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Dictionary of Bibliometrics
Abstract
Everything you need to know about Bibliometrics in a convenient, easy-to-use, mini-encyclopedia of terms and phrases!Bibliometrics, the application of mathematical and statistical techniques to the study of publishing and professional communication, is a helpful science to master in many fields. The Dictionary of Bibliometrics contains 225 non-technical definitions of key terms and phrases that will aid all who deal with this science. Each entry is briefly defined in everyday language with simple numerical examples and is followed by sample references that direct the reader to more detailed information about the entry. This is the only source with a substantial collection of bibliometric terms located in one comprehensive, easy-to-use book.Librarians who use bibliometrics to evaluate their collections, information scientists who study the theoretical aspects of bibliometrics, and subject specialists who use bibliometrics to study communication in their respective fields will save time by finding hundreds of definitions in this one-of-a-kind volume. Some of the topics covered in the Dictionary of Bibliometrics include: descriptions and examples of Bradford’s law, Lotka’s law, and Zipf’s law various aspects of citation analysis application of bibliometrics to the study of communication in the physical and natural sciences reports of journal analyses accounts of several ways to study the obsolescence or disuse of articles in a given subject fieldThis tool will serve anyone working or interested in the fields of publishing and professional communication. Included in the text are suggested sources of further information and an index of personal names. The Dictionary of Bibliometrics is a valuable, handy resource that you’ll refer to again and again!
Overview
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Citations
Cited by
bibliometrix: An R-tool for comprehensive science mapping analysis
Aria, M., & Cuccurullo, C. (2017) · Journal of Informetrics · doi:10.1016/j.joi.2017.08.007 · Cited by 16,064
Ramos‐Rodríguez, A., & Ruíz‐Navarro, J. (2004) · Strategic Management Journal · doi:10.1002/smj.397 · Cited by 1,626
Scholarly communication and bibliometrics
Borgman, C. L., & Furner, J. (2002) · Annual Review of Information Science and Technology · doi:10.1002/aris.1440360102 · Cited by 1,121
An overview of the literature on technology roadmapping (TRM): Contributions and trends
Carvalho, M. M., Fleury, A., & Lopes, A. P. (2013) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2012.11.008 · Cited by 477
Metadata
- Authors
- Diodato, V. P., & Gellatly, P.
- Venue
- Routledge eBooks
- Publisher
- Routledge
- Published
- 2013-01-11
- OpenAlex
- W192816456
- Cited by
- 399
- References
- 0
- FWCI
- 15.84
- Type
- book
- 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: Dictionary of Bibliometrics. https://app.cochat.ai/papers/10.4324/9780203714133
- The paper
- Diodato, V. P., & Gellatly, P. (2013). Dictionary of Bibliometrics. Routledge eBooks. https://doi.org/10.4324/9780203714133
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.