(18.218.252.81)
Users online: 3330     
Ijournet
Email id
 

Pearl : A Journal of Library and Information Science
Year : 2020, Volume : 14, Issue : 3
First page : ( 269) Last page : ( 280)
Print ISSN : 0973-7081. Online ISSN : 0975-6922.
Article DOI : 10.5958/0975-6922.2020.00033.9

Bibliometric analysis of the 100 most cited papers in covid-19

Sahoo Sidhartha1,*, Pandey Shriram2,**

1Scientific Officer, Indian National Centre for Ocean Information Services (INCOIS), Ministry of Earth Sciences, Hyderabad-500090, Telangana, India

2Assistant Professor, Department of Library and Information Science, Banaras Hindu University, Varanasi, Uttar Pradesh, India

*(Corresponding author) email id: sidhartha@incois.gov.in

**ram.mlib@gmail.com

Online published on 20 November, 2020.

Abstract

In this study we have considered the top 100 research papers on Covid-19 published across the globe based on their citations data during January-June 2020. Further analysis made to identify the countries of origin, journal wise distribution, co-author cluster, keyword analysis and co-citation map to understand and to establish the links among them. The result revealed that the most publishing author Zhang I (7) has link strength of 96 received 2657 citations whereas Wang y has published 6 papers but his link strength of 100 is highest in the network. The top 5 authors with the maximum contribution and largest total link strength were Zhang I (TP=7, TC=2657, TLS=96), Wang W(TP=7, TC=2490, TLS=77), Drosten C(TP=6, TC=1477, TLS=96), Wang y (TP=6, TC=2039, TLS=100) and Liu y (TP=5, TC=2495, TLS=72. It has been also found that association between the keywords in 2,3 & 4 clusters compared with the cluster-1 depicting the origin and nature of the epidemic and humans are the most affected by Covid-19 disease. Study revealed that China has contributed maximum publications (65) followed by USA (25) and UK (13) and scientific publications originating from China have received highest citations (21542).

Top

Keywords

Bibliographic coupling, Citation pattern, Coronavirus disease, COVID-19, Epidemic.

Top

  
║ Site map ║ Privacy Policy ║ Copyright ║ Terms & Conditions ║ Page Rank Tool
749,170,922 visitor(s) since 30th May, 2005.
All rights reserved. Site designed and maintained by DIVA ENTERPRISES PVT. LTD..
Note: Please use Internet Explorer (6.0 or above). Some functionalities may not work in other browsers.