NEURAL NETWORKS RESEARCH IN CONTEXT - A LONGITUDINAL JOURNAL COGITATION ANALYSIS OF AN EMERGING INTERDISCIPLINARY FIELD

A cocitation analysis for thirty-six journals and other publications i n neural networks research and related disciplines was conducted over three consecutive time periods spanning the years 1990 - early 1997. C luster analysis and MDS maps identified groupings representing foundat ion research areas (physics/optics, computer engineering, neuroscience , expert systems gi cognition, and perception) along with neural netwo rks and mathematical modeling of neural systems. Principal components analysis demonstrated a similar structure, with several journals and b ooks loading on a majority of the factors. An INDSCAL analysis showed an increasing separation between natural sciences/psychology and engin eering/neural networks research from the first time period to the thir d.