The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Forty years of Computers & Industrial Engineering: A bibliometric analysis
Open accessAbstract
Abstract Computers & Industrial Engineering (CIE) is a leading international journal in the field of industrial engineering, whose first issue was published in 1976. Motivated by its 40th anniversary in 2016, this study aims to develop a bibliometric analysis of the publications of the journal between 1976 and 2015. The objective is to identify the leading trends of the journal in terms of impact, topics, universities and countries. In doing so, the work uses the Web of Science Core Collection database to analyze the bibliometric data. Additionally, the work also uses the visualization of similarities (VOS) viewer software to map graphically the bibliographic material. The graphical analysis uses bibliographic coupling, co-citation, citation, co-authorship and co-occurrence of keywords. This paper also offers an editorial perspective of the journal’s policy, editorial process, and performance progress.
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Cites
Software survey: VOSviewer, a computer program for bibliometric mapping
van Eck, N. J., & Waltman, L. (2010) · Scientometrics · doi:10.1007/s11192-009-0146-3 · Cited by 21,484
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Metadata
- Authors
- Cancino, C., Merigó, J. M., Coronado, F., Dessouky, Y., & Dessouky, M.
- Venue
- Computers & Industrial Engineering
- Publisher
- Elsevier BV
- Published
- 2017-11
- Volume
- 113
- Pages
- 614-629
- ISSN
- 0360-8352 (ISSN-L)
- OpenAlex
- W2751427740
- Cited by
- 330
- References
- 1
- FWCI
- 27.44
- Type
- journal article
- Language
- en
- Open access
- green
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- Cancino, C., Merigó, J. M., Coronado, F., Dessouky, Y., & Dessouky, M. (2017). Forty years of Computers & Industrial Engineering: A bibliometric analysis. Computers & Industrial Engineering. https://doi.org/10.1016/j.cie.2017.08.033
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.
