Statistical Science

Statistical Science, published by the Institute of Mathematical Statistics (IMS), is a preeminent peer-reviewed journal dedicated to the advancement of statistical methodology and its applications. With an ISSN of 0883-4237 and an Impact Factor of 6.6000 for 2026, the journal holds a distinguished Q1 ranking in the JCR, placing it among the most influential publications in the field. The journal’s scope is broad yet deeply focused, encompassing the conceptual foundations, theoretical developments, and practical implementation of statistical science. It features a unique blend of article types, including comprehensive review articles, expository papers, and discussions that synthesize emerging trends or revisit classical problems. Unlike many journals that prioritize original research only, Statistical Science emphasizes clarity and accessibility, often publishing articles with invited commentary from leading experts to foster scholarly dialogue. The target audience includes academic statisticians, data scientists, quantitative researchers in fields such as epidemiology, economics, and engineering, as well as graduate students seeking authoritative surveys of modern statistical thought. Notable features include its open access options for authors and its commitment to publishing high-impact, survey-style pieces that bridge theory and practice. The journal’s standing is exceptional: its Q1 quartile and robust impact factor reflect its role as a cornerstone for the dissemination of statistical knowledge, often serving as a first reference for cutting-edge methodologies. By prioritizing rigorous exposition over narrow technical novelty, Statistical Science remains an essential resource for the global statistics community.