Journals

  • International Journal of Computers and Geoinformatics

    ICOMATICS: International Journal of Computers and Geoinformatics publishes high-impact, original research at the intersection of Computer Sciences and Geoinformatics. Submissions should utilize modern computer science paradigms, whether computational or informatics-based, to address challenges and advancements in geoinformatics and related fields. This journal publishes original research papers that have not been previously published and have undergone a double-blind peer review process. The IJoCG is issued twice a year by PT. Amerta Geospasial Indonesia.

    [Covers]

  • International Journal of Data Science and Scientific Computing (IJoDSSC)

    An "International Journal of Data Science and Scientific Computing (IJoDSSC)" would likely refer to a scholarly publication focused on research related to data science methodologies and applications within the field of scientific computing, encompassing topics like data analysis, modeling, visualization, and algorithm development used in scientific research across various disciplines; essentially bridging the gap between data science techniques and their implementation in scientific computing scenarios. This journal publishes original research papers that have not been previously published and have undergone a double-blind peer review process. The IJoDSSC is issued twice a year by PT. Amerta Geospasial Indonesia (AMGEOID).

    Key points about this journal:
    Focus areas:
    This journal would likely publish research papers on topics like advanced data mining techniques for scientific data, computational modeling using data science approaches, big data analysis in scientific fields, development of specialized data science tools for scientific applications, and the integration of data science with high-performance computing. 
    Target audience:
    Researchers, practitioners, and academics in data science, computer science, statistics, and various scientific fields who are interested in applying data science methods to solve complex scientific problems.