SciPublication is dedicated to advancing knowledge by publishing rigorous, peer-reviewed academic research across a diverse range of disciplines, including but not limited to, social sciences, humanities, natural sciences, education, business, and management. We strive to foster innovation and the dissemination of new ideas by ensuring that all our publications are freely accessible online, supporting the principles of open research and facilitating the global exchange of scholarly information.

Submissions to SciPublication can be made through our intuitive online submission system, which allows authors to upload their manuscripts directly to our editorial board. This system also enables authors to monitor the progress of their submissions throughout the review process. Alternatively, authors may submit their manuscripts via email by sending them to submit@scipublication.com. Please ensure that the name of the intended journal is clearly mentioned in the email.

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Journals

  • Journal of Advanced Computing Systems

    The Journal of Advanced Computing Systems (JACS) is a peer-reviewed monthly publication focusing on cutting-edge computer science and technology. It covers a wide range of topics, including quantum computing, cybersecurity, AI, and more. JACS emphasizes rigorous peer review, interdisciplinary approaches, and real-world applications. The journal publishes various types of content, from full research articles to perspective pieces, curated by experts from academia and industry. JACS aims to lead in disseminating knowledge that shapes the future of computing.

  • International Journal of Healthcare Innovations and Data Science

    The International Journal of Healthcare Innovations and Data Science (IJHIDS) is a peer-reviewed, bi-annual journal focused on advancing healthcare through data science. It provides a platform for researchers, practitioners, and policymakers to share innovative, data-driven approaches to improving healthcare delivery, decision-making, and patient outcomes. IJHIDS highlights cutting-edge methodologies such as machine learning, big data analytics, and AI, aiming to transform healthcare systems and optimize clinical practices. Each issue features original research and reviews that bridge the gap between healthcare and emerging data technologies.

  • Artificial Intelligence and Machine Learning Review

    The Artificial Intelligence and Machine Learning Review (AIMLR) is a quarterly, peer-reviewed journal published by Scipublication.com. It focuses on AI and ML advancements, covering topics from deep learning to ethical AI. AIMLR balances theoretical research with practical applications, emphasizing societal implications of AI/ML technologies. The journal employs a rigorous double-blind peer-review process and features various content formats, including original research, surveys, and case studies. AIMLR aims to accelerate AI/ML innovation while promoting responsible development, offering authors global visibility to academics, industry professionals, and policymakers.