The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Emotional sweating across the body: Comparing 16 different skin conductance measurement locations
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Cites
Russell, J. A. (1980) · Journal of Personality and Social Psychology · doi:10.1037/h0077714 · Cited by 16,334
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Looking at pictures: Affective, facial, visceral, and behavioral reactions
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A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions
Zeng, Z., Pantic, M., Roisman, G. I., & Huang, T. S. (2009) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2008.52 · Cited by 2,797
Toward machine emotional intelligence: analysis of affective physiological state
Picard, R. W., Vyzas, E., & Healey, J. (2001) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.954607 · Cited by 2,334
Dawson, M. E., Schell, A. M., Filion, D. L., & Berntson, G. G. (2009) · Handbook of Psychophysiology · doi:10.1017/cbo9780511546396.007 · Cited by 1,720
Publication Recommendations for Electrodermal Measurements
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A continuous measure of phasic electrodermal activity
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A Wearable Sensor for Unobtrusive, Long-Term Assessment of Electrodermal Activity
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A Wearable Hydration Sensor with Conformal Nanowire Electrodes
Yao, S., Myers, A., Malhotra, A., Lin, F., Bozkurt, A., Muth, J. F., & Zhu, Y. (2017) · Advanced Healthcare Materials · doi:10.1002/adhm.201601159 · Cited by 213
Dieffenderfer, J., Goodell, H., Mills, S., McKnight, M., Yao, S., Lin, F., Beppler, E., Bent, B., Lee, B., Misra, V., et al. (2016) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2016.2573286 · Cited by 212
Stressing the accuracy: Wrist‐worn wearable sensor validation over different conditions
Menghini, L., Gianfranchi, E., Cellini, N., Patron, E., Tagliabue, M., & Sarlo, M. (2019) · Psychophysiology · doi:10.1111/psyp.13441 · Cited by 157
A Flexible and Wearable Human Stress Monitoring Patch
Yoon, S., Sim, J. K., & Cho, Y.-H. (2016) · Scientific Reports · doi:10.1038/srep23468 · Cited by 151
Quantitative analysis of wrist electrodermal activity during sleep
Sano, A., Picard, R. W., & Stickgold, R. (2014) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2014.09.011 · Cited by 141
Breaking The Experience: Effects of Questionnaires in VR User Studies
Putze, S., Alexandrovsky, D., Putze, F., Höffner, S., Smeddinck, J. D., & Malaka, R. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376144 · Cited by 138
Kleckner, I. R., Jones, R. M., Wilder-Smith, O., Wormwood, J. B., Akcakaya, M., Quigley, K. S., Lord, C., & Goodwin, M. S. (2018) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2017.2758643 · Cited by 121
Comparison of Wearable and Clinical Devices for Acquisition of Peripheral Nervous System Signals
Bizzego, A., Gabrieli, G., Furlanello, C., & Esposito, G. (2020) · Sensors · doi:10.3390/s20236778 · Cited by 25
Task Load Estimation and Mediation Using Psycho-physiological Measures
Rajan, R., Selker, T., & Lane, I. (2016) · Proceedings of the 21st International Conference on Intelligent User Interfaces · doi:10.1145/2856767.2856769 · Cited by 23
Delineating the Operational Envelope of Mobile and Conventional EDA Sensing on Key Body Locations
Tsiamyrtzis, P., Dcosta, M., Shastri, D., Prasad, E., & Pavlidis, I. (2016) · Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems · doi:10.1145/2858036.2858536 · Cited by 23
Wearable Physiological Stress Monitoring System—A Proof-of-Concept Study
Ong, S. W., Sundar, R., Bandla, A., & Kim, N. (2021) · IRC-SET 2020 · doi:10.1007/978-981-15-9472-4_54 · Cited by 4
Metadata
- Authors
- van Dooren, M., de Vries, J. J. G. (.-J., & Janssen, J. H.
- Venue
- Physiology & Behavior
- Publisher
- Elsevier BV
- Published
- 2012-05
- Volume
- 106
- Issue
- 2
- Pages
- 298-304
- ISSN
- 0031-9384 (ISSN-L)
- OpenAlex
- W2020386158
- Cited by
- 411
- References
- 36
- FWCI
- 11.17
- 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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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.
