The Springer Series on Challenges in Machine Learning
10.4(top 2%)
impact factor
98(top 100%)
papers
2.8K(top 20%)
citations
23(top 20%)
h-index
10.8(top 2%)
impact factor
109
all documents
3.2K
doc citations
53(top 20%)
g-index
The graph shows the changes in the impact factor of The Springer Series on Challenges in Machine Learning and its corresponding percentile for the sake of comparison with the entire literature. Impact Factor is the most common scientometric index, which is defined by the number of citations of papers in two preceding years divided by the number of papers published in those years.
