Decoding the Narrative: Patterns and Dynamics in Monkeypox Scholarly Publications

This study conducts a bibliometric analysis of monkeypox research to uncover trends, influential publishers, and key research topics. A dataset of Google Scholar-indexed articles was analyzed using bibliometric methods and tools such as Publish or Perish (PoP), VOSviewer, and Bibliometrix. The study reveals a growing research interest in monkeypox, with a notable increase in publications over the past decade. The Wiley Online Library emerged as the leading publisher, while highly cited articles covered various aspects of the disease. Cluster analysis identified key research topics, including clinical features, zoonotic transmission, and outbreak patterns. Network visualization and bigram analysis showcased relationships between authors, keywords, and publishers, with "monkeypox" being the most frequent keyword. By visualizing topic trends over time, the study identified emerging areas of investigation. The findings contribute to a comprehensive understanding of monkeypox research, aiding in identifying research gaps and guiding future studies. This research highlights the relevance of bibliometric analysis in health and information sciences. By uncovering trends, influential publishers, and key topics in monkeypox research, this study informs prevention, vaccination, and treatment strategies for mitigating the impact of monkeypox on public health.

@article{Zuhanda2024,
  title     = {Decoding the Narrative: Patterns and Dynamics in Monkeypox Scholarly Publications},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {15},
  number    = {1},
  year      = {2024},
  publisher = {The Science and Information Organization},
  author    = {Muhammad Khahfi Zuhanda and Desniarti and Anil Hakim Syofra and Andre Hasudungan Lubis and Prana Ugiana Gio and Habib Satria and Rahmad Syah},
  doi       = {10.14569/IJACSA.2024.0150165},
  url       = {https://doi.org/10.14569/IJACSA.2024.0150165}
}