@article{3656,
  author = {Ashish Kumar Ahirwal, Suresh Balutagi},
  title = {Visual Analysis of Pandemic Disease literature in Global Health perspective: A Scientometric study},
  journal = {Journal of Science and Technology Metrics},
  year = {2022},
  volume = {3},
  number = {3},
  doi = {https://doi.org/10.6025/stm/2022/3/3//68-79},
  url = {https://www.dline.info/jstm/fulltext/v3n3/jstmv3n3_3.pdf},
  abstract = {The current study focused on the last two decades’ research articles related to Pandemic Diseases (PDs). The extensive citation database, Web of Science (WoS), is used to obtain bibliographic data from 2000 to 2019. We identified 7,089 publication records retrieved from the WoS database for this present study. During the study, the growth in pandemicrelated literature has grown steadily from 2000 to 2011, and in another tenure, we found a fluctuation in the publications. The Pandemic Disease research focused on highly co-cited documents and their sourced journals. However, the most remarkable documents in Pandemic Disease research have originated from the USA, England, and People R China. In addition, PDs research also focuses on the WOS subject categories of Infectious Diseases; immunology and Virology are the most remarkable disciplines. Influenza, infection, and pandemic Influenza got the highest frequency, but in terms of citation bursts in Hong Kong, Human Immunodeficiency Virus and Seasonal Influenza are trending in recent years.},
}