Underlying Data on Artificial Intelligence in Aquaculture: Integrating Bibliometric Analysis and Science Mapping to Uncover Two Decades of Scientific Evolution and Future Research Agendas
Abstract
This repository provides the underlying Scopus bibliographic dataset supporting the bibliometric and science mapping analyses presented in the associated manuscript. The dataset is supplied in Comma-Separated Values (.csv) format and contains the bibliographic metadata used throughout the study.
Fields of Study & Subjects
Water Quality Monitoring Technologies
Genetics
Bioinformatics
and Biomedical Research
Artificial Intelligence in Healthcare and Education
Publication details
- Publication date
- 29 June 2026
- Document type
- Preprint