3.1(top 5%)
Impact Factor
3.7(top 5%)
extended IF
17(top 19%)
H-Index
199
authors
167
papers
1.2K
citations
307
citing journals
808
citing authors
Selected Period:
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Impact Factor of Machine Learning and Knowledge Extraction based on the number of citations over 2-year window
The graph shows the changes in the impact factor of Machine Learning and Knowledge Extraction and its the 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.

How Influential is Machine Learning and Knowledge Extraction?

Machine Learning and Knowledge Extraction is the 152nd out of 736 Software Engineering journals. This Journal is the 857th out of 4,401 Applied Sciences journals. This means the journal is among the top 20% in the science branch of Applied Sciences.