Community detection (CD) in a citation network is necessary for detecting the relationships and patterns between scientific articles which results to discover the knowledge and a better understanding of significant research works. Citation network analysis is a field of research in which it demonstrates how the academic articles and their citations are interrelated, most influenced and illustrating the trends of research. CD is an important element for studying citation networks and it provides a way to understand the relationships between different elements of the network. The primary goal of CD in citation networks is to identify groups of closely related publications that have common topics or subjects. This may lead to a better understanding of the topic. The goal of this study is to find the communities based on their citation patterns of linked sources in citation networks to understand the implicit structure and connections between the academic papers using different CD algorithms.