Automated reviewer matching is a process that utilizes machine learning algorithms and AI to assign manuscripts to suitable reviewers based on specific criteria. These criteria often include the reviewers' area of expertise, publication history, and past reviewing performance. By analyzing these factors, the system aims to streamline the peer review process, ensuring that manuscripts are evaluated by the most qualified individuals.
