The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
New developments in the use of citation analysis in research evaluation
Abstract
This paper presents an overview of research assessment methodologies developed in the field of evaluative bibliometrics, a subfield of quantitative science and technology studies, aimed to construct indicators of research performance from a quantitative statistical analysis of scientific-scholarly documents. Citation analysis is one of its key methodologies. The paper illustrates the potentialities and limitations of the use of bibliometric indicators in research assessment. It discusses the relationship between metrics and peer review; databases used as sources of bibliometric analysis; the pros and cons of indicators often applied, including journal impact factors, Hirsch indices, and normalized indicators of citation impact; and approaches to the bibliometric measurement of institutional research performance.
Overview
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Citations
Cites
Garfield, E. (1972) · Science · doi:10.1126/science.178.4060.471 · Cited by 2,788 · cited 2×
“Their founder, Eugene Garfield, developed a powerful and unique criterion for expanding the database beyond the core of journals whose importance in a given field is obvious: the frequency at which journals are cited in those sources that are already included in the index (Garfield 1964; Garfield 1972; Garfield 1979).”
Background
Cited by
Fortunato, S., Bergstrom, C. T., Börner, K., Evans, J. A., Helbing, D., Milojević, S., Petersen, A. M., Radicchi, F., Sinatra, R., Uzzi, B., et al. (2018) · Science · doi:10.1126/science.aao0185 · Cited by 1,497
Digital twin application in the construction industry: A literature review
Opoku, D.-G. J., Perera, S., Osei-Kyei, R., & Rashidi, M. (2021) · Journal of Building Engineering · doi:10.1016/j.jobe.2021.102726 · Cited by 753
Li, J., Greenwood, D., & Kassem, M. (2019) · Automation in Construction · doi:10.1016/j.autcon.2019.02.005 · Cited by 665
Bibliometrics: Tracking Research Impact by Selecting the Appropriate Metrics
Agarwal, A., Durairajanayagam, D., Tatagari, S., Esteves, S., Harlev, A., Henkel, R., Roychoudhury, S., Homa, S., Puchalt, N., Ramasamy, R., et al. (2016) · Asian Journal of Andrology · doi:10.4103/1008-682x.171582 · Cited by 639
Virtual and remote labs in education: A bibliometric analysis
Heradio, R., de la Torre, L., Galan, D., Cabrerizo, F. J., Herrera-Viedma, E., & Dormido, S. (2016) · Computers & Education · doi:10.1016/j.compedu.2016.03.010 · Cited by 574
Metadata
- Authors
- Moed, H. F.
- Venue
- Archivum Immunologiae et Therapiae Experimentalis
- Publisher
- Walter de Gruyter GmbH
- Published
- 2009-02
- Volume
- 57
- Issue
- 1
- Pages
- 13-18
- ISSN
- 0004-069X (ISSN-L)
- 1661-4917
- OpenAlex
- W2012470677
- Cited by
- 505
- References
- 1
- FWCI
- 17.12
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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- CoChat. (2026). Citation check: New developments in the use of citation analysis in research evaluation. https://app.cochat.ai/papers/10.1007/s00005-009-0001-5
- The paper
- Moed, H. F. (2009). New developments in the use of citation analysis in research evaluation. Archivum Immunologiae et Therapiae Experimentalis. https://doi.org/10.1007/s00005-009-0001-5
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.
