The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Interdisciplinarity in science: A tentative typology of disciplines and research areas
Open accessAbstract
Interdisciplinarity is considered the best way to face practical research topics since synergy between traditional disciplines has proved very fruitful. Studies on interdisciplinarity from all possible perspectives are increasingly demanded. Different interdisciplinarity measures have been used in case studies but, up to now, no general interdisciplinarity indicator useful for Science Policy purposes has been accepted. The bibliometric methodology presented here provides a general overview of all scientific disciplines, with special attention to their interrelation. This work aims to establish a tentative typology of disciplines and research areas according to their degree of interdisciplinarity. Interdisciplinarity is measured through a series of indicators based on Institute for Scientific Information (ISI) multi‐assignation of journals in subject categories. Research areas and categories are described according to the quantity of their links (number of related categories) and their quality (with close or distant categories, diversity, and strength of links). High levels of interrelations between categories are observed. Four different types of categories are found through cluster analysis. This differentiates “big” interdisciplinarity, which links distant categories, from “small” interdisciplinarity, in which close categories are related. The location of specific categories in the clusters is discussed.
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Cites
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How to normalize cooccurrence data? An analysis of some well‐known similarity measures
Eck, N. J. V., & Waltman, L. (2009) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.21075 · Cited by 966
Mapping the backbone of science
Boyack, K. W., Klavans, R., & Börner, K. (2005) · Scientometrics · doi:10.1007/s11192-005-0255-6 · Cited by 937
Is science becoming more interdisciplinary? Measuring and mapping six research fields over time
Porter, A. L., & Rafols, I. (2009) · Scientometrics · doi:10.1007/s11192-008-2197-2 · Cited by 785
Wagner, C. S., Roessner, J. D., Bobb, K., Klein, J. T., Boyack, K. W., Keyton, J., Rafols, I., & Börner, K. (2011) · Journal of Informetrics · doi:10.1016/j.joi.2010.06.004 · Cited by 769
Diversity and network coherence as indicators of interdisciplinarity: case studies in bionanoscience
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Metadata
- Authors
- Morillo, F., Bordons, M., & Gómez, I.
- Venue
- Journal of the American Society for Information Science and Technology
- Publisher
- Wiley
- Published
- 2003-07-08
- Volume
- 54
- Issue
- 13
- Pages
- 1237-1249
- ISSN
- 1532-2882 (ISSN-L)
- 1532-2890
- OpenAlex
- W2115825262
- Cited by
- 305
- References
- 21
- FWCI
- 6.33
- Type
- journal article
- Language
- en
- Open access
- green
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.