The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
Predicting driver drowsiness using vehicle measures: Recent insights and future challenges
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Citations
Cites
Klauer, S. G., Dingus, T. A., Neale, V. L., Sudweeks, J. D., & Ramsey, D. J. (2006) · PsycEXTRA Dataset · doi:10.1037/e729262011-001 · Cited by 1,669
A critical review of the psychophysiology of driver fatigue
Lal, S. K. L., & Craig, A. (2001) · Biological Psychology · doi:10.1016/s0301-0511(00)00085-5 · Cited by 1,001
Sleep related vehicle accidents
Horne, J. A., & Reyner, L. A. (1995) · BMJ · doi:10.1136/bmj.310.6979.565 · Cited by 908
Monotony of road environment and driver fatigue: a simulator study
Thiffault, P., & Bergeron, J. (2003) · Accident Analysis & Prevention · doi:10.1016/s0001-4575(02)00014-3 · Cited by 695
Modeling Driver Behavior in a Cognitive Architecture
Salvucci, D. D. (2006) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1518/001872006777724417 · Cited by 551
Driving simulator validation for speed research
Godley, S. T., Triggs, T. J., & Fildes, B. N. (2002) · Accident Analysis & Prevention · doi:10.1016/s0001-4575(01)00056-2 · Cited by 499
Which parts of the road guide steering?
Land, M., & Horwood, J. (1995) · Nature · doi:10.1038/377339a0 · Cited by 411
Fatigue, sleep restriction and driving performance
Philip, P., Sagaspe, P., Moore, N., Taillard, J., Charles, A., Guilleminault, C., & Bioulac, B. (2005) · Accident Analysis & Prevention · doi:10.1016/j.aap.2004.07.007 · Cited by 389
Evaluation of driver drowsiness by trained raters
Wierwille, W. W., & Ellsworth, L. A. (1994) · Accident Analysis & Prevention · doi:10.1016/0001-4575(94)90019-1 · Cited by 379
INGRE, M., ÅKERSTEDT, T., PETERS, B., ANUND, A., & KECKLUND, G. (2006) · Journal of Sleep Research · doi:10.1111/j.1365-2869.2006.00504.x · Cited by 361
Cited by
Towards Detection of Bus Driver Fatigue Based on Robust Visual Analysis of Eye State
Mandal, B., Li, L., Wang, G. S., & Lin, J. (2017) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2016.2582900 · Cited by 328
Automatic detection of drowsiness in EEG records based on multimodal analysis
Garcés Correa, A., Orosco, L., & Laciar, E. (2014) · Medical Engineering & Physics · doi:10.1016/j.medengphy.2013.07.011 · Cited by 275
WONG, I. S., POPKIN, S., & FOLKARD, S. (2019) · Industrial Health · doi:10.2486/indhealth.sw-6 · Cited by 88
Metadata
- Authors
- Liu, C. C., Hosking, S. G., & Lenné, M. G.
- Venue
- Journal of Safety Research
- Publisher
- Elsevier BV
- Published
- 2009-08
- Volume
- 40
- Issue
- 4
- Pages
- 239-245
- ISSN
- 0022-4375 (ISSN-L)
- OpenAlex
- W1996754940
- Cited by
- 272
- References
- 35
- FWCI
- 11.25
- 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.
Statistics and arithmetic are recomputed, not judged.
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- CoChat. (2026). Citation check: Predicting driver drowsiness using vehicle measures: Recent insights and future challenges. https://app.cochat.ai/papers/10.1016/j.jsr.2009.04.005
- The paper
- Liu, C. C., Hosking, S. G., & Lenné, M. G. (2009). Predicting driver drowsiness using vehicle measures: Recent insights and future challenges. Journal of Safety Research. https://doi.org/10.1016/j.jsr.2009.04.005
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.
