Scholarly publisher and technology provider Pensoft and its self-developed publishing platform ARPHA have announced the addition of The International Journal of Universal Computer Science (J.UCS) to their portfolio. With this addition, the publisher, best known for a wide range of biodiversity-themed journals, steps into the field of computer science.
Since 1995, J.UCS has been publishing, digitally and in print, research articles and editorials on all aspects of computer science. With a free-of-charge policy for both authors and readers, and a review process usually taking between 6 and 10 weeks, its volumes have been documenting, connecting and reflecting novel aspects of computer science. J.UCS’ peer-reviewed monthly issues, as well as special issues on selected topics, continuously serve as one of the major knowledge bases for the research community in computer science. Currently, its Impact Factor stands at 1.139 (2020), and its CiteScore is at 2.0 (2020).
The journal is already publishing on a brand-new, user-friendly website under Pensoft’s scholarly publishing platform ARPHA. Its latest issue features a model for forecasting air travel demand with machine learning; an analysis of the effect of different stimuli, such as video and sound on a user’s sense of presence in a virtual environment; and a new approach for solving the 15-puzzle problem using the artificial bee colony algorithm.
By moving to ARPHA, J.UCS now enjoys a long list of high-tech perks, which dramatically enhance the entire publishing process, from submission to publication, distribution and archiving. All users of the journal’s system – authors, editors, and reviewers, can benefit from ARPHA’s integrated approach, which ensures that once submitted, each manuscript goes through the whole cycle: from manuscript submission, review and copy/layout editing to publication, dissemination and archiving, without ever leaving ARPHA’s collaboration-focused online environment.
The easy-to-use platform offers features such as papers available in a machine-readable XML format, automated data export to aggregators, automated notifications and reminders, usage metrics and web-service integrations with major global indexing databases, which ensure that published articles are easy to discover, access, cite and reuse by both humans and machines all over the world.
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