Views provided by UsageCounts
This is the software and dataset companion for the paper entitled "Providing In-depth Performance Analysis for Task-based Applications with StarVZ" by Vinícius Garcia Pinto, Lucas Leandro Nesi, Marcelo Cogo Miletto, Lucas Mello Schnorr. The manuscript has been submitted in February 8th for publication in the Heterogeneity in Computing Workshop at IPDPS 2021 and accept in March. Further instructions can be found in the README.org file.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 3 |

Views provided by UsageCounts