Determinants of the Impact Factor of Publications: A Panel Model for Journals Indexed in Scopus 2017

Jenny Paola Lis-Gutiérrez*, Carolina Henao, Alvaro Zerdá, Mercedes Gaitán, Juan C Correa, Amelec Viloria

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)


This article has the purpose of establishing which are the variables that allow explaining the behavior of the SJR between 2014 and 2016, for the journals indexed in Scopus. To do this, journals that had a SJR value greater than eight in 2016 were selected, that is, 103 of the 22,231. For the analysis, a model of standard errors corrected for panel was used, for which a coefficient of determination of 81% was obtained, and a model of feasible generalized least squares. From these it was possible to establish that variables such as open access, the number of areas in which the publication is registered and the language of publication, are not significant to explain the impact of a publication. On the contrary, variables such as belonging to health sciences or social sciences.
Original languageEnglish
Title of host publicationData Mining and Big Data - 3rd International Conference, DMBD 2018, Proceedings
Subtitle of host publicationThird International Conference, DMBD 2018
EditorsYuhui Shi, Qirong Tang, Ying Tan
PublisherSpringer Nature
Number of pages9
ISBN (Electronic)978-3-319-93803-5
ISBN (Print)978-3-319-93802-8
Publication statusPublished - 2018
Externally publishedYes

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10943 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Bibliographical note

Publisher Copyright:
© Springer International Publishing AG, part of Springer Nature 2018.


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