This study focuses on the development and evaluation of circular Poisson regression models tailored for circular count data. The research objectives include the formulation of specialized Poisson regression models respecting the circular nature of the data, comprehensive evaluation of model performance through simulation studies and real-world applications, exploration of practical applications in fields like ecology and meteorology, and the provision of implementation guidelines for researchers and practitioners. By achieving these objectives, this research contributes to advancing the understanding of circular statistics and provides valuable insights into estimating counts on circular scales accurately.