Journal article
Contrasting Assessments of Interdisciplinarity in Emerging Specialties: The Case of Neural Networks Research
Knowledge (Beverly Hills, Calif.), v 15(3), pp 285-306
Mar 1994
Abstract
The degree of interdiseiplinarity observed in the analysis of a research literature can depend on the analytical approach Subject assignments of highly cited journals and those frequently publishing topic-relevant articles are compared with data from a recent survey of neural networks researchers. Publication subject patterns parallel the survey results-concentrating heavily in the physical sciences and engineering-while the biological and psychological literature is more visible in citation patterns This finding may reflect both discipline-specific differences in size and publishing patterns and cross-boundary problems in the perceived usefulness of and access to published information.
Metrics
Details
- Title
- Contrasting Assessments of Interdisciplinarity in Emerging Specialties
- Creators
- Katherine W. McCain - Drexel UniversityP.Joy Whitney - Drexel University
- Publication Details
- Knowledge (Beverly Hills, Calif.), v 15(3), pp 285-306
- Publisher
- Sage
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- [Retired Faculty]
- Web of Science ID
- WOS:A1994MZ26400003
- Scopus ID
- 2-s2.0-84970720274
- Other Identifier
- 991019173975004721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Social Sciences, Interdisciplinary