity planning: the shortcomings of ratio-based forecasts. Healthcare Policy = Politiques De Santé. 7: 68-81. PMID 23634164 DOI: 10.12927/Hcpol.2013.22881 |
0.308 |
|
| 2012 |
Santibáñez P, Aristizabal R, Puterman ML, Chow VS, Huang W, Kollmannsberger C, Nordin T, Runzer N, Tyldesley S. Operations research methods improve chemotherapy patient appointment scheduling. Joint Commission Journal On Quality and Patient Safety / Joint Commission Resources. 38: 541-53. PMID 23240262 DOI: 10.1016/S1553-7250(12)38071-9 |
0.313 |
|
| 2012 |
Zhang Y, Puterman ML, Nelson M, Atkins D. A Simulation Optimization Approach to Long-Term Care Capacity Planning Operations Research. 60: 249-261. DOI: 10.1287/Opre.1110.1026 |
0.316 |
|
| 2012 |
Lavieri MS, Puterman ML, Tyldesley S, Morris WJ. When to treat prostate cancer patients based on their PSA dynamics Iie Transactions On Healthcare Systems Engineering. 2: 62-77. DOI: 10.1080/19488300.2012.666631 |
0.308 |
|
| 2012 |
Sauré A, Patrick J, Tyldesley S, Puterman ML. Dynamic multi-appointment patient scheduling for radiation therapy European Journal of Operational Research. 223: 573-584. DOI: 10.1016/J.Ejor.2012.06.046 |
0.368 |
|
| 2012 |
Ødegaard F, Puterman ML. Estimating intermediate price transitions in online auctions Applied Stochastic Models in Business and Industry. 28: 529-541. DOI: 10.1002/Asmb.928 |
0.309 |
|
| 2011 |
Chow VS, Puterman ML, Salehirad N, Huang W, Atkins D. Reducing surgical ward congestion through improved surgical scheduling and uncapacitated simulation Production and Operations Management. 20: 418-430. DOI: 10.1111/J.1937-5956.2011.01226.X |
0.323 |
|
| 2009 |
Kapalka BA, Katircioglu K, Puterman ML. Retail Inventory Control With Lost Sales, Service Constraints, And Fractional Lead Times Production and Operations Management. 8: 393-408. DOI: 10.1111/J.1937-5956.1999.Tb00315.X |
0.364 |
|
| 2008 |
Lavieri MS, Regan S, Puterman ML, Ratner PA. Using operations research to plan the british columbia registered nurses' workforce. Healthcare Policy = Politiques De Santé. 4: e117-35. PMID 19377361 DOI: 10.12927/Hcpol.2008.20159 |
0.307 |
|
| 2008 |
Patrick J, Puterman ML. Reducing Wait Times through Operations Research: Optimizing the Use of Surge Capacity. Healthcare Policy = Politiques De Santé. 3: 75-88. PMID 19305770 DOI: 10.12927/Hcpol.2008.19575 |
0.365 |
|
| 2008 |
Grassmann WK, Puterman ML, L'Ecuyer P, Ingolfsson A. Four Canadian contributions to stochastic modeling Infor. 46: 3-14. DOI: 10.3138/Infor.46.1.3 |
0.312 |
|
| 2008 |
Patrick J, Puterman ML, Queyranne M. Dynamic Multipriority Patient Scheduling for a Diagnostic Resource Operations Research. 56: 1507-1525. DOI: 10.1287/Opre.1080.0590 |
0.393 |
|
| 2007 |
Odegaard F, Chen L, Quee R, Puterman ML. Improving the efficiency of hospital porter services, part 2: schedule optimization and simulation model. Journal For Healthcare Quality : Official Publication of the National Association For Healthcare Quality. 29: 12-8. PMID 17518028 DOI: 10.1111/J.1945-1474.2007.Tb00170.X |
0.305 |
|
| 2007 |
Patrick J, Puterman ML. Improving resource utilization for diagnostic services through flexible inpatient scheduling: A method for improving resource utilization Journal of the Operational Research Society. 58: 235-245. DOI: 10.1057/Palgrave.Jors.2602242 |
0.357 |
|
| 2005 |
Carvalho AX, Puterman ML. Learning and pricing in an internet environment with binomial demands Journal of Revenue and Pricing Management. 3: 320-336. DOI: 10.1057/Palgrave.Rpm.5170118 |
0.37 |
|
| 2004 |
Goto JH, Lewis ME, Puterman ML. Coffee, Tea, or ...?: A Markov Decision Process Model for Airline Meal Provisioning Transportation Science. 38: 107-118. DOI: 10.1287/Trsc.1030.0022 |
0.408 |
|
| 2003 |
Begen MA, Puterman ML. Development Of A Catch Allocation Tool Design For Production Planning At Js Mcmillan Fisheries Infor. 41: 235-244. DOI: 10.1080/03155986.2003.11732678 |
0.31 |
|
| 2002 |
Ding X, Puterman ML, Bisi A. The Censored Newsvendor and the Optimal Acquisition of Information Operations Research. 50: 517-527. DOI: 10.1287/Opre.50.3.517.7752 |
0.7 |
|
| 2001 |
Swami S, Puterman ML, Weinberg CB. Play It Again, Sam? Optimal Replacement Policies for a Motion Picture Exhibitor Manufacturing and Service Operations Management. 3: 369-386. DOI: 10.1287/Msom.3.4.369.9967 |
0.392 |
|
| 2001 |
Lewis ME, Puterman ML. A probabilistic analysis of bias optimality in unichain Markov decision processes Ieee Transactions On Automatic Control. 46: 96-100. DOI: 10.1109/9.898698 |
