AI-Assisted Bibliometric Analysis of LWFA Research: Trends and Future Directions

Mehdi Abedi-Varaki, Gediminas Račiukaitis

Open source

DOI: 10.3390/app16052335
Published: 02
Container: Applied Sciences
Publisher: Not recorded
Open access: yes

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uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

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Cite this work

BibTeX

@article{allodium:10.3390/app16052335,
  title = {AI-Assisted Bibliometric Analysis of LWFA Research: Trends and Future Directions},
  author = {Mehdi Abedi-Varaki and Gediminas Račiukaitis},
  year = {2026},
  journal = {Applied Sciences},
  doi = {10.3390/app16052335},
  url = {https://doi.org/10.3390/app16052335}
}

RIS

TY  - JOUR
TI  - AI-Assisted Bibliometric Analysis of LWFA Research: Trends and Future Directions
AU  - Mehdi Abedi-Varaki
AU  - Gediminas Račiukaitis
PY  - 2026
JO  - Applied Sciences
DO  - 10.3390/app16052335
UR  - https://doi.org/10.3390/app16052335
ER  -

APA

Abedi-Varaki, M., & Račiukaitis, G. (2026). AI-Assisted Bibliometric Analysis of LWFA Research: Trends and Future Directions. Applied Sciences. https://doi.org/10.3390/app16052335

Source records

doaj · retrieved 2026-09-25T16:21:12.265Z