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Collection and Analysis of Cartel Statistics when Quoting in Web of Science

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dc.contributor.authorZharova, Y.
dc.contributor.authorPrikhodchenko, V.
dc.date.accessioned2024-11-29T15:27:36Z
dc.date.available2024-11-29T15:27:36Z
dc.date.issued2021
dc.description.abstract© 2021 IEEE.This article is devoted to the analysis of statistics on quantitative characteristics of anticompetitive agreements based on citing in Russia for 2016, 2018, and 2020, detected using a program developed for this purpose-based site parsing and oriented graph construction technologies. Trends in changes in the shares of cartels and authors who resort to this type of manipulation on the Web of Science were identified and generalized. Data for the analysis were taken from 5 categories with the highest number of published scientific papers in 2016-2018.
dc.format.extentС. 767-772
dc.identifier.citationZharova, Y. Collection and Analysis of Cartel Statistics when Quoting in Web of Science / Zharova, Y., Prikhodchenko, V. // Proceedings of the 2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2021. - 2021. - P. 767-772. - 10.1109/ElConRus51938.2021.9396628
dc.identifier.doi10.1109/ElConRus51938.2021.9396628
dc.identifier.urihttps://www.doi.org/10.1109/ElConRus51938.2021.9396628
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85104707352&origin=resultslist
dc.identifier.urihttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000669709800172
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/24029
dc.relation.ispartofProceedings of the 2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2021
dc.titleCollection and Analysis of Cartel Statistics when Quoting in Web of Science
dc.typeConference Paper
dspace.entity.typePublication
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relation.isOrgUnitOfPublication.latestForDiscovery010157d0-1f75-46b2-ab5b-712e3424b4f5
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