The graph shows the changes in the impact factor of Machine Learning: Science and Technology 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: Science and Technology?
Machine Learning: Science and Technology is the 44th out of 340 Artificial Intelligence journals. This means the journal is among the top 13% in the sub-discipline of Artificial Intelligence. This Journal is the 80th out of 1,026 Computer Science journals. This means the journal is among the top 8% in the discipline of Computer Science. This Journal is the 110th 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 784th out of 11,479 Physical Sciences journals. This means the journal is among the top 7% 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.
