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.


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  • AERA Outstanding Book Award

    Anderson, James D (Recipient), 1990

    Prize: Prize/Award

  • AESA Critics' Choice Award

    Anderson, James D (Recipient), 1989

    Prize: Prize/Award

  • ALI Member

    Robbennolt, Jennifer Kirkpatrick (Recipient), 2021

    Prize: Member/Fellow