Some predictors of SMJ article impact
Abstract
Article impact is becoming an increasingly popular metric for assessing a scholar's influence, yet little is known about its properties or the factors that affect it. This study tests whether author, article, and methodological attributes influence the impact of SMJ articles, defined as summed counts of article citations. Findings reveal that authors having fewer, more‐often cited articles tended to have SMJ articles that received the most citations. In addition, whether an article appears in a regular or a special issue is not a stable predictor of its impact. Moreover, empirical articles that test primary data, control for more threats to internal validity, and have higher statistical power tend to receive more citations. Further, an article's long‐term impact oftentimes becomes apparent shortly after its publication. Overall, the findings provide new insights into the determinants of impact and its temporal qualities and help explain some of the differences between high and average impact articles. The findings also underscore the need for transparency between author publication strategies (article volume, impact) and the requirements of his/her institution. Implications for authors, reviewers, editors, and administrative evaluation are offered. Copyright © 2005 John Wiley & Sons, Ltd.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Older articles had more time to collect citations than younger articles.
“Older articles had more time to collect citations than younger articles (Bergh et al., 2006; Judge et al., 2007).”
From Unraveling scientific impact: Citation types in marketing journals (2015) · cites this paper as Bergh et al., 2006
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A snapshot of strategy research 2002‐2006
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Linking Local and Global Sustainability
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Twenty-five years of career growth literature: a review and research agenda
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The value of experience in research
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Ruiz-Conde, E., & Calderón-Martínez, A. (2013) · Scientometrics · doi:10.1007/s11192-013-1159-5 · Cited by 15 · see citing works
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Paphawasit, B., & Wudhikarn, R. (2022) · Administrative Sciences · doi:10.3390/admsci12020071 · Cited by 19 · see citing works
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An analysis of globalisation in international business research 1993–2018: rise of the sceptics
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Research on sharing economy: why are some articles more cited than others?
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A New Tool for Identifying Research Standards and Evaluating Research Performance
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- Authors
- Bergh, D. D., Perry, J., & hanke, R.
- Affiliations
- Purdue University West Lafayette (US)
- Wichita State University (US)
- Bowling Green State University (US)
- Corresponding author
- Bergh, Donald D.
- ORCID
- Bergh, Donald D.
- Venue
- Strategic Management Journal
- Publisher
- Wiley
- Published
- 2005-11-21
- Volume
- 27
- Issue
- 1
- Pages
- 81-100
- ISSN
- 0143-2095 (ISSN-L)
- 1097-0266
- OpenAlex
- W1834892272
- Cited by
- 148
- References
- 52
- Citations by year
- 2026: 3 · 2025: 6 · 2024: 8 · 2023: 5 · 2022: 4 · 2021: 9 · 2020: 7 · 2019: 5 · 2018: 6 · 2017: 7 · 2016: 10 · 2015: 13 · 2014: 11 · 2013: 7 · 2012: 6
- FWCI
- 6.55
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Strategic Management Journal (publishedVersion)
- Funders
- Pennsylvania State University
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › scientometrics and bibliometrics research
- Social Sciences › Arts and Humanities › History and Philosophy of Science › Academic Writing and Publishing
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Psychology Research and Bibliometrics
- Keywords
- article impact, citation counts, scholarly impact, special issue, empirical research design, statistical power, internal validity, publishing strategy, academic assessment
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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