The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Popular and/or prestigious? Measures of scholarly esteem
Open accessAbstract
Citation analysis does not generally take the quality of citations into account: all citations are weighted equally irrespective of source. However, a scholar may be highly cited but not highly regarded: popularity and prestige are not identical measures of esteem. In this study we define popularity as the number of times an author is cited and prestige as the number of times an author is cited by highly cited papers. Information retrieval (IR) is the test field. We compare the 40 leading researchers in terms of their popularity and prestige over time. Some authors are ranked high on prestige but not on popularity, while others are ranked high on popularity but not on prestige. We also relate measures of popularity and prestige to date of Ph.D. award, number of key publications, organizational affiliation, receipt of prizes/honors, and gender.
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Citations
Cites
An index to quantify an individual’s scientific research output
Hirsch, J. E. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0507655102 · Cited by 11,669
The structure of scientific collaboration networks
Newman, M. E. J. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.2.404 · Cited by 4,482
Authoritative sources in a hyperlinked environment
Kleinberg, J. M. (1998) · Symposium on Discrete Algorithms · doi:10.5555/314613.315045 · Cited by 1,814
How popular is your paper? An empirical study of the citation distribution
Redner, S. (1998) · The European Physical Journal B · doi:10.1007/s100510050359 · Cited by 1,509
Visualizing a discipline: An author co‐citation analysis of information science, 1972–1995
White, H. D., & McCain, K. W. (1998) · Journal of the American Society for Information Science · doi:10.1002/(sici)1097-4571(19980401)49:4<327::aid-asi4>3.0.co;2-w · Cited by 1,257
Meho, L. I., & Yang, K. (2007) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.20677 · Cited by 974
From the Cover: The structure of scientific collaboration networks
Newman, M. E. J. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.021544898 · Cited by 837
Journal impact factor: a brief review.
Garfield, E. (1999) · Europe PMC (PubMed Central) · Cited by 755
Pinski, G., & Narin, F. (1976) · Information Processing & Management · doi:10.1016/0306-4573(76)90048-0 · Cited by 597
A Principal Component Analysis of 39 Scientific Impact Measures
Bollen, J., Van de Sompel, H., Hagberg, A., & Chute, R. (2009) · PLoS ONE · doi:10.1371/journal.pone.0006022 · Cited by 572
Cited by
Green supply chain management: A review and bibliometric analysis
Fahimnia, B., Sarkis, J., & Davarzani, H. (2015) · International Journal of Production Economics · doi:10.1016/j.ijpe.2015.01.003 · Cited by 2,131
Big Data and supply chain management: A review and bibliometric analysis
Mishra, D., Gunasekaran, A., Papadopoulos, T., & Childe, S. J. (2018) · Annals of Operations Research · doi:10.1007/s10479-016-2236-y · Cited by 382
Kumar, S., Lim, W. M., Sivarajah, U., & Kaur, J. (2022) · Information Systems Frontiers · doi:10.1007/s10796-022-10279-0 · Cited by 359
Blockchain applications in management: A bibliometric analysis and literature review
Tandon, A., Kaur, P., Mäntymäki, M., & Dhir, A. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.120649 · Cited by 312
Citation-Based Journal Rankings: Key Questions, Metrics, and Data Sources
Walters, W. H. (2017) · IEEE Access · doi:10.1109/access.2017.2761400 · Cited by 56
Metadata
- Authors
- Ding, Y., & Cronin, B.
- Venue
- Information Processing & Management
- Publisher
- Elsevier BV
- Published
- 2011-01
- Volume
- 47
- Issue
- 1
- Pages
- 80-96
- ISSN
- 0020-0271 (ISSN-L)
- 0306-4573
- OpenAlex
- W2095727324
- Cited by
- 317
- References
- 34
- FWCI
- 5.29
- Type
- journal article
- Language
- en
- Open access
- green
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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.
Statistics and arithmetic are recomputed, not judged.
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- CoChat. (2026). Citation check: Popular and/or prestigious? Measures of scholarly esteem. https://app.cochat.ai/papers/10.1016/j.ipm.2010.01.002
- The paper
- Ding, Y., & Cronin, B. (2011). Popular and/or prestigious? Measures of scholarly esteem. Information Processing & Management. https://doi.org/10.1016/j.ipm.2010.01.002
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.