Views provided by UsageCounts
Updates for experimental package: Polishing of I/O Added Optimization Passes over the constructed Intermediate Schema: Remove Empty Rows Passes Remove nulls. Comes in 2 versions: Soft and Hard. Hard will remove all the branches that are not splittable and contains null as one of the fields. Soft just removes nulls without checking for this "branch safety". Schema Pruning - Prunes as deep as Spark allows. Takes effect together with Apache Spark PR: https://github.com/apache/spark/pull/16578 All of optimizations are enabled by default (w/o SoftRemove) and can be turned off/on with spark.sqlContext.read.option("OptimizationName", true/false or "on/off"). Updates for org.dianahep.sparkroot package: Default parallelism is the number of files.
| 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). | 2 | |
| 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