The graph shows the changes in the impact factor of Machine Learning 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?
Machine Learning is the 3rd out of 5 Machine Learning journals. This Journal is the 66th out of 340 Artificial Intelligence journals. This means the journal is among the top 20% in the sub-discipline of Artificial Intelligence. This Journal is the 108th out of 736 Software Engineering journals. This means the journal is among the top 15% in the sub-discipline of Software Engineering. This Journal is the 120th out of 1,026 Computer Science journals. This means the journal is among the top 12% in the discipline of Computer Science. This Journal is the 190th out of 2,945 Formal Sciences journals. This means the journal is among the top 7% in the science branch of Formal Sciences. This Journal is the 622nd out of 4,401 Applied Sciences journals. This means the journal is among the top 15% in the science branch of Applied Sciences. This Journal is the 1302nd out of 11,479 Physical Sciences journals. This means the journal is among the top 12% in the science branch of Physical Sciences.
How are inpact factors calculated?
The impact factor (IF) is calculated by counting citations from peer-reviewed journals only.
extended IF also counts citations from books and conference papers. However, no patent, abstract, working papers, online documents, etc., are covered.
