, Volume 41, Issue 3, pp 389–410 | Cite as

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

  • Katherine W. McCain


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.


Neural Network Neural System Mathematical Bioscience Consecutive Time Period Cocitation Analysis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Akadémiai Kiadó 1998

Authors and Affiliations

  • Katherine W. McCain
    • 1
  1. 1.College of Information Science & TechnologyDrexel UniversityPhiladelphia(USA)

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