The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
EEG in ischaemic stroke: Quantitative EEG can uniquely inform (sub-)acute prognoses and clinical management
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Citations
Cites
Pathobiology of ischaemic stroke: an integrated view
Dirnagl, U., Iadecola, C., & Moskowitz, M. A. (1999) · Trends in Neurosciences · doi:10.1016/s0166-2236(99)01401-0 · Cited by 3,943
Electric Fields of the Brain: The Neurophysics of EEG
Nunez, P. L., & Harth, E. (1982) · Physics Today · doi:10.1063/1.2915137 · Cited by 2,232
A Solution for Reliable and Valid Reduction of Ocular Artifacts, Applied to the P300 ERP
Semlitsch, H. V., Anderer, P., Schuster, P., & Presslich, O. (1986) · Psychophysiology · doi:10.1111/j.1469-8986.1986.tb00696.x · Cited by 2,020
Electric Fields of the Brain: The Neurophysics of EEG
Fermaglich, J. (1982) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.1982.03320380071046 · Cited by 1,543
EEGLAB, SIFT, NFT, BCILAB, and ERICA: New Tools for Advanced EEG Processing
Delorme, A., Mullen, T., Kothe, C., Akalin Acar, Z., Bigdely-Shamlo, N., Vankov, A., & Makeig, S. (2011) · Computational Intelligence and Neuroscience · doi:10.1155/2011/130714 · Cited by 643
Grefkes, C., & Fink, G. R. (2011) · Brain · doi:10.1093/brain/awr033 · Cited by 632
Dynamic functional reorganization of the motor execution network after stroke
Wang, L., Yu, C., Chen, H., Qin, W., He, Y., Fan, F., Zhang, Y., Wang, M., Li, K., Zang, Y., et al. (2010) · Brain · doi:10.1093/brain/awq043 · Cited by 629
The complexity of neurobiological processes in acute ischemic stroke
Brouns, R., & De Deyn, P. P. (2009) · Clinical Neurology and Neurosurgery · doi:10.1016/j.clineuro.2009.04.001 · Cited by 526
Gerloff, C., Bushara, K., Sailer, A., Wassermann, E. M., Chen, R., Matsuoka, T., Waldvogel, D., Wittenberg, G. F., Ishii, K., Cohen, L. G., et al. (2006) · Brain · doi:10.1093/brain/awh713 · Cited by 452
Claassen, J., Hirsch, L. J., Kreiter, K. T., Du, E. Y., Sander Connolly, E., Emerson, R. G., & Mayer, S. A. (2004) · Clinical Neurophysiology · doi:10.1016/j.clinph.2004.06.017 · Cited by 393
Cited by
Cui, Y., Zhang, F., Chen, G., Yao, L., Zhang, N., Liu, Z., Li, Q., Zhang, F., Cui, Z., Zhang, K., et al. (2021) · Advanced Materials · doi:10.1002/adma.202100221 · Cited by 114
Investigating the Effects of Chiropractic Spinal Manipulation on EEG in Stroke Patients
Navid, M. S., Niazi, I. K., Lelic, D., Nedergaard, R. B., Holt, K., Amjad, I., Drewes, A. M., & Haavik, H. (2020) · Brain Sciences · doi:10.3390/brainsci10050253 · Cited by 18
Metadata
- Authors
- Finnigan, S., & van Putten, M. J. A. M.
- Venue
- Clinical Neurophysiology
- Publisher
- Elsevier BV
- Published
- 2013-01
- Volume
- 124
- Issue
- 1
- Pages
- 10-19
- ISSN
- 1388-2457 (ISSN-L)
- OpenAlex
- W2010674238
- Cited by
- 310
- References
- 45
- FWCI
- 6.89
- 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.
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- CoChat. (2026). Citation check: EEG in ischaemic stroke: Quantitative EEG can uniquely inform (sub-)acute prognoses and clinical management. https://app.cochat.ai/papers/10.1016/j.clinph.2012.07.003
- The paper
- Finnigan, S., & van Putten, M. J. A. M. (2013). EEG in ischaemic stroke: Quantitative EEG can uniquely inform (sub-)acute prognoses and clinical management. Clinical Neurophysiology. https://doi.org/10.1016/j.clinph.2012.07.003
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.