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.

Network

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

    King, William (Recipient), 2013

    Prize: Member/Fellow

  • AAAS Fellow

    Cohen, Neal (Recipient), 2012

    Prize: Member/Fellow

  • AAAS Fellow

    Bhargava, Rohit (Recipient), 2020

    Prize: Member/Fellow