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Neural networks research in context: A longitudinal journal cocitation analysis of an emerging interdisciplinary field

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Abstract

A cocitation analysis for thirty-six journals and other publications in neural networks research and related disciplines was conducted over three consecutive time periods spanning the years 1990-early 1997. Cluster analysis and MDS maps identified groupings representing foundation research areas (physics/optics, computer engineering, neuroscience, expert systems & cognition, and perception) along with neural networks and mathematical modeling of neural systems. Principal components analysis demonstrated a similar structure, with several journals and books loading on a majority of the factors. An INDSCAL analysis showed an increasing separation between natural sciences/psychology and engineering/neural networks research from the first time period to the third.

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  1. College of Information Science & Technology, Drexel University, 3141 Chestnut Street, 19104, Philadelphia, PA, (USA)

    Katherine W. McCain

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  1. Katherine W. McCain
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McCain, K.W. Neural networks research in context: A longitudinal journal cocitation analysis of an emerging interdisciplinary field. Scientometrics 41, 389–410 (1998). https://doi.org/10.1007/BF02459053

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