The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
The pivot algorithm: A highly efficient Monte Carlo method for the self-avoiding walk
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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
Spectral Analysis and Time Series
Preston, D. B. (1983) · Technometrics · doi:10.1080/00401706.1983.10487866 · Cited by 5,011
An Introduction to Probability Theory.
Fristedt, B., & Moran, P. A. P. (1986) · Journal of the American Statistical Association · doi:10.2307/2288022 · Cited by 3,300
Kemeny, J. G., & Snell, J. L. (1976) · Medical Entomology and Zoology · Cited by 2,813
Non-negative Matrices and Markov Chains
Seneta, E. (1981) · Springer Series in Statistics · doi:10.1007/0-387-32792-4 · Cited by 2,807
The Statistical Analysis of Time Series.
Anderson, T. W. (1995) · Biometrics · doi:10.2307/2532976 · Cited by 2,017
Group Theory and its Applications to Physical Problems
Hamermesh, M., & Mullin, A. A. (1962) · American Journal of Physics · doi:10.1119/1.1941790 · Cited by 1,725
An Introduction to Probability Theory and Its Applications, Vol. 2
Feller, W., & Teichmann, T. (1967) · Physics Today · doi:10.1063/1.3034322 · Cited by 1,280
The Statistical Analysis of Time Series.
Priestley, M. B., & Anderson, T. W. (1972) · Journal of the Royal Statistical Society. Series A (General) · doi:10.2307/2344686 · Cited by 1,269
Phase Transitions and Critical Phenomena Vol 2
Gray, P. (1973) · Physics Bulletin · doi:10.1088/0031-9112/24/5/042 · Cited by 1,132
Cited by
Novel scheme to study structural and thermal properties of continuously deformable molecules
Frenkel, D., Mooij, G. C. A. M., & Smit, B. (1992) · Journal of Physics: Condensed Matter · doi:10.1088/0953-8984/4/12/006 · Cited by 462
Beliveau, B. J., Boettiger, A. N., Avendaño, M. S., Jungmann, R., McCole, R. B., Joyce, E. F., Kim-Kiselak, C., Bantignies, F., Fonseka, C. Y., Erceg, J., et al. (2015) · Nature Communications · doi:10.1038/ncomms8147 · Cited by 384
Dynamics of n-alkanes: Comparison to Rouse model
Mondello, M., Grest, G. S., Webb, E. B., & Peczak, P. (1998) · The Journal of Chemical Physics · doi:10.1063/1.476619 · Cited by 118
Machine learning action parameters in lattice quantum chromodynamics
Shanahan, P. E., Trewartha, D., & Detmold, W. (2018) · Physical Review D · doi:10.1103/physrevd.97.094506 · Cited by 65
Polymer physics by quantum computing
Micheletti, C., Hauke, P., & Faccioli, P. (2021) · Physical Review Letters · doi:10.1103/physrevlett.127.080501 · Cited by 48
Metadata
- Authors
- Madras, N., & Sokal, A. D.
- Venue
- Journal of Statistical Physics
- Published
- 1988-01
- Volume
- 50
- Issue
- 1-2
- Pages
- 109-186
- ISSN
- 0022-4715 (ISSN-L)
- 1572-9613
- OpenAlex
- W2131404542
- Cited by
- 939
- References
- 36
- FWCI
- 9.92
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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- CoChat. (2026). Citation check: The pivot algorithm: A highly efficient Monte Carlo method for the self-avoiding walk. https://app.cochat.ai/papers/10.1007/bf01022990
- The paper
- Madras, N., & Sokal, A. D. (1988). The pivot algorithm: A highly efficient Monte Carlo method for the self-avoiding walk. Journal of Statistical Physics. https://doi.org/10.1007/bf01022990
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.
