Open Access Helper

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:

Large cognitive fluctuations surrounding sleep in daily living
Reto Huber, Arko Ghosh
iScience (2021) Vol. 24, Iss. 3, pp. 102159-102159
Open Access | Times Cited: 21

Showing 21 citing articles:

Spontaneous Motor Tempo: Investigating Psychological, Chronobiological, and Demographic Factors in a Large-Scale Online Tapping Experiment
David Hammerschmidt, Klaus Frieler, Clemens Wöllner
Frontiers in Psychology (2021) Vol. 12
Open Access | Times Cited: 42
Spontaneous motor tempo over the course of a week: the role of the time of the day, chronotype, and arousal
David Hammerschmidt, Clemens Wöllner
Psychological Research (2022) Vol. 87, Iss. 1, pp. 327-338
Open Access | Times Cited: 16
Temporal clusters of age-related behavioral alterations captured in smartphone touchscreen interactions
Enea Ceolini, Ruchella Kock, Guido P. H. Band, et al.
iScience (2022) Vol. 25, Iss. 8, pp. 104791-104791
Open Access | Times Cited: 12
Common multi-day rhythms in smartphone behavior
Enea Ceolini, Arko Ghosh
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 7
Artificial neural network trained on smartphone behavior can trace epileptiform activity in epilepsy
Robert B. Duckrow, Enea Ceolini, Hitten P. Zaveri, et al.
iScience (2021) Vol. 24, Iss. 6, pp. 102538-102538
Open Access | Times Cited: 17
A model of healthy aging based on smartphone interactions reveals advanced behavioral age in neurological disease
Enea Ceolini, Iris Brunner, Johanna W. Bunschoten, et al.
iScience (2022) Vol. 25, Iss. 8, pp. 104792-104792
Open Access | Times Cited: 9
Examining Human-Smartphone Interaction as a Proxy for Circadian Rhythm in Patients With Insomnia: Cross-Sectional Study
Chen Lin, I‐Ming Chen, Hai‐Hua Chuang, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e48044-e48044
Open Access | Times Cited: 5
Age-related behavioral resilience in smartphone touchscreen interaction dynamics
Enea Ceolini, K. Richard Ridderinkhof, Arko Ghosh
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Age-related behavioral resilience in smartphone touchscreen interaction dynamics
Enea Ceolini, K. Richard Ridderinkhof, Arko Ghosh
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 25
Open Access | Times Cited: 1
Tappigraphy: continuous ambulatory assessment and analysis of in-situ map app use behaviour
Tumasch Reichenbacher, Meysam Aliakbarian, Arko Ghosh, et al.
Journal of Location Based Services (2022) Vol. 16, Iss. 3, pp. 181-207
Open Access | Times Cited: 5
Adaptivity as a key feature of mobile maps in the digital era
Tumasch Reichenbacher, Mona Bartling
Frontiers in Communication (2023) Vol. 8
Open Access | Times Cited: 2
Tapping into Mobile App Use: What Touch Event Data Can Reveal About Active and Passive In-App Usage Behaviour
Donatella Zingaro, Gian-Luca Savino, Tumasch Reichenbacher, et al.
(2024)
Closed Access
Self-Report Measures
Ting Yan
Cambridge University Press eBooks (2024), pp. 329-351
Closed Access
Passive smartphone-based assessment of cognitive changes in neurosurgery
Kevin Akeret, Flavio Vasella, Olivia Zindel-Geisseler, et al.
medRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 3
Disentangling personalized treatment effects from “time-of-the-day” confounding in mobile health studies
Elias Chaibub Neto, Thanneer M. Perumal, Abhishek Pratap, et al.
PLoS ONE (2022) Vol. 17, Iss. 8, pp. e0271766-e0271766
Open Access | Times Cited: 1
Common multi-day rhythms in smartphone behavior
Enea Ceolini, Arko Ghosh
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 1
Smartphone Keyboard Interaction Monitoring as an Unobtrusive Method to Approximate Rest-Activity Patterns: Experience Sampling Study Investigating Interindividual and Metric-Specific Variations
K.C.H.J. Smolders, Gerrieke Druijff-van de Woestijne, Kim Meijer, et al.
Journal of Medical Internet Research (2022) Vol. 25, pp. e38066-e38066
Open Access | Times Cited: 1
Smartphone deprivation alters cortical sensorimotor processing of the hand
Arko Ghosh
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 1
Temporal clusters of age-related behavioral alterations captured in smartphone touchscreen interactions
Enea Ceolini, Ruchella Kock, Guido P. H. Band, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 1
Examining Human-Smartphone Interaction as a Proxy for Circadian Rhythm in Patients With Insomnia: Cross-Sectional Study (Preprint)
Chen Lin, I‐Ming Chen, Hai‐Hua Chuang, et al.
(2023)
Open Access
Smartphone Keyboard Interaction Monitoring as an Unobtrusive Method to Approximate Rest-Activity Patterns: Experience Sampling Study Investigating Interindividual and Metric-Specific Variations (Preprint)
K.C.H.J. Smolders, Gerrieke Druijff-van de Woestijne, Kim Meijer, et al.
(2022)
Open Access
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