Bibliometric analysis of the application of artificial intelligence techniques in bacteriology: a PRISMA-guided research agenda.

Velasco Cardona DC, Cardona-Acevedo S, Valencia-Arias A, Pérez-Delgado O, Pinella Vega M

DOI: 10.3389/fmicb.2025.1641967
Published: 2025
Container: Frontiers in microbiology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fmicb.2025.1641967,
  title = {Bibliometric analysis of the application of artificial intelligence techniques in bacteriology: a PRISMA-guided research agenda.},
  author = {Velasco Cardona DC and Cardona-Acevedo S and Valencia-Arias A and Pérez-Delgado O and Pinella Vega M},
  year = {2025},
  journal = {Frontiers in microbiology},
  doi = {10.3389/fmicb.2025.1641967},
  url = {https://doi.org/10.3389/fmicb.2025.1641967}
}

RIS

TY  - JOUR
TI  - Bibliometric analysis of the application of artificial intelligence techniques in bacteriology: a PRISMA-guided research agenda.
AU  - Velasco Cardona DC
AU  - Cardona-Acevedo S
AU  - Valencia-Arias A
AU  - Pérez-Delgado O
AU  - Pinella Vega M
PY  - 2025
JO  - Frontiers in microbiology
DO  - 10.3389/fmicb.2025.1641967
UR  - https://doi.org/10.3389/fmicb.2025.1641967
ER  -

APA

DC, V. C., S, C., A, V., O, P., & M, P. V. (2025). Bibliometric analysis of the application of artificial intelligence techniques in bacteriology: a PRISMA-guided research agenda.. Frontiers in microbiology. https://doi.org/10.3389/fmicb.2025.1641967

Source records

pubmed · retrieved 2026-09-25T00:21:28.341Z