Best Computer Science Journals for Machine Learning & Artificial intelligence

The ranking is founded on a unique bibliometric score devised by Research.com, integrating two critical factors: the estimated h-index of the journals and the number of leading scientists who have endorsed each journal over the past three years. By combining these elements, the ranking offers a nuanced perspective that accounts for both the impactful output of journals and their recognition by eminent experts in the field.

For this edition, Impact Score values were gathered as of 2024-11-27, ensuring the most up-to-date and relevant data is reflected in the analysis. The rigorous ranking process considered more than 266 journals, each selected following detailed inspection and meticulous evaluation. This examination encompassed an impressive corpus of over 71,539 scientific documents published within the past three years, contributed by 13,318 leading and highly respected scientists specializing in Machine Learning & Artificial Intelligence.

Through this depth of research and analytical complexity, the ranking upholds strict standards of quality and objectivity, providing the academic community with a trusted benchmark for evaluating journal excellence. For further insight into the methodology employed in computing these ranking scores, please refer to our Methodology Page.