The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Intermittent search strategies
Open accessAbstract
This review examines intermittent target search strategies, which combine phases of slow motion, allowing the searcher to detect the target, and phases of fast motion during which targets cannot be detected. It is first shown that intermittent search strategies are actually widely observed at various scales. At the macroscopic scale, this is, for example, the case of animals looking for food; at the microscopic scale, intermittent transport patterns are involved in a reaction pathway of DNA-binding proteins as well as in intracellular transport. Second, generic stochastic models are introduced, which show that intermittent strategies are efficient strategies that enable the minimization of search time. This suggests that the intrinsic efficiency of intermittent search strategies could justify their frequent observation in nature. Last, beyond these modeling aspects, it is proposed that intermittent strategies could also be used in a broader context to design and accelerate search processes.
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
Emergence of Scaling in Random Networks
Barabási, A.-L., & Albert, R. (1999) · Science · doi:10.1126/science.286.5439.509 · Cited by 36,135
Reaction-rate theory: fifty years after Kramers
Hänggi, P., Talkner, P., & Borkovec, M. (1990) · Reviews of Modern Physics · doi:10.1103/revmodphys.62.251 · Cited by 6,154
Optimal foraging, the marginal value theorem
Charnov, E. L. (1976) · Theoretical Population Biology · doi:10.1016/0040-5809(76)90040-x · Cited by 5,374
‘Infotaxis’ as a strategy for searching without gradients
Vergassola, M., Villermaux, E., & Shraiman, B. I. (2007) · Nature · doi:10.1038/nature05464 · Cited by 890
RESTRICTION AND MODIFICATION SYSTEMS
Wilson, G. G., & Murray, N. E. (1991) · Annual Review of Genetics · doi:10.1146/annurev.ge.25.120191.003101 · Cited by 714 · cited 1×
“…of the kinetics of such search processes between reaction partners can be illustrated by the bacterial restriction and modification system (Wilson and Murray, 1991), which involves couples of methyltransferase and restriction enzymes that recognize the same sequence on DNA (for example…”
BackgroundFujiwara, M., Sengupta, P., & McIntire, S. L. (2002) · Neuron · doi:10.1016/s0896-6273(02)01093-0 · Cited by 344
Probing the kinesin reaction cycle with a 2D optical force clamp
Block, S. M., Asbury, C. L., Shaevitz, J. W., & Lang, M. J. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0436709100 · Cited by 295
Cited by
Metzler, R., Jeon, J.-H., Cherstvy, A. G., & Barkai, E. (2014) · Phys. Chem. Chem. Phys. · doi:10.1039/c4cp03465a · Cited by 1,765
T cell migration, search strategies and mechanisms
Krummel, M. F., Bartumeus, F., & Gérard, A. (2016) · Nature Reviews Immunology · doi:10.1038/nri.2015.16 · Cited by 423
Behavioral diversity in microbes and low-dimensional phenotypic spaces
Jordan, D., Kuehn, S., Katifori, E., & Leibler, S. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1308282110 · Cited by 52
Tottori, T., & Kobayashi, T. J. (2025) · Physical Review Research · doi:10.1103/gvl6-cvby · Cited by 6
Theoretical Analysis of Resource-Induced Phase Transitions in Estimation Strategies
Tottori, T., & Kobayashi, T. J. (2026) · Physical Review Letters · doi:10.1103/5ynb-7k4v
Metadata
- Authors
- Bénichou, O., Loverdo, C., Moreau, M., & Voituriez, R.
- Venue
- Reviews of Modern Physics
- Publisher
- American Physical Society (APS)
- Published
- 2011-03-28
- Volume
- 83
- Issue
- 1
- Pages
- 81-129
- ISSN
- 0034-6861 (ISSN-L)
- 1539-0756
- OpenAlex
- W1994660545
- Cited by
- 765
- References
- 7
- FWCI
- 14.81
- Type
- journal article
- Language
- en
- Open access
- green
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: Intermittent search strategies. https://app.cochat.ai/papers/10.1103/revmodphys.83.81
- The paper
- Bénichou, O., Loverdo, C., Moreau, M., & Voituriez, R. (2011). Intermittent search strategies. Reviews of Modern Physics. https://doi.org/10.1103/revmodphys.83.81
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.