STUDIU EXPLORATORIU CU PRIVIRE LA CORELATIA SI REGRESIA DINTRE NUMARUL DE ARTICOLE PUBLICATE IN WEB OF SCIENCE, SCOPUS SI GOOGLE ACADEMIC

Autor/autori: 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 Hirsh, analiza citarilor, acces deschis, Google Academic, Web of Science, Scopus.

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 index, citation analysis, open access, Google Scholar, Web of Science, Scopus

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