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.
ICCAD ( Average MAP: 0.123)
ICCAD 2019「 MAP: 0.0 」Rank&Cited
- 19
- 19
- 38
- BESTPAPER!152
- BESTPAPER!460
ICCAD 2018「 MAP: 0.6111 」Rank&Cited
- BESTPAPER!164
- 235
- 328
- BESTPAPER!249
ICCAD 2015「 MAP: 0.0 」Rank&Cited
- 1169
- 285
- 352
- BESTPAPER!4114
- BESTPAPER!697
ICCAD 2013「 MAP: 0.0 」Rank&Cited
- 1289
- 2169
- 3111
- BESTPAPER!470
- BESTPAPER!1841
- BESTPAPER!963
ICCAD 2011「 MAP: 0.0 」Rank&Cited
- 1216
- 2145
- 384
- BESTPAPER!769
- BESTPAPER!1545
ICCAD 2010「 MAP: 0.1111 」Rank&Cited
ICCAD 2009「 MAP: 0.2778 」Rank&Cited
- 1327
- BESTPAPER!2287
- 3160
- BESTPAPER!5123
- BESTPAPER!6418
ICCAD 2008「 MAP: 0.0 」Rank&Cited
- 1263
- 2211
- 3183
- BESTPAPER!2060
- BESTPAPER!5824
ICCAD 2007「 MAP: 0.6111 」Rank&Cited
ICCAD 2006「 MAP: 0.0 」Rank&Cited
- 1607
- 2255
- 3223
- BESTPAPER!2080
ICCAD 2005「 MAP: 0.0 」Rank&Cited
ICCAD 2004「 MAP: 0.1111 」Rank&Cited
ICCAD 2003「 MAP: 0.0 」Rank&Cited
- 1635
- 2538
- 3298
- BESTPAPER!4221
- BESTPAPER!1057