The rise of artificial intelligence and machine learning in urology: a bibliometric analysis of publication trends, collaborative networks and emerging themes

Sami Sekkeli, Oguzhan Yildiz

Open source

DOI: 10.1007/s00345-026-06910-3
Published: 2026-11-03
Container: World Journal of Urology
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s00345-026-06910-3,
  title = {The rise of artificial intelligence and machine learning in urology: a bibliometric analysis of publication trends, collaborative networks and emerging themes},
  author = {Sami Sekkeli and Oguzhan Yildiz},
  year = {2026},
  journal = {World Journal of Urology},
  doi = {10.1007/s00345-026-06910-3},
  url = {https://doi.org/10.1007/s00345-026-06910-3}
}

RIS

TY  - JOUR
TI  - The rise of artificial intelligence and machine learning in urology: a bibliometric analysis of publication trends, collaborative networks and emerging themes
AU  - Sami Sekkeli
AU  - Oguzhan Yildiz
PY  - 2026
JO  - World Journal of Urology
DO  - 10.1007/s00345-026-06910-3
UR  - https://doi.org/10.1007/s00345-026-06910-3
ER  -

APA

Sekkeli, S., & Yildiz, O. (2026). The rise of artificial intelligence and machine learning in urology: a bibliometric analysis of publication trends, collaborative networks and emerging themes. World Journal of Urology. https://doi.org/10.1007/s00345-026-06910-3

Source records

crossref · retrieved 2026-11-07T16:43:04.135Z