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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Forecasting cycles of seizure likelihood
Philippa J. Karoly, Mark Cook, Matias I. Maturana, et al.
Epilepsia (2020) Vol. 61, Iss. 4, pp. 776-786
Open Access | Times Cited: 103

Showing 1-25 of 103 citing articles:

Cycles in epilepsy
Philippa J. Karoly, Vikram R. Rao, Nicholas M. Gregg, et al.
Nature Reviews Neurology (2021) Vol. 17, Iss. 5, pp. 267-284
Closed Access | Times Cited: 205
Forecasting seizure risk in adults with focal epilepsy: a development and validation study
Timothée Proix, Wilson Truccolo, Marc G. Leguia, et al.
The Lancet Neurology (2020) Vol. 20, Iss. 2, pp. 127-135
Open Access | Times Cited: 146
Machine learning and wearable devices of the future
Sándor Beniczky, Philippa J. Karoly, Ewan S. Nurse, et al.
Epilepsia (2020) Vol. 62, Iss. S2
Open Access | Times Cited: 124
Seizure Diaries and Forecasting With Wearables: Epilepsy Monitoring Outside the Clinic
Benjamin H. Brinkmann, Philippa J. Karoly, Ewan S. Nurse, et al.
Frontiers in Neurology (2021) Vol. 12
Open Access | Times Cited: 97
Seizure forecasting and cyclic control of seizures
Rachel E. Stirling, Mark Cook, David B. Grayden, et al.
Epilepsia (2020) Vol. 62, Iss. S1
Open Access | Times Cited: 90
Signal quality and patient experience with wearable devices for epilepsy management
Mona Nasseri, Ewan S. Nurse, Martin Glasstetter, et al.
Epilepsia (2020) Vol. 61, Iss. S1
Open Access | Times Cited: 76
Seizure Forecasting Using a Novel Sub-Scalp Ultra-Long Term EEG Monitoring System
Rachel E. Stirling, Matias I. Maturana, Philippa J. Karoly, et al.
Frontiers in Neurology (2021) Vol. 12
Open Access | Times Cited: 68
Forecasting Seizure Likelihood With Wearable Technology
Rachel E. Stirling, David B. Grayden, Wendyl D’Souza, et al.
Frontiers in Neurology (2021) Vol. 12
Open Access | Times Cited: 65
Ambulatory seizure forecasting with a wrist-worn device using long-short term memory deep learning
Mona Nasseri, Tal Pal Attia, Boney Joseph, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 64
Multiday cycles of heart rate are associated with seizure likelihood: An observational cohort study
Philippa J. Karoly, Rachel E. Stirling, Dean R. Freestone, et al.
EBioMedicine (2021) Vol. 72, pp. 103619-103619
Open Access | Times Cited: 62
Neuromodulation in 2035
Timothy Denison, Martha J. Morrell
Neurology (2022) Vol. 98, Iss. 2, pp. 65-72
Open Access | Times Cited: 46
Noninvasive mobile EEG as a tool for seizure monitoring and management: A systematic review
Andrea Biondi, Viviana Santoro, Pedro F. Viana, et al.
Epilepsia (2022) Vol. 63, Iss. 5, pp. 1041-1063
Open Access | Times Cited: 43
Personalized strategies of neurostimulation: from static biomarkers to dynamic closed-loop assessment of neural function
Marta Carè, Michela Chiappalone, Vinícius Rosa Cota
Frontiers in Neuroscience (2024) Vol. 18
Open Access | Times Cited: 9
Generalisability of epileptiform patterns across time and patients
Hamid Karimi-Rouzbahani, Aileen McGonigal
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 8
The present and future of seizure detection, prediction, and forecasting with machine learning, including the future impact on clinical trials
Wesley T. Kerr, Katherine N. McFarlane, Gabriela Figueiredo Pucci
Frontiers in Neurology (2024) Vol. 15
Open Access | Times Cited: 8
230 days of ultra long‐term subcutaneous EEG: seizure cycle analysis and comparison to patient diary
Pedro F. Viana, Jonas Duun‐Henriksen, Martin Glasstëter, et al.
Annals of Clinical and Translational Neurology (2020) Vol. 8, Iss. 1, pp. 288-293
Open Access | Times Cited: 60
Non-invasive wearable seizure detection using long–short-term memory networks with transfer learning
Mona Nasseri, Tal Pal Attia, Boney Joseph, et al.
Journal of Neural Engineering (2021) Vol. 18, Iss. 5, pp. 056017-056017
Closed Access | Times Cited: 44
Seizure forecasting using minimally invasive, ultra‐long‐term subcutaneous electroencephalography: Individualized intrapatient models
Pedro F. Viana, Tal Pal Attia, Mona Nasseri, et al.
Epilepsia (2022) Vol. 64, Iss. S4
Open Access | Times Cited: 33
Machine Learning and Artificial Intelligence Applications to Epilepsy: a Review for the Practicing Epileptologist
Wesley T. Kerr, Katherine N. McFarlane
Current Neurology and Neuroscience Reports (2023) Vol. 23, Iss. 12, pp. 869-879
Closed Access | Times Cited: 20
Commercially available seizure detection devices: A systematic review
Jennifer Shum, Daniel Friedman
Journal of the Neurological Sciences (2021) Vol. 428, pp. 117611-117611
Closed Access | Times Cited: 38
Cycles of self‐reported seizure likelihood correspond to yield of diagnostic epilepsy monitoring
Philippa J. Karoly, Dominique Eden, Ewan S. Nurse, et al.
Epilepsia (2021) Vol. 62, Iss. 2, pp. 416-425
Open Access | Times Cited: 34
Evidence of state-dependence in the effectiveness of responsive neurostimulation for seizure modulation
Sharon Chiang, Ankit N. Khambhati, Emily T. Wang, et al.
Brain stimulation (2021) Vol. 14, Iss. 2, pp. 366-375
Open Access | Times Cited: 33
Seizure forecasting: Bifurcations in the long and winding road
Maxime O. Baud, Timothée Proix, Nicholas M. Gregg, et al.
Epilepsia (2022) Vol. 64, Iss. S4
Open Access | Times Cited: 27
Sleep and seizure risk in epilepsy: bed and wake times are more important than sleep duration
Rachel E. Stirling, Cindy M. Hidajat, David B. Grayden, et al.
Brain (2022) Vol. 146, Iss. 7, pp. 2803-2813
Open Access | Times Cited: 24
Forecasting seizure likelihood from cycles of self-reported events and heart rate: a prospective pilot study
Wenjuan Xiong, Rachel E. Stirling, Daniel E. Payne, et al.
EBioMedicine (2023) Vol. 93, pp. 104656-104656
Open Access | Times Cited: 14
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