Best Papers vs. Top Cited Papers in Computer Science (since 1996)

    The score in the bracket after each conference represents its average MAP score. MAP (Mean Average Precision) is a measure to evaluate the ranking performance. The MAP score of a conference in a year is calculated by viewing best papers of the conference in the corresponding year as the ground truth and the top cited papers as the ranking results.

    We acknowledge Jeff Huang for providing the list of best paper awards.
    New bestpaperMy Submit

    CHI ( Average MAP: 0.1389)

    CHI 2018MAP: 0.6111
    Rank&Cited by

    CHI 2017MAP:
    Rank&Cited by

    CHI 2016MAP:
    Rank&Cited by

    CHI 2015MAP: 0.1111
    Rank&Cited by

    CHI 2014MAP:
    Rank&Cited by

    CHI 2013MAP: 0.6111
    Rank&Cited by

    CHI 2012MAP:
    Rank&Cited by

    CHI 2011MAP:
    Rank&Cited by

    CHI 2010MAP:
    Rank&Cited by