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Cited by 970

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Forty-five years of Journal of Business Research: A bibliometric analysis

Donthu, Naveen, Kumar, Satish, Pattnaik, Debidutta·2020·Journal of Business Research

Abstract

Abstract Journal of Business Research (JBR) is a journal of international repute that publishes original, peer-reviewed, and empirical research in business and management. Key business decisions, processes, and activities within real business settings frequently feature in JBR articles. The journal reached its 45th year of publishing in 2017. Using bibliometric techniques, we analyze the journal’s impact, its prominent topics, and its most prolific authors, including their affiliated institutions and countries. Using network analysis in VOSviewer software, we group JBR publications into six clusters. Through Gephi software, the findings depict the co-authorship and bibliographic couplings of authors and their affiliated institutions and countries, co-citations of journals, and co-occurrence of author-specified keywords.

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Metadata

Authors
Donthu, N., Kumar, S., & Pattnaik, D.
Venue
Journal of Business Research
Publisher
Elsevier BV
Published
2020-03
Volume
109
Pages
1-14
ISSN
0148-2963 (ISSN-L)
OpenAlex
W2990450011
Cited by
970
References
9
FWCI
49.24
Type
journal article
Language
en
Open access
closed

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This page
CoChat. (2026). Citation check: Forty-five years of Journal of Business Research: A bibliometric analysis. https://app.cochat.ai/papers/10.1016/j.jbusres.2019.10.039
The paper
Donthu, N., Kumar, S., & Pattnaik, D. (2020). Forty-five years of Journal of Business Research: A bibliometric analysis. Journal of Business Research. https://doi.org/10.1016/j.jbusres.2019.10.039

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.