Näytä suppeat kuvailutiedot

dc.contributor.authorShukla, Amit K.
dc.contributor.authorSeth, Taniya
dc.contributor.authorMuhuri, Pranab, K.
dc.date.accessioned2023-04-19T11:11:35Z
dc.date.available2023-04-19T11:11:35Z
dc.date.issued2023
dc.identifier.citationShukla, A. K., Seth, T., & Muhuri, P. (2023). Artificial intelligence centric scientific research on COVID-19 : an analysis based on scientometrics data. <i>Multimedia Tools and Applications</i>, <i>82</i>(21), 32755-32787. <a href="https://doi.org/10.1007/s11042-023-14642-4" target="_blank">https://doi.org/10.1007/s11042-023-14642-4</a>
dc.identifier.otherCONVID_182755080
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/86443
dc.description.abstractWith the spread of the deadly coronavirus disease throughout the geographies of the globe, expertise from every field has been sought to fight the impact of the virus. The use of Artificial Intelligence (AI), especially, has been the center of attention due to its capability to produce trustworthy results in a reasonable time. As a result, AI centric based research on coronavirus (or COVID-19) has been receiving growing attention from different domains ranging from medicine, virology, and psychiatry etc. We present this comprehensive study that closely monitors the impact of the pandemic on global research activities related exclusively to AI. In this article, we produce highly informative insights pertaining to publications, such as the best articles, research areas, most productive and influential journals, authors, and institutions. Studies are made on top 50 most cited articles to identify the most influential AI subcategories. We also study the outcome of research from different geographic areas while identifying the research collaborations that have had an impact. This study also compares the outcome of research from the different countries around the globe and produces insights on the same.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofseriesMultimedia Tools and Applications
dc.rightsCC BY 4.0
dc.subject.otherartificial intelligence
dc.subject.otherbibliometric analysis
dc.subject.othercomputer science research
dc.subject.othercoronavirus research
dc.subject.otherCOVID-19
dc.subject.otherpublications
dc.subject.otherresearch analysis
dc.titleArtificial intelligence centric scientific research on COVID-19 : an analysis based on scientometrics data
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202304192562
dc.contributor.laitosInformaatioteknologian tiedekuntafi
dc.contributor.laitosFaculty of Information Technologyen
dc.contributor.oppiaineLaskennallinen tiedefi
dc.contributor.oppiaineComputing, Information Technology and Mathematicsfi
dc.contributor.oppiaineComputational Scienceen
dc.contributor.oppiaineComputing, Information Technology and Mathematicsen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.format.pagerange32755-32787
dc.relation.issn1380-7501
dc.relation.numberinseries21
dc.relation.volume82
dc.type.versionpublishedVersion
dc.rights.copyright© The Author(s) 2023
dc.rights.accesslevelopenAccessfi
dc.subject.ysobibliometriikka
dc.subject.ysoskientometriikka
dc.subject.ysotieteellinen julkaisutoiminta
dc.subject.ysoCOVID-19
dc.subject.ysokoronavirukset
dc.subject.ysotekoäly
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p6597
jyx.subject.urihttp://www.yso.fi/onto/yso/p24772
jyx.subject.urihttp://www.yso.fi/onto/yso/p10480
jyx.subject.urihttp://www.yso.fi/onto/yso/p38829
jyx.subject.urihttp://www.yso.fi/onto/yso/p29062
jyx.subject.urihttp://www.yso.fi/onto/yso/p2616
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.1007/s11042-023-14642-4
jyx.fundinginformationOpen Access funding provided by University of Jyväskylä (JYU).
dc.type.okmA1


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