A new software-driven, semantic analysis of electronic documents offers users a separate list of additional documents matching their initial search request.
The related documents function presents the user with additional SpringerLink or Springer for R&D content that is relevant to their research and offers convenient access to these documents.
Related documents returns additional documents with content that is most similar to the source document, using a new digital fingerprinting process that analyzes journal articles and book chapters on a content level that far surpasses simple keyword search functions.
You will find a list of related content on the abstract page of the article/chapter you are looking at:
You will also find a relationship map tool that allows you to visually explore related topics and terms.