| A multiperiod set covering location model for dynamic redeployment of ambulances HK Rajagopalan, C Saydam, J Xiao Computers & Operations Research 35 (3), 814-826, 2008 | 430 | 2008 |
| An optimization approach for ambulance location and the districting of the response segments on highways AP Iannoni, R Morabito, C Saydam European Journal of Operational Research 195 (2), 528-542, 2009 | 166 | 2009 |
| EMS call volume predictions: A comparative study H Setzler, C Saydam, S Park Computers & Operations Research 36 (6), 1843-1851, 2009 | 157 | 2009 |
| Solving large-scale maximum expected covering location problems by genetic algorithms: A comparative study H Aytug, C Saydam European Journal of Operational Research 141 (3), 480-494, 2002 | 136 | 2002 |
| A hypercube queueing model embedded into a genetic algorithm for ambulance deployment on highways AP Iannoni, R Morabito, C Saydam Annals of Operations Research 157, 207-224, 2008 | 95 | 2008 |
| Accurate estimation of expected coverage: revisited C Saydam, H Aytuğ Socio-Economic Planning Sciences 37 (1), 69-80, 2003 | 81 | 2003 |
| Real-time ambulance redeployment approach to improve service coverage with fair and restricted workload for EMS providers S Enayati, ME Mayorga, HK Rajagopalan, C Saydam Omega 79, 67-80, 2018 | 80 | 2018 |
| Coverage, survivability or response time: A comparative study of performance statistics used in ambulance location models via simulation–optimization MA Zaffar, HK Rajagopalan, C Saydam, M Mayorga, E Sharer Operations research for health care 11, 1-12, 2016 | 61 | 2016 |
| A minimum expected response model: Formulation, heuristic solution, and application HK Rajagopalan, C Saydam Socio-Economic Planning Sciences 43 (4), 253-262, 2009 | 59 | 2009 |
| Developing effective meta-heuristics for a probabilistic location model via experimental design HK Rajagopalan, FE Vergara, C Saydam, J Xiao European journal of operational research 177 (1), 83-101, 2007 | 59 | 2007 |
| Optimizing large-scale emergency medical system operations on highways using the hypercube queuing model AP Iannoni, R Morabito, C Saydam Socio-Economic Planning Sciences 45 (3), 105-117, 2011 | 56 | 2011 |
| Reducing disparities in large-scale emergency medical service systems H Toro-Díaz, ME Mayorga, LA McLay, HK Rajagopalan, C Saydam Journal of the Operational Research Society 66 (7), 1169-1181, 2015 | 54 | 2015 |
| Applications and implementation a separable programming approach to expected coverage: An application to ambulance location C Saydam, M McKnew Decision Sciences 16 (4), 381-398, 1985 | 52 | 1985 |
| Software diversity for improved network security: optimal distribution of software-based shared vulnerabilities O Temizkan, S Park, C Saydam Information Systems Research 28 (4), 828-849, 2017 | 47 | 2017 |
| The dynamic redeployment coverage location model C Saydam, HK Rajagopalan, E Sharer, K Lawrimore-Belanger Health Systems 2 (2), 103-119, 2013 | 42 | 2013 |
| An efficient zero‐one formulation of the multilevel lot‐sizing problem MA McKnew, C Saydam, BJ Coleman Decision Sciences 22 (2), 280-295, 1991 | 41 | 1991 |
| Joint replenishment problem under continuous unit cost change M Khouja*, S Park, C Saydam International Journal of Production Research 43 (2), 311-326, 2005 | 40 | 2005 |
| Accurate estimation of expected coverage: a comparative study C Saydam, J Repede, T Burwell Socio-Economic Planning Sciences 28 (2), 113-120, 1994 | 39 | 1994 |
| Ambulance redeployment and dispatching under uncertainty with personnel workload limitations S Enayati, OY Özaltın, ME Mayorga, C Saydam IISE Transactions 50 (9), 777-788, 2018 | 36 | 2018 |
| Ambulance deployment and shift scheduling: An integrated approach HK Rajagopalan, C Saydam, H Setzler, E Sharer Journal of Service Science and Management 4 (01), 66, 2011 | 34 | 2011 |
Hari RajagopalanSchool of Business Francis Marion UniversityEmail verificata su fmarion.edu
