This study chose the Pubmed database (one of the world's leading databases) as the research sample and data source to be used in the bibliometric analysis. The research sample of 143 articles was published following keyword search conditions. To explore and identify key thematic areas as well as emerging topics using keyword co-occurrence analysis. To support the visualization and analysis process of the data obtained, the Vosviewer application is used. The results of this study show that APE for ASD is a research field that still needs development, this is seen from the productivity in publications ranging from 2001 to 2023, whose publication range is still below 85 articles per five years. In the visualization section, the density of high keywords is presented in 5 clusters, namely: (1) disorder; (2) service; (3) quality; (4); student (5) intervention. Bibliometric analysis in the form of mapping this analysis provides conveyance to the public regarding the pattern of publication development in the field of APE for ASD. With these findings, it helping make a multi-year research roadmap. Furthermore, it contributes to further next research, namely such as: 1) The need for holistic research on the dimensions of disorder, service, quality, and student that cluster; and, 2) the need for in-depth research focusing on one or more of the themes that are still rarely studied. such as motor skills, eating, COVID, autistic adult, Emily, home, depression, mother, care, and autistic individual