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.


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

    Abd El Khalick, Fouad (Recipient), 2011

    Prize: Member/Fellow

  • AAIDD Early Career Award

    Burke, Meghan Maureen (Recipient), 2019

    Prize: Prize/Award

  • AAIDD Fellow

    Wolowiec-Fisher, Kimberly (Recipient), 2018

    Prize: Member/Fellow