The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.
Scaling, Universality, and Geomorphology
Abstract
Theories of scaling apply wherever similarity exists across many scales. This similarity may be found in geometry and in dynamical processes. Universality arises when the qualitative character of a system is sufficient to quantitatively predict its essential features, such as the exponents that characterize scaling laws. Within geomorphology, two areas where the concepts of scaling and universality have found application are the geometry of river networks and the statistical structure of topography. We begin this review with a pedagogical presentation of scaling and universality. We then describe recent progress made in applying these ideas to networks and topography. This overview leads to a synthesis that attempts a classification of surface and network properties based on generic mechanisms and geometric constraints. We also briefly review how scaling and universality have been applied to related problems in sedimentology—specifically, the origin of stromatolites and the relation of the statistical properties of submarine-canyon topography to the size distribution of turbidite deposits. Throughout the review, our intention is to elucidate not only the problems that can be solved using these concepts, but also those that cannot.
Overview
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.
Integrity signals
Registry
Cites
Statistics
Verification
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.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
An introduction to probability theory and its applications
(1958) · Journal of the Franklin Institute · doi:10.1016/0016-0032(58)90688-4 · Cited by 29,269
The Fractal Geometry of Nature
Mandelbrot, B. B., & Wheeler, J. A. (1983) · American Journal of Physics · doi:10.1119/1.13295 · Cited by 21,832
Introduction to Percolation Theory
Stauffer, D., Aharony, A., & Redner, S. (1993) · Physics Today · doi:10.1063/1.2808877 · Cited by 6,666
HORTON, R. E. (1945) · Geological Society of America Bulletin · doi:10.1130/0016-7606(1945)56[275:edosat]2.0.co;2 · Cited by 6,221
Quantitative analysis of watershed geomorphology
(1957) · Eos, Transactions American Geophysical Union · doi:10.1029/tr038i006p00913 · Cited by 5,959
Dynamic Scaling of Growing Interfaces
Kardar, M., Parisi, G., & Zhang, Y.-C. (1986) · Physical Review Letters · doi:10.1103/physrevlett.56.889 · Cited by 5,380
The renormalization group and the ε expansion
Wilson, K. (1974) · Physics Reports · doi:10.1016/0370-1573(74)90023-4 · Cited by 5,179
(1998) · doi:10.1142/3481 · Cited by 4,436
Fractal Concepts in Surface Growth
Barabási, A. L., & Stanley, H. E. (1995) · doi:10.1017/cbo9780511599798 · Cited by 3,925 · cited 7×
“For onedimensional surfaces, such as the transects of Figure 3, a 4 1/2 and z 4 2 (Edwards & Wilkinson 1982, Family 1986, Barabasi & Stanley 1995).”
BackgroundMethodInfluentialHandbook of Stochastic Methods for Physics, Chemistry and the Natural Sciences
Gardiner, C. W. (1985) · Springer Series in Synergetics · doi:10.1007/978-3-662-02452-2 · Cited by 3,703
Cited by
Statistical mechanics of complex networks
Albert, R., & Barabási, A.-L. (2002) · Reviews of Modern Physics · doi:10.1103/revmodphys.74.47 · Cited by 20,471
Metadata
- Authors
- Dodds, P. S., & Rothman, D. H.
- Venue
- Annual Review of Earth and Planetary Sciences
- Publisher
- Annual Reviews
- Published
- 2000-05
- Volume
- 28
- Issue
- 1
- Pages
- 571-610
- ISSN
- 0084-6597 (ISSN-L)
- 1545-4495
- OpenAlex
- W2137338238
- Cited by
- 304
- References
- 53
- FWCI
- 1.46
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Scaling, Universality, and Geomorphology. https://app.cochat.ai/papers/10.1146/annurev.earth.28.1.571
- The paper
- Dodds, P. S., & Rothman, D. H. (2000). Scaling, Universality, and Geomorphology. Annual Review of Earth and Planetary Sciences. https://doi.org/10.1146/annurev.earth.28.1.571
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.