RevTriage

RevTriage is a web app (with optional browser extension) that helps journal editors and conference chairs quickly shortlist reliable peer reviewers and reduce review delays. It builds a “reviewer fit” profile from public signals (ORCID, Crossref, Semantic Scholar, OpenAlex) and editor-provided constraints (topic, methods, conflicts, turnaround expectations). The app flags obvious conflicts (recent coauthorship, same institution, advisor/advisee hints), suggests alternates, and generates a concise invite message. It also tracks invitations, reminders, and response rates, producing a lightweight performance dashboard that editors can export. This is an AI + traditional app: AI is used for topic/method matching and summarizing a reviewer’s relevant work, but editors stay in control with transparent evidence links and manual overrides. The goal is not to “judge quality,” but to cut the time wasted on bad reviewer selection and non-responses.

← Back to idea list