The graph shows the changes in the impact factor of Neural Networks 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 Neural Networks?
Neural Networks is the 5th out of 89 Cognitive Neuroscience journals. This means the journal is among the top 6% in the sub-discipline of Cognitive Neuroscience. This Journal is the 11th out of 343 Neuroscience journals. This means the journal is among the top 4% in the sub-discipline of Neuroscience. This Journal is the 16th out of 340 Artificial Intelligence journals. This means the journal is among the top 5% in the sub-discipline of Artificial Intelligence. This Journal is the 26th out of 1,026 Computer Science journals. This means the journal is among the top 3% in the discipline of Computer Science. This Journal is the 35th out of 2,945 Formal Sciences journals. This means the journal is among the top 2% in the science branch of Formal Sciences. This Journal is the 205th out of 5,258 Biology journals. This means the journal is among the top 4% in the discipline of Biology. This Journal is the 250th out of 11,479 Physical Sciences journals. This means the journal is among the top 3% in the science branch of Physical Sciences. This Journal is the 282nd out of 8,993 Life Sciences journals. This means the journal is among the top 4% in the science branch of Life 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.
