The field of AI planning is important for many individuals and institutions, from researchers to industries. It has many application domains ranging from small drones to planning flight schedules of airports. In this work, we want to take a closer look at the academic side of AI planning by analysing publications from two major AI conferences, the ICAPS and the IJCAI conference. In particular, we want to tackle the question of how strong the relationship between theoretical and practical papers is in the academic field. To this end, we formulate an annotation task and analyse the data with well-known text processing methods as well as network analysis methods. We found that the practical side of AI planning is underrepresented, yet it is well connected and growing. Thus, the practical side of AI planning has a good foundation in this field.