5.6(top 2%)
Impact Factor
7.4(top 2%)
extended IF
96(top 4%)
H-Index
747
authors
933
papers
43.1K
citations
3.2K
citing journals
17.3K
citing authors
Selected Period:
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Impact Factor of Data Mining and Knowledge Discovery based on the number of citations over 2-year window
The graph shows the changes in the impact factor of Data Mining and Knowledge Discovery 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 Data Mining and Knowledge Discovery?

Data Mining and Knowledge Discovery is the 1st out of 4 Data Mining journals. This Journal is the 1st out of 9 Computational Statistics journals. This means the journal is among the top 12% in the sub-discipline of Computational Statistics. This Journal is the 4th out of 165 Statistics journals. This means the journal is among the top 3% in the discipline of Statistics. This Journal is the 29th out of 460 Information Systems journals. This means the journal is among the top 7% in the sub-discipline of Information Systems. This Journal is the 53rd out of 736 Software Engineering journals. This means the journal is among the top 8% in the sub-discipline of Software Engineering. This Journal is the 67th out of 1,026 Computer Science journals. This means the journal is among the top 7% in the discipline of Computer Science. This Journal is the 92nd out of 2,945 Formal Sciences journals. This means the journal is among the top 4% in the science branch of Formal Sciences. This Journal is the 315th out of 4,401 Applied Sciences journals. This means the journal is among the top 8% in the science branch of Applied Sciences. This Journal is the 668th out of 11,479 Physical Sciences journals. This means the journal is among the top 6% in the science branch of Physical Sciences.