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: 0.1078)

CHI 2020 MAP: 0.0
Rank&Cited by

CHI 2019 MAP: 0.0
Rank&Cited by

CHI 2018 MAP: 0.6111
Rank&Cited by

CHI 2017 MAP: 0.0
Rank&Cited by

CHI 2016 MAP: 0.0
Rank&Cited by

CHI 2015 MAP: 0.0
Rank&Cited by

CHI 2014 MAP: 0.0
Rank&Cited by

CHI 2013 MAP: 0.6111
Rank&Cited by

CHI 2012 MAP: 0.0
Rank&Cited by

CHI 2011 MAP: 0.0
Rank&Cited by

CHI 2010 MAP: 0.0
Rank&Cited by