The Single-Machine Scheduling Problem (SMSP) serves as the cornerstone of scheduling theory. Almost all developments in production planning and control were initially introduced and tested within single-machine production settings. Exploring the literature on SMSPs illuminates the entire development trajectory of scheduling theory. This study employs the Main Path Analysis (MPA) for a systematic review that is the first of its kind in the literature on SMSPs. By analyzing 2904 articles, the main path and key branches that highlight the most significant documents in the development trajectory as well as the specifics in different development stages of the field are identified. The literature is analyzed in four stages of development, following a chronological order. Within this framework, the focus of the studies, key technologies, and characteristics of each period are discussed. Cluster and keyword analysis are employed alongside MPA to identify and explore the predominant themes in the field, including SMSPs with deterioration and/or learning effects, solution methods for SMSPs with various constraints, solving SMSPs integrated with maintenance-related variables and constraints, advanced solution methods and constructive heuristics for minimizing delays, as well as agent-based methods for single-machine scheduling. The review outcomes consist of directions for future research based on the development trajectories of SMSPs.