The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Tracking and predicting growth areas in science
Open accessAbstract
SummaryWe explore the possibility of using co-citation clusters over three time periods to track the emergence and growth of research areas, and predict their near term change. Data sets are from three overlapping six-year periods: 1996-2001, 1997-2002 and 1998-2003. The methodologies of co-citation clustering, mapping, and string formation are reviewed, and a measure of cluster currency is defined as the average age of highly cited papers relative to the year span of the data set. An association is found between the currency variable in a prior period and the percentage change in cluster size and citation frequency in the following period. The conflating factor of “single-issue clusters” is discussed and dealt with using a new metric called in-group citation.
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Citations
Cites
Garfield, E. (1972) · Science · doi:10.1126/science.178.4060.471 · Cited by 2,788
de Solla Price, D. J., & Page, T. (1961) · American Journal of Physics · doi:10.1119/1.1937650 · Cited by 444
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Aria, M., & Cuccurullo, C. (2017) · Journal of Informetrics · doi:10.1016/j.joi.2017.08.007 · Cited by 16,064
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Chiarello, F., Trivelli, L., Bonaccorsi, A., & Fantoni, G. (2018) · Computers in Industry · doi:10.1016/j.compind.2018.04.006 · Cited by 230
Wörfel, P., Frentz, F., & Tautu, C. (2022) · European Journal of Marketing · doi:10.1108/ejm-07-2020-0510 · Cited by 84
GALVEZ, C. (2018) · Transinformação · doi:10.1590/2318-08892018000300001 · Cited by 68
He, X., & Liu, Y. (2024) · Expert Systems with Applications · doi:10.1016/j.eswa.2023.121801 · Cited by 53
Metadata
- Authors
- Small, H.
- Venue
- Scientometrics
- Published
- 2006-09
- Volume
- 68
- Issue
- 3
- Pages
- 595-610
- ISSN
- 0138-9130 (ISSN-L)
- 1588-2861
- OpenAlex
- W2052710775
- Cited by
- 280
- References
- 2
- FWCI
- 14.30
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Small, H. (2006). Tracking and predicting growth areas in science. Scientometrics. https://doi.org/10.1007/s11192-006-0132-y
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.
