The DOI matches its Crossref record.
Data Structures and Algorithms
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
Cited by
Comparing images using the Hausdorff distance
Huttenlocher, D. P., Klanderman, G. A., & Rucklidge, W. J. (1993) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.232073 · Cited by 4,545
Robot Motion Planning: A Distributed Representation Approach
Barraquand, J., & Latombe, J.-C. (1991) · The International Journal of Robotics Research · doi:10.1177/027836499101000604 · Cited by 995
Working and organizing in the age of the learning algorithm
Faraj, S., Pachidi, S., & Sayegh, K. (2018) · Information and Organization · doi:10.1016/j.infoandorg.2018.02.005 · Cited by 929
Taming verification hardness: an efficient algorithm for testing subgraph isomorphism
Shang, H., Zhang, Y., Lin, X., & Yu, J. X. (2008) · Proceedings of the VLDB Endowment · doi:10.14778/1453856.1453899 · Cited by 401
Inductive Logic Programming At 30: A New Introduction
Cropper, A., & Dumančić, S. (2022) · Journal of Artificial Intelligence Research · doi:10.1613/jair.1.13507 · Cited by 83
Metadata
- Authors
- Wirth, N.
- Venue
- Scientific American
- Published
- 1984-09
- Volume
- 251
- Issue
- 3
- Pages
- 60-69
- ISSN
- 0036-8733 (ISSN-L)
- OpenAlex
- W4249958171
- Cited by
- 1,418
- References
- 0
- FWCI
- 50.18
- 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: Data Structures and Algorithms. https://app.cochat.ai/papers/10.1038/scientificamerican0984-60
- The paper
- Wirth, N. (1984). Data Structures and Algorithms. Scientific American. https://doi.org/10.1038/scientificamerican0984-60
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.