Fingerprint

The Elsevier Fingerprint Engine mines the text of the experts' scholarly documents – publication abstracts, awards, project summaries, patents, and other sources – to create an index of weighted terms which defines the text, known as a Fingerprint. By aggregating and comparing Fingerprints, the Elsevier Fingerprint Engine enables users to look beyond metadata and expose valuable connections among people, research units, publications, and ideas.

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
  • AAAS Fellow

    Federmeier, Kara D (Recipient), 2022

    Prize: Member/Fellow

  • AAAS Fellow

    Roth, Dan (Recipient), 2014

    Prize: Member/Fellow

  • ACL Fellow

    Roth, Dan (Recipient), 2012

    Prize: Member/Fellow