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- W4387344192 abstract "This study conducts a comprehensive bibliometric analysis of AI in logistics using various methodologies and techniques. It identifies prominent documents, sources, authors, and countries, and explores sentiments, collaboration networks, and abstract clustering. The findings provide valuable insights for researchers and decision-makers, guiding future research and investment decisions. However, limitations exist, and the field is constantly evolving. This analysis contributes to the scholarly community and offers a foundation for future research in AI logistics." @default.
- W4387344192 created "2023-10-05" @default.
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- W4387344192 date "2023-10-04" @default.
- W4387344192 modified "2023-10-16" @default.
- W4387344192 title "Bibliometric Analysis for Artificial Intelligence in Logistics" @default.
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- W4387344192 doi "https://doi.org/10.4018/979-8-3693-0225-5.ch001" @default.
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