| Service characteristics and customer satisfaction in the container liner shipping industry E Hirata The Asian Journal of Shipping and Logistics 35 (1), 24-29, 2019 | 87 | 2019 |
| Contestability of container liner shipping market in alliance era E Hirata The Asian Journal of Shipping and Logistics 33 (1), 27-32, 2017 | 72 | 2017 |
| Blockchain technology in supply chain management: insights from machine learning algorithms E Hirata, M Lambrou, D Watanabe Maritime Business Review 6 (2), 114-128, 2020 | 27 | 2020 |
| Rise, fall, and recovery of blockchains in the maritime technology space ZH Munim, O Duru, E Hirata Journal of Marine Science and Engineering 9 (3), 266, 2021 | 25 | 2021 |
| Uncovering the impact of COVID-19 on shipping and logistics E Hirata, T Matsuda Maritime Business Review 7 (4), 305-317, 2022 | 12 | 2022 |
| Shipping digitalization and automation for the smart port E Hirata, D Watanabe, M Lambrou, T Banyai, A Banyai, I Kaczmar Supply Chain-Recent Advances and New Perspectives in the Industry 4.0 Era, 2022 | 12 | 2022 |
| Real-time management of vessel carbon dioxide emissions based on automatic identification system database using deep learning Y Wang, D Watanabe, E Hirata, S Toriumi Journal of Marine Science and Engineering 9 (8), 871, 2021 | 11 | 2021 |
| Spatial analysis of an emission inventory from liquefied natural gas fleet based on automatic identification system database H Kim, D Watanabe, S Toriumi, E Hirata Sustainability 13 (3), 1250, 2021 | 11 | 2021 |
| Forecasting Shanghai Container Freight Index: A Deep-Learning-Based Model Experiment E Hirata, T Matsuda Journal of Marine Science and Engineering 10 (5), 593, 2022 | 9 | 2022 |
| Monopoly in the container shipping market: an econometric approach T Matsuda, E Hirata, T Kawasaki Maritime Business Review 7 (4), 318-331, 2022 | 8 | 2022 |
| Examining logistics developments in post-pandemic Japan through sentiment analysis of Twitter data E Hirata, T Matsuda Asian Transport Studies 9, 100110, 2023 | 7 | 2023 |
| An econophysics approach to forecast bulk shipbuilding orderbook: an application of Newton’s law of gravitation QMH Sakalayen, O Duru, E Hirata Maritime Business Review 6 (3), 234-255, 2021 | 5 | 2021 |
| A non-structural approach to assess competitive conditions in container liner shipping market: 2009-2014 E Hirata International Journal of Shipping and Transport Logistics 10 (5-6), 500-513, 2018 | 5 | 2018 |
| Service recovery and customer satisfaction in container liner shipping industry-an ordered logit approach E Hirata International Journal of Shipping and Transport Logistics 12 (6), 563-575, 2020 | 3 | 2020 |
| Liner shipping market contestability in alliance era E HIRATA, H MURAKAMI 海運経済研究= Journal of logistics and shipping economics/日本海運経済学会 …, 2015 | 3 | 2015 |
| e-Shipping ―外航海運業務の電子化 平田燕奈 海文堂出版株式会社 http://www.kaibundo.jp/2018/09/16414/, 2018 | 2 | 2018 |
| 海運物流分野におけるブロックチェーン技術活用の可能性 平田燕奈 海運経済研究 53, 61-70, 2019 | 1 | 2019 |
| Logistics Hub and Route Optimization in the Physical Internet Paradigm H Naganawa, E Hirata, N Firdausiyah, RG Thompson Logistics 8 (2), 37, 2024 | | 2024 |
| Identifying Key Issues in Integration of Autonomous Ships in Container Ports: A Machine-Learning-Based Systematic Literature Review E Hirata, AS Hansen Logistics 8 (1), 23, 2024 | | 2024 |
| Researcher Network Visualization Using Matrix Researcher2vec E Hirata, T Yamashita, S Ozawa Journal of Advanced Computational Intelligence and Intelligent Informatics …, 2023 | | 2023 |
Maria A. LambrouProfessor, Department of Shipping, Trade and Transport, University of the AegeanVerified email at aegean.gr
