International Journal of Knowledge Processing Studies

The International Journal of Knowledge Processing Studies (IJKPS) is an academic, peer-reviewed, open-access journal published quarterly that is being published  by Ayande Amoozan -e- ATA (AAA) in collaboration with Iran Knowledge Management Association (IKMA). IJKPS publishes original and state of the art research in knowledge and information processing and management concerning theory, methods, or applications in a range of domains, including knowledge extraction, knowledge-based systems, data and information processing, data mining, big data, data-driven decision making, ontologies, knowledge engineering, human decision simulation, process-oriented knowledge management, knowledge systems interoperability, sharing and application of knowledge, artificial agents, data engineering, knowledge discovery, data visualization, human-computer interaction, social media analysis, and social computing. We are calling for papers in all the above disciplines for the coming issues.

Journal Information:

• The International Journal of Knowledge Processing Studies (IJKPS) collaborates with the Iran Knowledge Management Association (IKMA).
• The flow chart of the article reviewing and acceptance process is described in the Peer Review Process.
• Intellectual Property Rights (IPRs): All intellectual property rights of the articles belong to the author.
• This publication is subject to the rules of the Ethics Committee for Publication (COPE) and follows the executive regulations of the Law on Prevention and Combating Fraud in Scientific Works.
• Type of publishable articles: Scientific-research articles
• Release Sequence: Quarterly
• Average article review time: 8-10 weeks
• Plagiarism: iThenticate is used to prevent plagiarism.
• Access to articles: Free
• If the article has a sponsor or provider of research credibility, it is mandatory to be included by the author.
• Country of Publication: Iran
• Publisher: Ayande Amoozan -e-ATA Company
• Specialty: information science, computer science, industrial engineering, and related areas.
• Release Start: Winter, 2021
• Article review and acceptance fee: Free
• Type of review: double-blind, and peer-reviewed (2 reviewers)
• Initial review period: one week
• Format: Electronic
• Electronic ISSN: 2783-4611
• Email: knowlegeprocessingstudies2020[AT]gmail.com.

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