| Joint optimization of customer location clustering and drone-based routing for last-mile deliveries M Salama, S Srinivas Transportation Research Part C: Emerging Technologies 114, 620-642, 2020 | 177 | 2020 |
| Air taxi service for urban mobility: A critical review of recent developments, future challenges, and opportunities S Rajendran, S Srinivas Transportation research part E: logistics and transportation review 143, 102090, 2020 | 150 | 2020 |
| Optimizing outpatient appointment system using machine learning algorithms and scheduling rules: A prescriptive analytics framework S Srinivas, AR Ravindran Expert Systems with Applications 102, 245-261, 2018 | 130 | 2018 |
| Modeling the impact of employee engagement and happiness on burnout and turnover intention among blue-collar workers at a manufacturing company N Santhanam, S Srinivas Benchmarking: An International Journal 27 (2), 499-516, 2019 | 121 | 2019 |
| Collaborative truck multi-drone routing and scheduling problem: Package delivery with flexible launch and recovery sites MR Salama, S Srinivas Transportation Research Part E: Logistics and Transportation Review 164, 102788, 2022 | 74 | 2022 |
| Topic-based knowledge mining of online student reviews for strategic planning in universities S Srinivas, S Rajendran Computers & Industrial Engineering 128, 974-984, 2019 | 71 | 2019 |
| Predicting demand for air taxi urban aviation services using machine learning algorithms S Rajendran, S Srinivas, T Grimshaw Journal of Air Transport Management 92, 102043, 2021 | 56 | 2021 |
| A simulation-based evaluation of warehouse check-in strategies for improving inbound logistics operations D Smith, S Srinivas Simulation Modelling Practice and Theory 94, 303-320, 2019 | 52 | 2019 |
| Autonomous robot-driven deliveries: A review of recent developments and future directions S Srinivas, S Ramachandiran, S Rajendran Transportation research part E: logistics and transportation review 165, 102834, 2022 | 47 | 2022 |
| Community detection and influential node identification in complex networks using mathematical programming S Srinivas, C Rajendran Expert Systems with Applications 135, 296-312, 2019 | 40 | 2019 |
| Consultation length and no-show prediction for improving appointment scheduling efficiency at a cardiology clinic: a data analytics approach S Srinivas, H Salah International Journal of Medical Informatics 145, 104290, 2021 | 38 | 2021 |
| A machine learning-based approach for predicting patient punctuality in ambulatory care centers S Srinivas International Journal of Environmental Research and Public Health 17 (10), 3703, 2020 | 36 | 2020 |
| Improving campus dining operations using capacity and queue management: A simulation-based case study A Kambli, AA Sinha, S Srinivas Journal of Hospitality and Tourism Management 43, 62-70, 2020 | 34 | 2020 |
| Hybrid ordering policies for platelet inventory management under demand uncertainty S Rajendran, S Srinivas IISE Transactions on Healthcare Systems Engineering 10 (2), 113-126, 2020 | 33 | 2020 |
| Modeling and analysis of business process reengineering strategies for improving emergency department efficiency S Srinivas, RP Nazareth, M Shoriat Ullah Simulation 97 (1), 3-18, 2021 | 31 | 2021 |
| Designing schedule configuration of a hybrid appointment system for a two-stage outpatient clinic with multiple servers S Srinivas, AR Ravindran Health care management science 23, 360-386, 2020 | 30 | 2020 |
| The AMEDD uses goal programming to optimize workforce planning decisions ND Bastian, P McMurry, LV Fulton, PM Griffin, S Cui, T Hanson, S Srinivas Interfaces 45 (4), 305-324, 2015 | 30 | 2015 |
| Adaptive neighborhood simulated annealing for sustainability-oriented single machine scheduling with deterioration effect M Salama, S Srinivas Applied Soft Computing 110, 107632, 2021 | 23 | 2021 |
| Collaborative order picking with multiple pickers and robots: Integrated approach for order batching, sequencing and picker-robot routing S Srinivas, S Yu International Journal of Production Economics 254, 108634, 2022 | 22 | 2022 |
| Predict, then schedule: Prescriptive analytics approach for machine learning-enabled sequential clinical scheduling H Salah, S Srinivas Computers & Industrial Engineering 169, 108270, 2022 | 17 | 2022 |
Suchithra RajendranAssistant Professor, University of MissouriVerified email at missouri.edu
