Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 472

The DOI matches its Crossref record; 115 of the 115 references it cites were found in a registry or an index.

Gecko‐Inspired Surfaces: A Path to Strong and Reversible Dry Adhesives

Boesel, Luciano F., Greiner, Christian, Arzt, Eduard, del Campo, Aránzazu·2010·Advanced Materials

Abstract

The amazing adhesion of gecko pads to almost any kind of surfaces has inspired a very active research direction over the last decade: the investigation of how geckos achieve this feat and how this knowledge can be turned into new strategies to reversibly join surfaces. This article reviews the fabrication approaches used so far for the creation of micro‐ and nanostructured fibrillar surfaces with adhesive properties. In the light of the pertinent contact mechanics, the adhesive properties are presented and discussed. The decisive design parameters are fiber radius and aspect ratio, tilt angle, hierarchical arrangement and the effect of the backing layer. Also first responsive systems that allow thermal switching between nonadhesive and adhesive states are described. These structures show a high potential of application, providing the remaining issues of robustness, reliability, and large‐area manufacture can be solved.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/adma.200903200

Cites

115 of 115 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 115 references

Cited by

See all 472

Metadata

Authors
Boesel, L. F., Greiner, C., Arzt, E., & del Campo, A.
Venue
Advanced Materials
Publisher
Wiley
Published
2010-05-12
Volume
22
Issue
19
Pages
2125-2137
ISSN
  • 0935-9648 (ISSN-L)
  • 1521-4095
OpenAlex
W2061600736
Cited by
472
References
115
FWCI
54.45
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: Gecko‐Inspired Surfaces: A Path to Strong and Reversible Dry Adhesives. https://app.cochat.ai/papers/10.1002/adma.200903200
The paper
Boesel, L. F., Greiner, C., Arzt, E., & del Campo, A. (2010). Gecko‐Inspired Surfaces: A Path to Strong and Reversible Dry Adhesives. Advanced Materials. https://doi.org/10.1002/adma.200903200

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.