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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:

Stride-Time Variability and Fall Risk in Persons with Multiple Sclerosis
Yaejin Moon, Douglas A. Wajda, Robert W. Motl, et al.
Multiple Sclerosis International (2015) Vol. 2015, pp. 1-7
Open Access | Times Cited: 54

Showing 1-25 of 54 citing articles:

Monitoring gait in multiple sclerosis with novel wearable motion sensors
Yaejin Moon, Ryan S. McGinnis, Kirsten Seagers, et al.
PLoS ONE (2017) Vol. 12, Iss. 2, pp. e0171346-e0171346
Open Access | Times Cited: 120
Postural control deficits in people with Multiple Sclerosis: A systematic review and meta-analysis
Laura Comber, Jacob J. Sosnoff, Rose Galvin, et al.
Gait & Posture (2018) Vol. 61, pp. 445-452
Open Access | Times Cited: 104
Free-living and laboratory gait characteristics in patients with multiple sclerosis
Fabio Alexander Storm, Krishnan Padmakumari Sivaraman Nair, Alison J. Clarke, et al.
PLoS ONE (2018) Vol. 13, Iss. 5, pp. e0196463-e0196463
Open Access | Times Cited: 96
The Smart-Insole Dataset: Gait Analysis Using Wearable Sensors with a Focus on Elderly and Parkinson’s Patients
Chariklia Chatzaki, Vasileios Skaramagkas, Nikolaos S. Tachos, et al.
Sensors (2021) Vol. 21, Iss. 8, pp. 2821-2821
Open Access | Times Cited: 60
Wearable Sensor Technologies to Assess Motor Functions in People With Multiple Sclerosis: Systematic Scoping Review and Perspective
Tim Woelfle, Lucie Bourguignon, Johannes Lorscheider, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e44428-e44428
Open Access | Times Cited: 24
Fall Risk Prediction in Multiple Sclerosis Using Postural Sway Measures: A Machine Learning Approach
Ruopeng Sun, Katherine L. Hsieh, Jacob J. Sosnoff
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 71
Wearables and Deep Learning Classify Fall Risk From Gait in Multiple Sclerosis
Brett M. Meyer, Lindsey J. Tulipani, Reed D. Gurchiek, et al.
IEEE Journal of Biomedical and Health Informatics (2020) Vol. 25, Iss. 5, pp. 1824-1831
Open Access | Times Cited: 68
Less Is More – Estimation of the Number of Strides Required to Assess Gait Variability in Spatially Confined Settings
Daniel Kroneberg, Morad Elshehabi, Anne-Christiane Meyer, et al.
Frontiers in Aging Neuroscience (2019) Vol. 10
Open Access | Times Cited: 61
Enhancing Free-Living Fall Risk Assessment: Contextualizing Mobility Based IMU Data
Jason Moore, Samuel Stuart, Peter McMeekin, et al.
Sensors (2023) Vol. 23, Iss. 2, pp. 891-891
Open Access | Times Cited: 18
Dynamic balance in persons with multiple sclerosis who have a falls history is altered compared to non-fallers and to healthy controls
Alexander T. Peebles, Adam P. Bruetsch, Sharon Lynch, et al.
Journal of Biomechanics (2017) Vol. 63, pp. 158-163
Closed Access | Times Cited: 60
Next Steps in Wearable Technology and Community Ambulation in Multiple Sclerosis
Mikaela L. Frechette, Brett M. Meyer, Lindsey J. Tulipani, et al.
Current Neurology and Neuroscience Reports (2019) Vol. 19, Iss. 10
Closed Access | Times Cited: 51
Walking endurance in multiple sclerosis: Meta-analysis of six-minute walk test performance
Katie L.J. Cederberg, E. Morghen Sikes, Alfred A. Bartolucci, et al.
Gait & Posture (2019) Vol. 73, pp. 147-153
Closed Access | Times Cited: 45
Review—Emerging Portable Technologies for Gait Analysis in Neurological Disorders
Christina Salchow-Hömmen, Matej Skrobot, Magdalena C. E. Jochner, et al.
Frontiers in Human Neuroscience (2022) Vol. 16
Open Access | Times Cited: 26
Proof of Concept in Artificial-Intelligence-Based Wearable Gait Monitoring for Parkinson’s Disease Management Optimization
Robert Radu Ileșan, Claudia-Georgiana Cordoș, Laura-Ioana Mihăilă, et al.
Biosensors (2022) Vol. 12, Iss. 4, pp. 189-189
Open Access | Times Cited: 23
Life space assessment and falls in older adults with multiple sclerosis
Roee Holtzer, Robert W. Motl, Mark E. Wagshul, et al.
Multiple Sclerosis and Related Disorders (2024) Vol. 87, pp. 105671-105671
Closed Access | Times Cited: 5
Increased temporal stride variability contributes to impaired gait coordination after stroke
Prakruti Patel, Diana Enzastiga, Agostina Casamento‐Moran, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 22
Open-source dataset reveals relationship between walking bout duration and fall risk classification performance in persons with multiple sclerosis
Brett M. Meyer, Lindsey J. Tulipani, Reed D. Gurchiek, et al.
PLOS Digital Health (2022) Vol. 1, Iss. 10, pp. e0000120-e0000120
Open Access | Times Cited: 17
Characterizing gait in people with multiple sclerosis using digital data from smartphone sensors: A proposed framework
Angelos Karatsidis, Lorenza Angelini, Matthew Scaramozza, et al.
Multiple Sclerosis Journal (2025)
Closed Access
Association between gait variability, falls and mobility in people with multiple sclerosis: A specific observation on the EDSS 4.0-4.5 level
Alon Kalron
Neurorehabilitation (2017) Vol. 40, Iss. 4, pp. 579-585
Closed Access | Times Cited: 33
Impact of Chronic Obstructive Pulmonary Disease on Cognitive and Motor Performances in Dual-Task Walking
Nelly Héraud, François Alexandre, Mathieu Gueugnon, et al.
COPD Journal of Chronic Obstructive Pulmonary Disease (2018) Vol. 15, Iss. 3, pp. 277-282
Closed Access | Times Cited: 31
Gait and cognitive impairments in multiple sclerosis: the specific contribution of falls and fear of falling
Alon Kalron, Gilles Allali
Journal of Neural Transmission (2017) Vol. 124, Iss. 11, pp. 1407-1416
Closed Access | Times Cited: 30
Dynamic Balance Is Related to Physiological Impairments in Persons With Multiple Sclerosis
Alexander T. Peebles, Adam P. Bruetsch, Sharon Lynch, et al.
Archives of Physical Medicine and Rehabilitation (2017) Vol. 99, Iss. 10, pp. 2030-2037
Open Access | Times Cited: 29
Fall Assessment and Monitoring in People With Multiple Sclerosis
Arpita Gopal, Jeffrey M. Gelfand, Riley Bove, et al.
Neurology Clinical Practice (2023) Vol. 13, Iss. 5
Open Access | Times Cited: 8
Is a Wearable Sensor-Based Characterisation of Gait Robust Enough to Overcome Differences Between Measurement Protocols? A Multi-Centric Pragmatic Study in Patients with Multiple Sclerosis
Lorenza Angelini, Ilaria Carpinella, Davide Cattaneo, et al.
Sensors (2019) Vol. 20, Iss. 1, pp. 79-79
Open Access | Times Cited: 23
Stability of sensor-based gait parameters reassessed after a period of one year in people with multiple sclerosis
Roy Müller, Daniel Hamacher, Philipp M. Keune, et al.
BMC Neurology (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 7
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