Using generative artificial intelligence in bibliometric analysis: 10 years of research trends from the European Resuscitation Congresses

Nino Fijačko, Ruth Masterson Creber, Benjamin S. Abella, Primož Kocbek, Špela Metličar, Robert Greif, Gregor Štiglic

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DOI: 10.1016/j.resplu.2024.100584
Published: 2024-06
Container: Resuscitation Plus
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.resplu.2024.100584,
  title = {Using generative artificial intelligence in bibliometric analysis: 10 years of research trends from the European Resuscitation Congresses},
  author = {Nino Fijačko and Ruth Masterson Creber and Benjamin S. Abella and Primož Kocbek and Špela Metličar and Robert Greif and Gregor Štiglic},
  year = {2024},
  journal = {Resuscitation Plus},
  doi = {10.1016/j.resplu.2024.100584},
  url = {https://doi.org/10.1016/j.resplu.2024.100584}
}

RIS

TY  - JOUR
TI  - Using generative artificial intelligence in bibliometric analysis: 10 years of research trends from the European Resuscitation Congresses
AU  - Nino Fijačko
AU  - Ruth Masterson Creber
AU  - Benjamin S. Abella
AU  - Primož Kocbek
AU  - Špela Metličar
AU  - Robert Greif
AU  - Gregor Štiglic
PY  - 2024
JO  - Resuscitation Plus
DO  - 10.1016/j.resplu.2024.100584
UR  - https://doi.org/10.1016/j.resplu.2024.100584
ER  -

APA

Fijačko, N., Creber, R. M., Abella, B. S., Kocbek, P., Metličar, Š., Greif, R., & Štiglic, G. (2024). Using generative artificial intelligence in bibliometric analysis: 10 years of research trends from the European Resuscitation Congresses. Resuscitation Plus. https://doi.org/10.1016/j.resplu.2024.100584

Source records

crossref · retrieved 2026-09-26T00:18:53.482Z