| Forecasting and planning during a pandemic: COVID-19 growth rates, supply chain disruptions, and governmental decisions K Nikolopoulos, S Punia, A Schäfers, C Tsinopoulos, C Vasilakis European journal of operational research 290 (1), 99-115, 2021 | 499 | 2021 |
| Deep learning with long short-term memory networks and random forests for demand forecasting in multi-channel retail S Punia, K Nikolopoulos, SP Singh, JK Madaan, K Litsiou International journal of production research 58 (16), 4964-4979, 2020 | 119 | 2020 |
| Forecasting container throughput with long short-term memory networks S Shankar, PV Ilavarasan, S Punia, SP Singh Industrial management & data systems 120 (3), 425-441, 2020 | 58 | 2020 |
| A Cross-temporal hierarchical framework and deep learning for supply chain forecasting S Punia, SP Singh, JK Madaan Computers and Industrial Engineering, 2020 | 53 | 2020 |
| From predictive to prescriptive analytics: A data-driven multi-item newsvendor model S Punia, SP Singh, JK Madaan Decision Support Systems 136, 113340, 2020 | 48 | 2020 |
| Predictive analytics for demand forecasting: A deep learning-based decision support system S Punia, S Shankar Knowledge-Based Systems 258, 109956, 2022 | 31 | 2022 |
| Content analysis of literature on big data in smart cities P Tiwari, PV Ilavarasan, S Punia Benchmarking: An International Journal 28 (5), 1837-1857, 2019 | 26 | 2019 |
| Deep learning-based container throughput forecasting: A triple bottom line approach S Shankar, S Punia, PV Ilavarasan Industrial Management & Data Systems 121 (10), 2100-2117, 2021 | 15 | 2021 |
| Sch€ afers, A., Tsinopoulos, C. and Vasilakis, C.(2021),“Forecasting and planning during a pandemic: COVID-19 growth rates, supply chain disruptions, and governmental decisions” K Nikolopoulos, S Punia European Journal of Operational Research 290 (1), 99-115, 0 | 9 | |
| Hierarchical container throughput forecasting: The value of coherent forecasts in the management of ports operations K Sanguri, S Shankar, S Punia, S Patra Computers & Industrial Engineering 173, 108651, 2022 | 7 | 2022 |
| Forecast reconciliation in the temporal hierarchy: Special case of intermittent demand with obsolescence K Sanguri, S Patra, S Punia Expert Systems with Applications 218, 119566, 2023 | 3 | 2023 |
