Prof. dr. ing., dr. marketing Angela REPANOVICI
Rezumat
Desi este recunoscut ca prin accesul deschis la informatia stiintifica impactul cercetarilor creste, sunt putine
studii in literatura de specialitate care sa demonstreze acest lucru. Articolul reprezinta un studiu exploratoriu despre regresia
si corelatia impactului si vizibilitatii articolelor publicate in Web of Science, Scopus si Google Academic. Baza de date cu
profesorii de top ai universitatii „Transilvania“ se realizeaza utilizand Scival, instrument scientometric oferit de Scopus. S-au
identificat profesorii de top si principalele competente. S-a construit baza de date cu cei 85 profesori identificati, numarul de
articole publicate si indexul Hirsh calculat in Scopus. Date similare s-au cules investigand Web of Science si Google
Academic, unde s-a calculat indexul Hirsh folosind Publish&Perish. Folosind statistica descriptiva, ANOVA si histogramele
am analizat cele trei siruri de date. Se demonstreaza o corelatie puternica intre numarul articolelor indexate in Google
Academic si numarul articolelor indexate in Web of Science. S-au determinat coeficientii de corelatie si reprezentat dreptele
de regresie. Se demonstreaza ceea ce literatura de specialitate doar a anticipat: accesul deschis la informatie creste
impactul cercetarilor si numarul articolelor indexate in celelalte baze de date scientometrice.
Cuvinte cheie: indexul Hirshanaliza citariloracces deschisGoogle AcademicWeb of ScienceScopus.
Abstract
Although many authors believe that their work has a greater research impact if it is freely available, studies
demonstrate that impacts are few. This article is an exploratory study about correlation and regression between ISI Web of
Science, Scopus and Google Scholar articles impact and visibility. We started with research evaluation tools, like Scival. We
identified the top authors of the „Transilvania“ University of Bra?ov and the principal research competencies. We obtained
data strings regarding the activity of these 85 top professors, number of citations, data strings related to the number of
indexed articles and Hirsch index calculated in Scopus. Similarly we retrieved data for the same professors using the
scientometric database ISI Web of Science. We found sets of data for the same professors using the software 'Publish or
Perish', which is indexing Google Scholar. We statistically analyzed the three data sets using Data Analysis from Excel 2007,
namely descriptive statistics ANOVA and histograms. A strong correlation between the existing open access articles and
indexed in Google Scholar and the number of articles in ISI Web of Science database is demonstrated. We determine the
coefficients of regression equation, considering linear regression. We demonstrate what the dedicated literature just
anticipates: open access increases the research impact and the number of indexed articles in the other scientometric
databases also increases.
Keywords: Hirsch indexcitation analysisopen accessGoogle ScholarWeb of ScienceScopus
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