The graph shows the changes in the impact factor of Neural Computation 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 Computation?
Neural Computation is the 4th out of 5 Machine Learning journals. This Journal is the 40th out of 89 Cognitive Neuroscience journals. This Journal is the 87th out of 340 Artificial Intelligence journals. This Journal is the 101st out of 4,377 Arts and Humanities journals. This means the journal is among the top 3% in the science branch of Arts and Humanities. This Journal is the 112nd out of 344 Neuroscience journals. This Journal is the 181st out of 1,027 Computer Science journals. This means the journal is among the top 18% in the discipline of Computer Science. This Journal is the 338th out of 3,140 Formal Sciences journals. This means the journal is among the top 11% in the science branch of Formal Sciences. This Journal is the 1131st out of 20,139 Social Sciences journals. This means the journal is among the top 6% in the science branch of Social Sciences. This Journal is the 1393rd out of 6,760 Biology journals. This Journal is the 2080th out of 9,726 Life Sciences journals.
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.
