Best Computer Science Conferences for Machine Learning & Artificial Intelligence

The position of each conference in this ranking is determined by a distinctive bibliometric score uniquely devised by Research.com. This score integrates the estimated h-index alongside the number of prominent scientists who have expressed endorsement of the conference over the preceding three years, thereby reflecting both academic impact and recognition within the expert community.

The ranking incorporates Impact Score values collected as of January 12, 2026. To ensure comprehensive and authoritative coverage, the evaluation encompassed over 332 carefully selected conferences. These selections were the result of an in-depth, meticulous examination of more than 70,955 scientific documents published over the last three years, authored by 13,604 esteemed and influential scholars specializing in Machine Learning and Artificial Intelligence.

For an in-depth explanation of the methodology employed to calculate the ranking scores, including the bibliometric indicators and endorsement criteria, interested readers are invited to consult our Methodology Page. This detailed resource elucidates the complex analytical framework and scholarly rigor underpinning this ranking, underscoring its reliability and academic significance.