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Special Issue Announcement

IndiaLiCS Special Issue (Based on Presented papers at the Forth IndiaLICS International Conference 2017 on “Innovation for Sustainable Development: Perspectives, Policies, and Practices in South Asia”. Final selection of papers will be through double blind peer review process)

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The special Issue on Machine Learning aims to capture the baseline, set the tempo for future research in India and abroad and prepare a scholastic primer that would serve as a standard document for future research.

We welcome original and unpublished contributions (adhering to the journal format) that discuss new developments in efficient models for complex computer experiments and data analytic techniques which can be used in Scientometric data analysis as well as related branches in physical, statistical and computational sciences.

Submit papers or query for special issue to specialissue@jscires.org

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We are pleased to inform you that Journal of Scinetometric Research has been listed UGC List of Approved Journals.

Journal of Scientometric Research (J. Scientometric Res.) is an internationally targeted official publication of Phcog.Net. It publishes peer reviewed articles online in an open access format. The journal will encourage both empirical and theoretical contributions that advance scientometric research and would also reach out to scholars of Science and Technology Studies (STS), sociology, economics and any other field who use scientometric data as the ‘object of investigation’ or apply scientometric analysis in policy or innovation studies. The journal thus seeks to publish articles in all the different domains of scientometrics including patent studies (techometrics) and web-based studies (webometrics).

ISSN : [ISSN:Print -2321-6654, Online - 2320-0059] ; Frequency : Rapid at a time publication - Trienniel (3 issues/year)

Editor-in-Chief: Dr. Sujit Bhattacharya, Ph.D
Rapid publication: Average time from submission to first decision is 30 days and from acceptance to In Press online publication is 45 days.
Abstracting and Indexing Information : The journal is registered with the following abstracting partners:
CNKI (China National Knowledge Infrastructure), EBSCO Publishing's Electronic Databases, Exlibris – Primo Central, Google Scholar, Hinari, Infotrieve, Journal Guide, National Science Library, OpenJGate, ProQuest, TdNet The journal is indexed with, or included in, the following: ESCI (Emerging Source Citation Index)

Open Access Journal: JSCIRES is an open access journal, which allows authors to fund their article to be open access in the form publication.

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