<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2d1 20170631//EN" "JATS-journalpublishing1.dtd">
<ArticleSet>
  <Article>
    <Journal>
      <PublisherName>developer</PublisherName>
      <JournalTitle>International journal of Information Technology</JournalTitle>
      <PISSN/>
      <EISSN>n</EISSN>
      <Volume-Issue>Vol. 23 Issue 18</Volume-Issue>
      <PartNumber/>
      <IssueTopic>Multidisciplinary</IssueTopic>
      <IssueLanguage>English</IssueLanguage>
      <Season>Nov 2020</Season>
      <SpecialIssue>N</SpecialIssue>
      <SupplementaryIssue>N</SupplementaryIssue>
      <IssueOA>Y</IssueOA>
      <PubDate>
        <Year>2020</Year>
        <Month>03</Month>
        <Day>3</Day>
      </PubDate>
      <ArticleType>Research</ArticleType>
      <ArticleTitle>A BIBLIOMETRIC ANALYSIS AND VISUALISATION OF RESEARCH TRENDS IN COVID-19 AND ANTIVIRAL DRUGS</ArticleTitle>
      <SubTitle/>
      <ArticleLanguage>English</ArticleLanguage>
      <ArticleOA>Y</ArticleOA>
      <FirstPage>1</FirstPage>
      <LastPage>9</LastPage>
      <AuthorList>
        <Author>
          <FirstName>Vikas</FirstName>
          <LastName>Tyagi</LastName>
          <AuthorLanguage>English</AuthorLanguage>
          <Affiliation/>
          <CorrespondingAuthor>N</CorrespondingAuthor>
          <ORCID/>
        </Author>
      </AuthorList>
      <DOI>10.36295/ASRO.2020.23208</DOI>
      <Abstract>COVID19 is a pandemic caused by SARS COV2. Thus this bibliometric analysis of COVID and antiviral drugswas conducted to understand the active authors, organizations, journals, and countries involved . All articles related to precautions against COVID, published in 2020, from “Scopus” were analyzed using the VOS viewer to develop analysis tables and visualization maps. This article had set the objective to consolidate the literature regarding antiviral drugs against COVIDand also to find out the trends related to the same. By analyzing the results from the data by using VOS viewer and discussion in the above section, we conclude that the most active authors are from China. The most productive author isXu J having the highest average citations and Zhou F with the highest number of citations. Li Y is the most active author, having the highest number of co-authorship linkages and several publications in this domain. The most productive research organization engaged in the research of antiviral drugs against COVID is the Institute Of Clinical Medical Sciences, ChinaJapan Friendship Hospital as it has the highest number of citations and highest average citation. The highly active country in the research of antiviral drugs against COVIDis China with the highest number of citations and publications. However, the country with the highest number of average citations and co -authorship linkages is the USA.The Lancet is the most active journal with the co- highest citation, and average citation.</Abstract>
      <AbstractLanguage>English</AbstractLanguage>
      <Keywords>COVID, antiviral drugs, Bibliometric analysis, VOS viewer, Pandemic</Keywords>
      <URLs>
        <Abstract>https://developer.ubipayroll.com/ubijournal-v1copy/journals/abstract.php?article_id=9479&amp;title=A BIBLIOMETRIC ANALYSIS AND VISUALISATION OF RESEARCH TRENDS IN COVID-19 AND ANTIVIRAL DRUGS</Abstract>
      </URLs>
      <References>
        <ReferencesarticleTitle>References</ReferencesarticleTitle>
        <ReferencesfirstPage>16</ReferencesfirstPage>
        <ReferenceslastPage>19</ReferenceslastPage>
        <References>1. Gao, J. et al. (2020) ‘The primary total knee arthroplasty?: a global analysis ’. Journal of Orthopaedic Surgery and Research, 5, pp. 1–12. &#13;
&#13;
2. Garrigos-simon, F. J. and Botella-carrubi, M. D. (2018) ‘Social Capital , Human Capital , and Sustainability?: A Bibliometric and Visualization Analysis’. doi: 10.3390/su10124751. &#13;
&#13;
3. Heshmati, B. and Hashempour, L. (2020) ‘Global Research Trends of Public Libraries from 1968 to 2017?: A Bibliometric and Visualization Analysis’, 17(1), pp. 0–2. &#13;
&#13;
4. Heymann, D. L. et al. (2020) ‘COVID-19: what is next for public health?’, LANCET, 395(10224), pp. 542–545. doi: 10.1016/S0140-6736(20)30374-3.&#13;
&#13;
5. Hong, T. et al. (2019) ‘Bibliometric analysis of research on the trends in autophagy’, pp. 1–15. doi: 10.7717/peerj.7103. &#13;
&#13;
6. Ivanov, D. et al. (2020) ‘Researchers ’ perspectives on Industry 4 . 0?: multi- disciplinary analysis and opportunities for operations management ABSTRACT’, International Journal of Production Research. Taylor and; Francis, 0(0), pp. 1–24. doi: 10.1080/00207543.2020.1798035. &#13;
&#13;
7. Kobayashi, T. et al. (2020) ‘Communicating the Risk of Death from Novel Coronavirus Disease (COVID-19)’, JOURNAL OF CLINICAL MEDICINE, 9(2). doi: 10.3390/jcm9020580. &#13;
&#13;
8. Li, Y. et al. (2019) ‘Studies in Informatics and Control?: A Bibliometric Analysis from 2008 to 2019’, 14(December), pp. 633–652. &#13;
&#13;
9. Mas-tur, A. and Guijarro, M. (2019) ‘The Influence of the Circular Economy?: Exploring the Knowledge Base’. &#13;
&#13;
10. Soosaraei, M. et al. (2018) ‘A decade bibliometric analysis of global research on leishmaniasis in Web of Science database’, Annals of Medicine and Surgery. Elsevier, 26(July 2017), pp. 30–37. doi: 10.1016/j.amsu.2017.12.014. &#13;
&#13;
11. Wang, X., Xu, Z. and and;Scaron;kare, M. (2020) ‘A bibliometric analysis of Economic Research- Ekonomska Istraživanja ( 2007 – 2019 ) A bibliometric analysis of Economic Research-Ekonomska’, Economic Research-Ekonomska Istraživanja. Routledge, 33(1), pp. 865–886. doi: 10.1080/1331677X.2020.1737558.&#13;
&#13;
12. Winkowski, C. (2019) ‘Classification of forecasting methods in production engineering’, 11(4). doi: 10.2478/emj-2019-0030.</References>
      </References>
    </Journal>
  </Article>
</ArticleSet>