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    Wyświetlanie 1-2 z 2
    Tytuł:
    Why is TASK Quarterly a Significant Journal to Publish Your Article? — A Bibliometric Analysis of a Scientific and Technical Journal
    Autorzy:
    Adamczak, Beata
    Powiązania:
    https://bibliotekanauki.pl/articles/23316032.pdf
    Data publikacji:
    2022
    Wydawca:
    Politechnika Gdańska
    Tematy:
    publications
    citations
    bibliometric analysis
    Opis:
    A bibliometric analysis of TASK Quarterly in the years 1997-2021 in terms of various bibliometric indicators was performed to celebrate the 25th anniversary of the publication of the first issue of the journal. The number of publications and citations increased over the mentioned span of years. The leading countries in terms of the greatest number of papers published in TASK Quarterly are Poland, Italy, Germany, Ukraine, USA and Russia. Moreover, it is shown that international collaboration can result in a greater number of citations per publication. The average publication time in TASK Quarterly is 77 days, including the average submission-acceptance time (44 days) and the average acceptance publication time (33 days). Based on the author’s findings, it can be seen that although TASK Quarterly is a journal devoted mainly to physical and computer sciences, many publications also focus on the aspects related to mathematics, biomedical engineering and biophysics. CFD, molecular dynamics, the finite element method (FEM) and numerical simulations are the most frequently used keywords in articles published in TASK Quarterly.
    Źródło:
    TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk; 2022, 26, 3
    1428-6394
    Pojawia się w:
    TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Data Journals and Data Papers in various research areas and scientific disciplines - bibliometric analysis based on InCites
    Autorzy:
    Adamczak, Beata
    Powiązania:
    https://bibliotekanauki.pl/articles/1991139.pdf
    Data publikacji:
    2021-12-30
    Wydawca:
    Politechnika Gdańska
    Tematy:
    data journals
    data papers
    research areas
    bibliometric analysis
    Opis:
    The main aim of this work is to provide insight into a bibliometric analysis of Data Journals and Data Papers in terms of research areas, disciplines, publication year and country.In particular, we calculated many bibliometric indicators, especially: the number of publications and citations. Furthermore, this work also investigated the top 20 journals in which scientists published the largest number of Data Papers. It was found that the first Data Paper in Medical and Health Science was published in 2006. Our results indicate that about 64% of Data Papers are cited and about 30% of Data Papers are articles that have international co-authors. We also found that a significant number of Data Papers were published in top quartile (Q1) Open Access journals. Furthermore, most Data Papers were published in Multidisciplinary Sciences, followed by Biological Sciences, Earth and related Environmental Sciences as well as Computer and Information Sciences. Our analyses show that the largest number of Data Papers were published in journals with an Impact Factor ranging from 5 to 6. Additionally, the largest number of Data Papers were published in the USA, China, the United Kingdom, Italy andFrance. From the point of view of scientists, this work is needed because scientists can check information about journals in which they may publish research data. Moreover, they can find Data Journals with a high Impact Factor and MEiN points. This analysis is also interesting because scientists/publishers can compare the disciplines and countries in which researchers have published the greatest number of Data Papers. Finally, it is worth noting that this work gives insights into the various bibliometric indicators related to citations and the number of publications. This information can be useful for people associated with bibliometric analyses.
    Źródło:
    TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk; 2021, 25, 4; 433-471
    1428-6394
    Pojawia się w:
    TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-2 z 2

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