Exploratory, not prescriptive
SotA Lens helps discover neighbouring terms, subfields, influential works, and candidate clusters before the final review protocol is fixed.
Research software for exploratory evidence mapping
SotA Lens turns scholarly metadata into citation networks, community summaries, and browser-ready visualisations for early-stage state-of-the-art, scoping, and systematic mapping reviews.
SotA Lens helps discover neighbouring terms, subfields, influential works, and candidate clusters before the final review protocol is fixed.
The method supports upstream mapping and protocol design. It does not replace eligibility screening, critical appraisal, or transparent reporting.
The Python pipeline can run locally, and the web explorer reads CSV/GEXF files in the browser without uploading them.
SotA Lens is intended for researchers who need to understand a broad field before writing a focused state-of-the-art chapter, scoping review, or systematic mapping study.
The included case study maps literature around Dynamic Projection-Mapping and Spatial Augmented Reality, yielding a complete graph of 2,198 publication nodes and 8,249 citation edges.