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Τίτλος: J2J-GR: Journal-to-Journal References by Greek Researchers
Συγγραφείς: Pispiringas, Leonidas
Dervos, Dimitris A.
Evangelidis, Georgios
Τύπος: Conference Paper
Θέματα: FRASCATI::Natural sciences::Computer and information sciences
Λέξεις-Κλειδιά: Bibliography metadata
Journal-to-journal references
Data visualization
Journal evaluation
Ημερομηνία Έκδοσης: 21-Οκτ-2019
Τόμος: 11815
Πρώτη Σελίδα: 83
Τελευταία Σελίδα: 95
Τίτλος Τόμου: Model and Data Engineering
Μέρος Σειράς: Lecture Notes in Computer Science
Μέρος Σειράς: Lecture Notes in Computer Science
Επιτομή: The Hellenic Academic Libraries Link (HEAL-Link, https://www.heal-link.gr/) operates since 1998. Its members include all the academic and/or research institutions operating under the auspices of the Hellenic Ministry of Education, plus the Academy of Athens, the National Library, and the Institute of Educational Policy. The present paper reports on the research effort undertaken in order to facilitate the decision-making process and the development of a HEAL-Link strategy plan. The focus is on scientific journals the Greek academic/research community publish their works with, and on the journals they reference. It is assumed that when a researcher makes a reference to an article in a scientific journal, the latter is considered to comprise a valuable source of information. The more references made to articles published with a given journal, the higher the value of the latter as a source of scientific information to the HEAL-Link user community. In order to exploit the aforementioned research goal, bibliographic metadata from nearly 63,000 research publications have been collected and pre-processed. The publications involve at least one (co-)author affiliated to a Greek academic/research institution. They span over a period of nine years (2010–2018), and nearly 10,000 journals. The bibliographic data include metadata on subject (discipline) area(s). The findings are made public via a Web application (http://j2j.heal-link.gr/). The latter utilizes interactive graphs that facilitate the interpretation of the relevant bibliography data, and it is seen to comprise a springboard for conducting further data analytic and mining tasks.
URI: https://doi.org/10.1007/978-3-030-32065-2_6
https://ruomo.lib.uom.gr/handle/7000/1173
ISBN: 978-3-030-32064-5
978-3-030-32065-2
ISSN: 0302-9743
1611-3349
Αλλοι Προσδιοριστές: 10.1007/978-3-030-32065-2_6
Εμφανίζεται στις Συλλογές: Τμήμα Εφαρμοσμένης Πληροφορικής

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