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.
GLSVLSI ( Average MAP: 0.0278)
GLSVLSI 2019「 MAP: 」Rank&Cited by
GLSVLSI 2018「 MAP: 0.1111 」Rank&Cited by
GLSVLSI 2017「 MAP: 」Rank&Cited by
GLSVLSI 2016「 MAP: 」Rank&Cited by