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 level. Dive into details by clicking on the dots.


    No photo of James Allison

    James Allison

    Person: Academic

    No photo of Phillip J Ansell

    Phillip J Ansell

    Person: Academic

    Photo of Mike Balajewicz

    Mike Balajewicz

    Person: Academic

    Research Output

    A comparison of physics- And correlation-based turbulence models at low reynolds numbers

    Ranjan, P., Warton, W. J. & James, K. A., Jan 1 2020, In : Journal of Aircraft. 57, 1, p. 128-142 15 p.

    Research output: Contribution to journalArticle

  • A computational model for nanosecond pulse laser-plasma interactions

    Munafò, A., Alberti, A., Pantano-Rubino, C. A., Freund, J. B. & Panesi, M., Apr 1 2020, In : Journal of Computational Physics. 406, 109190.

    Research output: Contribution to journalArticle

  • Agricultural robotics research applicable to poultry production: A review

    Ren, G., Lin, T., Ying, Y., Chowdhary, G. & Ting, K. C., Feb 2020, In : Computers and Electronics in Agriculture. 169, 105216.

    Research output: Contribution to journalReview article

  • Datasets

    The Visual-Inertial Canoe Dataset

    Miller, M. (Creator), Chung, S. (Creator) & Hutchinson, S. A. (Creator), University of Illinois at Urbana-Champaign, Nov 14 2017


    Press / Media

    Honors & Recognition