Mapping the AI Landscape in Food Science and Engineering: A Bibliometric Analysis Enhanced with Interactive Digital Tools and Company Case Studies
- DOI
- 10.1007/s12393-025-09413-w
- Published
- 2025-07-01
- Container
- Food Engineering Reviews
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s12393-025-09413-w,
title = {Mapping the AI Landscape in Food Science and Engineering: A Bibliometric Analysis Enhanced with Interactive Digital Tools and Company Case Studies},
author = {Jordan Pennells and Peter Watkins and Alexander L. Bowler and Nicholas J. Watson and Kai Knoerzer},
year = {2025},
journal = {Food Engineering Reviews},
doi = {10.1007/s12393-025-09413-w},
url = {https://doi.org/10.1007/s12393-025-09413-w}
}RIS
TY - JOUR TI - Mapping the AI Landscape in Food Science and Engineering: A Bibliometric Analysis Enhanced with Interactive Digital Tools and Company Case Studies AU - Jordan Pennells AU - Peter Watkins AU - Alexander L. Bowler AU - Nicholas J. Watson AU - Kai Knoerzer PY - 2025 JO - Food Engineering Reviews DO - 10.1007/s12393-025-09413-w UR - https://doi.org/10.1007/s12393-025-09413-w ER -
APA
Pennells, J., Watkins, P., Bowler, A. L., Watson, N. J., & Knoerzer, K. (2025). Mapping the AI Landscape in Food Science and Engineering: A Bibliometric Analysis Enhanced with Interactive Digital Tools and Company Case Studies. Food Engineering Reviews. https://doi.org/10.1007/s12393-025-09413-w
Source records
- crossref · retrieved 2026-09-25T23:08:15.459Z