2019
DOI: 10.35551/pfq_2019_3_4
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The Journals on the Domestic Lists of the Ix Section of the Hungarian Academy of Sciences in Light of the Requirements of International Journal Selection

Abstract: Publish or Perish places researchers under increasing pressure, but 20 percent of the publications receive more than 80 percent of the citations according to Garfield's Law of Concentration. The international indexing databases Scopus and the Web of Science try to index all the relevant publications. Being indexed by these databases must be a priority for Hungarian journals. The present study aims to analyse the journals on the domestic lists of the IX Section of the Hungarian Academy of Sciences. We use descr… Show more

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(2 citation statements)
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“…On average, 42 months have passed since the publication of the most recent issue. These indicators depend on the quality categories, and there is a significant correlation between the category, the number of papers and the number of citations per paper [5].…”
Section: Discussionmentioning
confidence: 99%
“…On average, 42 months have passed since the publication of the most recent issue. These indicators depend on the quality categories, and there is a significant correlation between the category, the number of papers and the number of citations per paper [5].…”
Section: Discussionmentioning
confidence: 99%
“…Scientometric research has also been conducted on ethics (Memon, 2016;Negahdary, 2017;Shinyaeva & Tarasevich, 2013;Genova 2016;Borgoyakova & Zemskov, 2018;Qin & all, 2016) especially in the period subjected to analysis (30 of 31 papers, according to Annex -Table1), taking into account the existing information both in WoS and / or Scopus databases (Negahdary, 2017, Borgoyakova & Zemskov, 2017Mahieu & all, 2018;Gureev & all;Patra & Das, 2019;Patra & Das, 2019;Ghazavi, 2019;Balatsky & Yurevich, 2016;Saberi & all, 2019;Guskov & Kosyakov, 2020, Truc & all, 2021 and in specialized databases (Leefmann & all, 2016) or national (Génova, 2016;Ghazavi & all, 2019;Sasvári & Urbanovics, 2019;Zemskov, 2016) databases.…”
Section: Introductionmentioning
confidence: 99%