0.383 |
|
| 2001 |
Wang P, Puterman ML. Analysis of longitudinal data of epileptic seizure counts: A two-state hidden Markov regression approach Biometrical Journal. 43: 941-962. DOI: 10.1002/1521-4036(200112)43:8<941::Aid-Bimj941>3.0.Co;2-# |
0.32 |
|
| 1999 |
Wang P, Puterman ML. Markov Poisson regression models for discrete time series. Part 1: Methodology Journal of Applied Statistics. 26: 855-869. DOI: 10.1080/02664769922098 |
0.331 |
|
| 1998 |
Wang P, Puterman ML. Mixed logistic regression models Journal of Agricultural Biological and Environmental Statistics. 3: 175-200. DOI: 10.2307/1400650 |
0.316 |
|
| 1998 |
Haviv M, Puterman ML. Bias optimality in controlled queueing systems Journal of Applied Probability. 35: 136-150. DOI: 10.1239/Jap/1032192558 |
0.36 |
|
| 1998 |
Wang P, Cockburn IM, Puterman ML. Analysis of Patent Data—A Mixed-Poisson-Regression-Model Approach Journal of Business & Economic Statistics. 16: 27-41. DOI: 10.1080/07350015.1998.10524732 |
0.328 |
|
| 1996 |
Wang P, Puterman ML, Cockburn I, Le N. Mixed Poisson regression models with covariate dependent rates. Biometrics. 52: 381-400. DOI: 10.2307/2532881 |
0.318 |
|
| 1992 |
Leroux BG, Puterman ML. Maximum-penalized-likelihood estimation for independent and Markov- dependent mixture models Biometrics. 48: 545-558. PMID 1637977 DOI: 10.2307/2532308 |
0.317 |
|
| 1991 |
Haviv M, Puterman ML. An improved algorithm for solving communicating average reward Markov decision processes Annals of Operations Research. 28: 229-242. DOI: 10.1007/Bf02055583 |
0.327 |
|
| 1990 |
Puterman ML, Schumacher P, Sandor GGS. Optimal choice of prognostic variables with an application to cardiac monitoring using M-mode echocardiography. Statistics in Medicine. 9: 273-286. PMID 2188326 DOI: 10.1002/Sim.4780090310 |
0.318 |
|
| 1989 |
Chanson ST, Puterman ML, Wong WCM. A Markov Decision Process Model For Computer System Load Control Infor. 27: 387-402. DOI: 10.1080/03155986.1989.11732104 |
0.357 |
|
| 1987 |
Hordijk A, Puterman M. On the convergence of policy iteration in finite state undiscounted Markov decision processes: the unichain case Mathematics of Operations Research. 12: 163-176. DOI: 10.1287/Moor.12.1.163 |
0.384 |
|
| 1985 |
Puterman ML, Schouten FAVdD. Markov Decision Processes With Continuous Time Parameter. Journal of the American Statistical Association. 80: 491. DOI: 10.2307/2287942 |
0.311 |
|
| 1985 |
Schweitzer PJ, Puterman ML, Kindle KW. Iterative Aggregation-Disaggregation Procedures for Discounted Semi-Markov Reward Processes Operations Research. 33: 589-605. DOI: 10.1287/Opre.33.3.589 |
0.323 |
|
| 1983 |
Nunen JAEEv, Puterman ML. Computing Optimal Control Limits for GI/M/S Queuing Systems with Controlled Arrivals Management Science. 29: 725-734. DOI: 10.1287/Mnsc.29.6.725 |
0.32 |
|
| 1982 |
Puterman ML, Shin MC. Action Elimination Procedures for Modified Policy Iteration Algorithms Operations Research. 30: 301-318. DOI: 10.1287/Opre.30.2.301 |
0.313 |
|
| 1981 |
Puterman ML. On the convergence of policy iteration for controlled diffusions Journal of Optimization Theory and Applications. 33: 137-144. DOI: 10.1007/Bf00935182 |
0.313 |
|
| 1979 |
Puterman ML, Brumelle SL. On the Convergence of Policy Iteration in Stationary Dynamic Programming Mathematics of Operations Research. 4: 60-69. DOI: 10.1287/Moor.4.1.60 |
0.352 |
|
| 1978 |
Puterman ML, Shin MC. Modified Policy Iteration Algorithms for Discounted Markov Decision Problems Management Science. 24: 1127-1137. DOI: 10.1287/Mnsc.24.11.1127 |
0.345 |
|
| 1978 |
Everitt RR, Sonntag NC, Puterman ML, Whalen P. A Mathematical Programming Model for the Management of a Renewable Resource System: The Kemano II Development Project Wsq: Women's Studies Quarterly. 35: 235-246. DOI: 10.1139/F78-038 |
0.307 |
|
| 1978 |
Puterman ML. The convergence of policy iteration in contracting dynamic programming Advances in Applied Probability. 10: 312-312. DOI: 10.1017/S0001867800030317 |
0.3 |
|
| 1977 |
Puterman ML. Optimal control of diffusion processes with reflection Journal of Optimization Theory and Applications. 22: 103-116. DOI: 10.1007/Bf00936724 |
0.315 |
|
| 1974 |
Puterman ML. Sensitive Discount Optimality in Controlled One-Dimensional Diffusions Annals of Probability. 2: 408-419. DOI: 10.1214/Aop/1176996656 |
0.354 |
|
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