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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:

Gait speed in clinical and daily living assessments in Parkinson’s disease patients: performance versus capacity
Arash Atrsaei, Marta Francisca Corrà, Farzin Dadashi, et al.
npj Parkinson s Disease (2021) Vol. 7, Iss. 1
Open Access | Times Cited: 62

Showing 1-25 of 62 citing articles:

Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium
M. Encarna Micó-Amigo, Tecla Bonci, Anisoara Paraschiv-Ionescu, et al.
Journal of NeuroEngineering and Rehabilitation (2023) Vol. 20, Iss. 1
Open Access | Times Cited: 52
Mobilise-D insights to estimate real-world walking speed in multiple conditions with a wearable device
Cameron Kirk, Arne Küderle, M. Encarna Micó-Amigo, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 15
Walking on common ground: a cross-disciplinary scoping review on the clinical utility of digital mobility outcomes
Ashley Polhemus, Laura Delgado‐Ortiz, Gavin Brittain, et al.
npj Digital Medicine (2021) Vol. 4, Iss. 1
Open Access | Times Cited: 75
Reliability and validity of the Roche PD Mobile Application for remote monitoring of early Parkinson’s disease
Florian Lipsmeier, Kirsten I. Taylor, Ronald B. Postuma, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 66
Monitoring gait at home with radio waves in Parkinson’s disease: A marker of severity, progression, and medication response
Yingcheng Liu, Guo Zhang, Christopher G. Tarolli, et al.
Science Translational Medicine (2022) Vol. 14, Iss. 663
Closed Access | Times Cited: 52
A Deep Learning Approach for Gait Event Detection from a Single Shank-Worn IMU: Validation in Healthy and Neurological Cohorts
Robbin Romijnders, Elke Warmerdam, Clint Hansen, et al.
Sensors (2022) Vol. 22, Iss. 10, pp. 3859-3859
Open Access | Times Cited: 40
Machine Learning‐Enhanced Triboelectric Sensing Application
Ruzhi Shang, Huamin Chen, Xu Cai, et al.
Advanced Materials Technologies (2024) Vol. 9, Iss. 7
Closed Access | Times Cited: 10
Association of real life postural transitions kinematics with fatigue in neurodegenerative and immune diseases
Robbin Romijnders, Arash Atrsaei, Rana Zia Ur Rehman, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access | Times Cited: 1
IoT-Enabled Gait Assessment: The Next Step for Habitual Monitoring
Fraser Young, Rachel Mason, Rosie Morris, et al.
Sensors (2023) Vol. 23, Iss. 8, pp. 4100-4100
Open Access | Times Cited: 14
Gait physiotherapy with motor imagery in people with Parkinson’s disease: a protocol for randomized control GAITimagery trial
Constanza San Martín Valenzuela, Eduar Murcia, Estela Aznar-Requena, et al.
Frontiers in Neurology (2025) Vol. 15
Open Access
Arm swing responsiveness to dopaminergic medication in Parkinson’s disease depends on task complexity
Elke Warmerdam, Robbin Romijnders, Clint Hansen, et al.
npj Parkinson s Disease (2021) Vol. 7, Iss. 1
Open Access | Times Cited: 25
Toward a Remote Assessment of Walking Bout and Speed: Application in Patients With Multiple Sclerosis
Arash Atrsaei, Farzin Dadashi, Benoît Mariani, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 25, Iss. 11, pp. 4217-4228
Open Access | Times Cited: 23
Investigating the Impact of Environment and Data Aggregation by Walking Bout Duration on Parkinson’s Disease Classification Using Machine Learning
Rana Zia Ur Rehman, Yu Guan, Jian Qing Shi, et al.
Frontiers in Aging Neuroscience (2022) Vol. 14
Open Access | Times Cited: 18
Reduced Range of Gait Speed: A Parkinson’s Disease-Specific Symptom?
Felix von der Recke, Elke Warmerdam, Clint Hansen, et al.
Journal of Parkinson s Disease (2023) Vol. 13, Iss. 2, pp. 197-202
Open Access | Times Cited: 10
Free-Living Gait Cadence Measured by Wearable Accelerometer: A Promising Alternative to Traditional Measures of Mobility for Assessing Fall Risk
Jacek Urbanek, David L. Roth, Marta Karas, et al.
The Journals of Gerontology Series A (2022) Vol. 78, Iss. 5, pp. 802-810
Open Access | Times Cited: 15
Identifying and characterising sources of variability in digital outcome measures in Parkinson’s disease
George Roussos, Teresa Ruiz Herrero, David Hill, et al.
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 15
Similarities, differences and overlaps between frailty and Parkinson's disease
Junya Ebina, Satoru Ebihara, Osamu Kano
Geriatrics and gerontology international/Geriatrics & gerontology international (2022) Vol. 22, Iss. 4, pp. 259-270
Closed Access | Times Cited: 14
Association of Prospective Falls in Older People With Ubiquitous Step-Based Fall Risk Parameters Calculated From Ambulatory Inertial Signals: Secondary Data Analysis
Nahime Al Abiad, Kimberley S. van Schooten, Valérie Renaudin, et al.
JMIR Aging (2023) Vol. 6, pp. e49587-e49587
Open Access | Times Cited: 8
Ecological validity of a deep learning algorithm to detect gait events from real-life walking bouts in mobility-limiting diseases
Robbin Romijnders, Francesca Salis, Clint Hansen, et al.
Frontiers in Neurology (2023) Vol. 14
Open Access | Times Cited: 8
An Automatic Gait Analysis Pipeline for Wearable Sensors: A Pilot Study in Parkinson’s Disease
Luis R. Peraza, Kirsi M. Kinnunen, Róisín McNaney, et al.
Sensors (2021) Vol. 21, Iss. 24, pp. 8286-8286
Open Access | Times Cited: 19
Associations Between Depression Symptom Severity and Daily-Life Gait Characteristics Derived From Long-Term Acceleration Signals in Real-World Settings: Retrospective Analysis
Yuezhou Zhang, Amos Folarin, Shaoxiong Sun, et al.
JMIR mhealth and uhealth (2022) Vol. 10, Iss. 10, pp. e40667-e40667
Open Access | Times Cited: 13
Translating digital healthcare to enhance clinical management: a protocol for an observational study using a digital health technology system to monitor medication adherence and its effect on mobility in people with Parkinson’s
Emma Packer, Héloïse Debelle, Harry G. B. Bailey, et al.
BMJ Open (2023) Vol. 13, Iss. 9, pp. e073388-e073388
Open Access | Times Cited: 7
Prediction of injurious falls in older adults using digital gait biomarkers extracted from large-scale wrist sensor data
Lloyd L. Y. Chan, Carmen Herrera Arbona, Matthew A. Brodie, et al.
Age and Ageing (2023) Vol. 52, Iss. 9
Closed Access | Times Cited: 7
Automatic Radar-Based Step Length Measurement in the Home for Older Adults Living with Frailty
Parthipan Siva, Alexander Wong, Patricia Hewston, et al.
Sensors (2024) Vol. 24, Iss. 4, pp. 1056-1056
Open Access | Times Cited: 2
A dynamic brain network decomposition method discovers effective brain hemodynamic sub-networks for Parkinson’s disease
Jiewei Lu, Xinyuan Zhang, Zhilin Shu, et al.
Journal of Neural Engineering (2024) Vol. 21, Iss. 2, pp. 026047-026047
Closed Access | Times Cited: 2
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