Nat Mach Intell
Nature Machine Intelligence is a premier monthly journal published by Springer Nature, dedicated to the rapidly evolving intersection of artificial intelligence, machine learning, and the broader natural sciences. With an ISSN of 2522-5839 and a 2026 Impact Factor of 25.8980, the journal holds a distinguished Q1 ranking in the JCR, reflecting its status as one of the most influential and highly cited publications in its field. The journal’s scope encompasses fundamental advances in machine learning algorithms, data-driven models, and intelligent systems, with a strong emphasis on applications that address complex scientific challenges across disciplines such as physics, chemistry, biology, medicine, engineering, and environmental science. It publishes a diverse range of article types, including original research articles, reviews, perspectives, and commentaries, all of which undergo rigorous peer review to ensure high scientific quality and novelty. The target audience includes academic researchers, data scientists, engineers, and industry professionals seeking cutting-edge developments in machine intelligence and its practical deployment. A notable feature of Nature Machine Intelligence is its hybrid open access model, allowing authors to publish under a Creative Commons license for immediate open access or through the traditional subscription route. The journal also offers dedicated content such as News & Views, editorials, and interviews with leading figures, fostering interdisciplinary dialogue. Its exceptional impact factor and top-tier quartile positioning underscore its role as a leading venue for transformative research that bridges machine learning with real-world scientific discovery and technological innovation.