Journal of Data Science, Informetrics, and Citation Studies (J Data Sci. Info. Citation Studies) is the official publication of Phcog.Net on an international scale. It is an open-access journal that publishes peer-reviewed articles online. It is peer-reviewed in a double-blind manner. The journal welcomes empirical and theoretical contributions that contribute to the advancement of research in Data Science, Data Analytics, Policy Studies, Scientometrics, Informetrics, Bibliometrics, Altmetrics, Webometrics, and Research Evaluation.

The journal publishes articles in all of scientometrics' subfields, including patent studies (techometrics) and web-based studies (webometrics). Additionally, it publishes articles that analyse country/regional/sectoral/sectoral research, innovation, and entrepreneurial ecosystems using science-technology-innovation indicators. We encourage submissions in areas of contemporary interest such as open science, new tools and techniques, including novel approaches to information retrieval, metrics, and novel forms of publication. 

The journal accepts articles in a variety of categories, which are highlighted below: 

Data Science, Data Analytics, Policy Studies, Scientometrics, Informetrics, Bibliometrics, Altmetrics, Webometrics, and Research Evaluation.

Frequency: Triannual (3 issues per year)
Editor-in-Chief: Dr. Anup Kumar Das, Ph.D
Open Access Journal: J Data Sci. Information Citation Studies is an open access journal that allows authors to self-fund the publication of their article.