ResearchRabbit, founded in 2021 and completely free to use, builds a visual network of papers and authors around a growing personal collection rather than a single search query, commonly described informally as a Spotify-style recommendation experience for academic literature: add a paper, and related work surfaces continuously as the collection itself evolves.
That continuous, collection-driven model differs from the one-time citation graphs other tools in this category build around a single starting paper: ResearchRabbit keeps generating new suggestions as a researcher adds more papers over time, tracking author networks and citation connections that shift as the collection grows rather than freezing at one snapshot.
ResearchRabbit remains free with no paid tier. For a researcher who wants an evolving, collection-based discovery experience that keeps surfacing new relevant work as a project develops, rather than a one-time graph generated from a single paper, ResearchRabbit's continuously updating model addresses that ongoing discovery need directly, at no cost.
