Sphinx Scientific Press LLC is a U.S.-based academic publisher specializing in peer-reviewed scientific journals and scholarly books. Legally established as a Limited Liability Company in the state of Wyoming (USA) on 17 June 2025 (Certificate ID # 2025-001701916), the press is dedicated to disseminating high-quality research through both open access and subscription-based models. Its mission is to support the advancement of global scientific knowledge, with a particular focus on the mathematical, statistical, computational, and interdisciplinary sciences. The press upholds a vision centered on rigorous editorial standards, transparent peer review, and ethical publishing practices, while ensuring rapid, affordable, and worldwide access to research. Sphinx Scientific Press is led by a team of experienced scholars and publishing professionals who are deeply committed to academic excellence.

Journals

  • Sphinx

    Innovation in Statistics and Probability

    Innovation in Statistics and Probability (ISP) is an Open-Access international journal published in English, including double-blind peer review, and issues are released biannually in June and December. For publication in this journal, an original manuscript must be accurate, novel, nontrivial, and of significant interest to a considerable readership, as published by Sphinx Scientific Press (SphinxSP). ISP comprises articles on Mathematics, Statistics, Data Analysis, Operational Research, Actuarial Statistics, and the use of statistical approaches across several fields. All endeavors are undertaken to guarantee a rigorous yet expedited editorial process and swift publication. Concise papers are supervised by a global editorial board consisting of academics and researchers.
    ISSN: 3068-6601

  • Modern Journal of Statistics

    Modern Journal of Statistics

    The Modern Journal of Statistics (MJS) is a leading international, peer-reviewed, open-access journal dedicated to advancing statistical science. Published biannually in July and January by Sphinx Scientific Press, MJS employs a rigorous double-blind peer-review process to ensure the highest academic standards. The journal emphasizes cutting-edge methodological and theoretical contributions in statistics, probability, and stochastic processes, as well as innovative applications across diverse scientific disciplines. These include, but are not limited to, biological and biomedical sciences, medicine, business, economics, social sciences, physics, data science, and engineering. By fostering the dissemination of high-quality research, MJS serves as a vital platform for statisticians, researchers, and practitioners worldwide, promoting interdisciplinary collaboration and the development of novel statistical methodologies.

    ISSN: 3068-8140

  • icds

    Innovation in Computer and Data Sciences

    Innovation in Computer and Data Sciences (ICDS) is an open access international journal published in English with double-blind peer review. Issues are published biannually by Sphinx Scientific Press. An original manuscript for publication in this journal must be reliable, novel, non-trivial, and of significant interest to a large number of readers, as published by a reputable press.
    ICDS includes articles on computer science, data science, machine learning, artificial intelligence, data analytics, computational theory, bioinformatics, and the application of these approaches in a variety of fields. All endeavors are undertaken to guarantee a rigorous yet expedited editorial process and swift publication. Concise papers are supervised by a global editorial board consisting of academics and researchers.

    ISSN: 3069-289X