How popular is your paper? An empirical study of the citation distribution
Open accessThe claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
Empirical studies have shown that distributions of article citations are very skewed, even within single disciplines.
“The use of relative indicators is widespread, but empirical studies [19, 20, 21] have shown that distributions of article citations are very skewed, even within single disciplines.”
From Universality of citation distributions: Toward an objective measure of scientific impact (2008) · cites this paper as [19]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cited by
Sorted by citations
Emergence of Scaling in Random Networks
Barabási, A.-L., & Albert, R. (1999) · Science · doi:10.1126/science.286.5439.509 · Cited by 36,135 · see citing works
Community structure in social and biological networks
Girvan, M., & Newman, M. E. J. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.122653799 · Cited by 15,502 · see citing works
Finding and evaluating community structure in networks
Newman, M. E. J., & Girvan, M. (2004) · Physical Review E · doi:10.1103/physreve.69.026113 · Cited by 13,931 · see citing works
Error and attack tolerance of complex networks
Albert, R., Jeong, H., & Barabási, A.-L. (2000) · Nature · doi:10.1038/35019019 · Cited by 7,534 · see citing works
“In contrast, results on the world-wide web (www) [3–5], Internet [6] and other large networks [17–19] indicate that many systems belong to a class of inhomogeneous networks, referred to as scale-free networks , for which P ( k ) decays as a power-law, i.e.”
ResultDefining and identifying communities in networks
Radicchi, F., Castellano, C., Cecconi, F., Loreto, V., & Parisi, D. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0400054101 · Cited by 2,450 · see citing works
Hyperbolic geometry of complex networks
Krioukov, D., Papadopoulos, F., Kitsak, M., Vahdat, A., & Boguñá, M. (2010) · Physical Review E · doi:10.1103/physreve.82.036106 · Cited by 1,059 · see citing works
Competition and multiscaling in evolving networks
Bianconi, G., & Barabási, A.-L. (2001) · Europhysics Letters (EPL) · doi:10.1209/epl/i2001-00260-6 · Cited by 1,067 · see citing works
Broido, A. D., & Clauset, A. (2019) · Nature Communications · doi:10.1038/s41467-019-08746-5 · Cited by 875 · see citing works
Universality of citation distributions: Toward an objective measure of scientific impact
Radicchi, F., Fortunato, S., & Castellano, C. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0806977105 · Cited by 828 · see citing works
Bose-Einstein Condensation in Complex Networks
Bianconi, G., & Barabási, A.-L. (2001) · Physical Review Letters · doi:10.1103/physrevlett.86.5632 · Cited by 808 · see citing works
Popularity versus similarity in growing networks
Papadopoulos, F., Kitsak, M., Serrano, M. Á., Boguñá, M., & Krioukov, D. (2012) · Nature · doi:10.1038/nature11459 · Cited by 634 · see citing works
Finding scientific gems with Google’s PageRank algorithm
Chen, P., Xie, H., Maslov, S., & Redner, S. (2007) · Journal of Informetrics · doi:10.1016/j.joi.2006.06.001 · Cited by 483 · see citing works
Self-citationCitation Statistics from 110 Years of <i>Physical Review</i>
Redner, S. (2005) · Physics Today · doi:10.1063/1.1996475 · Cited by 426 · see citing works
Self-citationMason, W. A., Conrey, F. R., & Smith, E. R. (2007) · Personality and Social Psychology Review · doi:10.1177/1088868307301032 · Cited by 335 · see citing works
Size-dependent degree distribution of a scale-free growing network
Dorogovtsev, S. N., Mendes, J. F. F., & Samukhin, A. N. (2001) · Physical Review E · doi:10.1103/physreve.63.062101 · Cited by 311 · see citing works
Maximal planar networks with large clustering coefficient and power-law degree distribution
Zhou, T., Yan, G., & Wang, B.-H. (2005) · Physical Review E · doi:10.1103/physreve.71.046141 · Cited by 265 · see citing works
Simonton, D. K. (2010) · Physics of Life Reviews · doi:10.1016/j.plrev.2010.02.002 · Cited by 261 · see citing works
Power laws in citation distributions: evidence from Scopus
Brzezinski, M. (2015) · Scientometrics · doi:10.1007/s11192-014-1524-z · Cited by 196 · see citing works
Stochastic modeling of citation slips
Simkin, M. V., & Roychowdhury, V. P. (2005) · Scientometrics · doi:10.1007/s11192-005-0028-2 · Cited by 135 · see citing works
Fresh teams are associated with original and multidisciplinary research
Zeng, A., Fan, Y., Di, Z., Wang, Y., & Havlin, S. (2021) · Nature Human Behaviour · doi:10.1038/s41562-021-01084-x · Cited by 106 · see citing works
A mathematical theory of citing
Simkin, M. V., & Roychowdhury, V. P. (2007) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.20653 · Cited by 93 · see citing works
van der Vet, P. E., & Nijveen, H. (2016) · Research Integrity and Peer Review · doi:10.1186/s41073-016-0008-5 · Cited by 50 · see citing works
Citation Success Index − An Intuitive Pair-Wise Journal Comparison Metric
Milojević, S., Radicchi, F., & Bar-Ilan, J. (2017) · Journal of Informetrics · doi:10.1016/j.joi.2016.12.006 · Cited by 33 · see citing works
Thelwall, M. (2016) · Journal of Informetrics · doi:10.1016/j.joi.2016.04.014 · Cited by 36 · see citing works
Impact Factors and the Central Limit Theorem: Why Citation Averages Are Scale Dependent
Antonoyiannakis, M. (2018) · Journal of Informetrics · doi:10.1016/j.joi.2018.08.011 · Cited by 31 · see citing works
Systematic examination of pre‐ and post‐retraction citations
Dinh, L., Sarol, J., Cheng, Y., Hsiao, T., Parulian, N., & Schneider, J. (2019) · Proceedings of the Association for Information Science and Technology · doi:10.1002/pra2.35 · Cited by 23 · see citing works
- Authors
- Redner, S.
- Affiliations
- Boston University (US)
- Corresponding author
- Redner, S.
- ORCID
- Redner, S.
- Venue
- The European Physical Journal B
- Published
- 1998-08
- Volume
- 4
- Issue
- 2
- Pages
- 131-134
- ISSN
- 1434-6028 (ISSN-L)
- OpenAlex
- W2062021443
- Cited by
- 1,509
- References
- 0
- Citations by year
- 2026: 18 · 2025: 25 · 2024: 28 · 2023: 30 · 2022: 64 · 2021: 40 · 2020: 43 · 2019: 39 · 2018: 69 · 2017: 58 · 2016: 73 · 2015: 74 · 2014: 82 · 2013: 77 · 2012: 80
- FWCI
- 34.43
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- The European Physical Journal B (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- Springer Link (Chiba Institute of Technology) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- arXiv (Cornell University)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › scientometrics and bibliometrics research
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Psychology Research and Bibliometrics
- Physical Sciences › Computer Science › Information Systems › Web visibility and informetrics
- Keywords
- citation distribution, citation analysis, power-law decay, Zipf's law, scientific impact, Institute for Scientific Information, bibliometric analysis
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 ›
Are you an author, or do you see a problem with this page? Request a review
