The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Design explorations of performance driven geometry in architectural design using parametric modeling and genetic 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
Cites
Dilemmas in a general theory of planning
Rittel, H. W. J., & Webber, M. M. (1973) · Policy Sciences · doi:10.1007/bf01405730 · Cited by 16,338 · cited 1×
“Among the argumentative process models, Rittel and Webber [81] developed the Issue-Based Information System method for organizing and documenting design discussions in a quasi-hierarchical system of question answering.”
Method
Cited by
Baduge, S. K., Thilakarathna, S., Perera, J. S., Arashpour, M., Sharafi, P., Teodosio, B., Shringi, A., & Mendis, P. (2022) · Automation in Construction · doi:10.1016/j.autcon.2022.104440 · Cited by 1,007
“Many applications of these optimization algorithms in building form generation [29], façade design [30], energy efficient architectural design [31], floor plan generation [32] can be found in previous literature.”
BackgroundAttia, S., Hamdy, M., O’Brien, W., & Carlucci, S. (2013) · Energy and Buildings · doi:10.1016/j.enbuild.2013.01.016 · Cited by 454
Méndez Echenagucia, T., Capozzoli, A., Cascone, Y., & Sassone, M. (2015) · Applied Energy · doi:10.1016/j.apenergy.2015.04.090 · Cited by 324
Tian, Z., Zhang, X., Jin, X., Zhou, X., Si, B., & Shi, X. (2018) · Energy and Buildings · doi:10.1016/j.enbuild.2017.11.022 · Cited by 257
Dream Lens: Exploration and Visualization of Large-Scale Generative Design Datasets
Matejka, J., Glueck, M., Bradner, E., Hashemi, A., Grossman, T., & Fitzmaurice, G. (2018) · Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3173574.3173943 · Cited by 144
Metadata
- Authors
- Turrin, M., von Buelow, P., & Stouffs, R.
- Venue
- Advanced Engineering Informatics
- Publisher
- Elsevier BV
- Published
- 2011-10
- Volume
- 25
- Issue
- 4
- Pages
- 656-675
- ISSN
- 1474-0346 (ISSN-L)
- OpenAlex
- W2147241601
- Cited by
- 400
- References
- 1
- FWCI
- 330.28
- 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: Design explorations of performance driven geometry in architectural design using parametric modeling and genetic algorithms. https://app.cochat.ai/papers/10.1016/j.aei.2011.07.009
- The paper
- Turrin, M., von Buelow, P., & Stouffs, R. (2011). Design explorations of performance driven geometry in architectural design using parametric modeling and genetic algorithms. Advanced Engineering Informatics. https://doi.org/10.1016/j.aei.2011.07.009
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.
