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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:

Is every-day walking in older adults more analogous to dual-task walking or to usual walking? Elucidating the gaps between gait performance in the lab and during 24/7 monitoring
Inbar Hillel, Eran Gazit, Alice Nieuwboer, et al.
European Review of Aging and Physical Activity (2019) Vol. 16, Iss. 1
Open Access | Times Cited: 202

Showing 1-25 of 202 citing articles:

Long-term unsupervised mobility assessment in movement disorders
Elke Warmerdam, Jeffrey M. Hausdorff, Arash Atrsaei, et al.
The Lancet Neurology (2020) Vol. 19, Iss. 5, pp. 462-470
Open Access | Times Cited: 254
Virtual reality in research and rehabilitation of gait and balance in Parkinson disease
Colleen G. Canning, Natalie E. Allen, Evelien Nackaerts, et al.
Nature Reviews Neurology (2020) Vol. 16, Iss. 8, pp. 409-425
Open Access | Times Cited: 152
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: 17
Mobility in Older Community-Dwelling Persons: A Narrative Review
Ellen Freiberger, Cornel Sieber, Robert Kob
Frontiers in Physiology (2020) Vol. 11
Open Access | Times Cited: 108
Quantity and quality of gait and turning in people with multiple sclerosis, Parkinson’s disease and matched controls during daily living
Vrutangkumar V. Shah, James McNames, Martina Mancini, et al.
Journal of Neurology (2020) Vol. 267, Iss. 4, pp. 1188-1196
Open Access | Times Cited: 70
Validation of IMU-based gait event detection during curved walking and turning in older adults and Parkinson’s Disease patients
Robbin Romijnders, Elke Warmerdam, Clint Hansen, et al.
Journal of NeuroEngineering and Rehabilitation (2021) Vol. 18, Iss. 1
Open Access | Times Cited: 62
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
Detecting Sensitive Mobility Features for Parkinson's Disease Stages Via Machine Learning
Anat Mirelman, Mor Ben Or Frank, Michal L. Melamed, et al.
Movement Disorders (2021) Vol. 36, Iss. 9, pp. 2144-2155
Closed Access | Times Cited: 60
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: 42
A multi-sensor wearable system for the assessment of diseased gait in real-world conditions
Francesca Salis, Stefano Bertuletti, Tecla Bonci, et al.
Frontiers in Bioengineering and Biotechnology (2023) Vol. 11
Open Access | Times Cited: 31
Real-World Gait Detection Using a Wrist-Worn Inertial Sensor: Validation Study
Felix Kluge, Yonatan E Brand, M. Encarna Micó-Amigo, et al.
JMIR Formative Research (2024) Vol. 8, pp. e50035-e50035
Open Access | Times Cited: 12
Long-term continuous instrumented insole-based gait analyses in daily life have advantages over longitudinal gait analyses in the lab to monitor healing of tibial fractures
Elke Warmerdam, Christian Wolff, Marcel Orth, et al.
Frontiers in Bioengineering and Biotechnology (2024) Vol. 12
Open Access | Times Cited: 8
A wearable sensor and machine learning estimate step length in older adults and patients with neurological disorders
Assaf Zadka, Neta Rabin, Eran Gazit, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 8
Wearable Inertial Sensors for Gait Analysis in Adults with Osteoarthritis—A Scoping Review
Dylan Kobsar, Zaryan Masood, Heba Khan, et al.
Sensors (2020) Vol. 20, Iss. 24, pp. 7143-7143
Open Access | Times Cited: 64
Laboratory versus daily life gait characteristics in patients with multiple sclerosis, Parkinson’s disease, and matched controls
Vrutangkumar V. Shah, James McNames, Martina Mancini, et al.
Journal of NeuroEngineering and Rehabilitation (2020) Vol. 17, Iss. 1
Open Access | Times Cited: 63
A wearable sensor identifies alterations in community ambulation in multiple sclerosis: contributors to real-world gait quality and physical activity
Shirley Shema-Shiratzky, Inbar Hillel, Anat Mirelman, et al.
Journal of Neurology (2020) Vol. 267, Iss. 7, pp. 1912-1921
Open Access | Times Cited: 60
Age and environment-related differences in gait in healthy adults using wearables
Matthew Czech, Dimitrios Psaltos, Hao Zhang, et al.
npj Digital Medicine (2020) Vol. 3, Iss. 1
Open Access | Times Cited: 51
Consensus based framework for digital mobility monitoring
Felix Kluge, Silvia Del Din, Andrea Cereatti, et al.
PLoS ONE (2021) Vol. 16, Iss. 8, pp. e0256541-e0256541
Open Access | Times Cited: 44
Reinvest to Assess: Advancing Approaches to Motor Competence Measurement Across the Lifespan
Ryan M. Hulteen, Bryan Terlizzi, T. Cade Abrams, et al.
Sports Medicine (2022) Vol. 53, Iss. 1, pp. 33-50
Closed Access | Times Cited: 31
Treadmill training with virtual reality to enhance gait and cognitive function among people with multiple sclerosis: a randomized controlled trial
Irina Galperin, Anat Mirelman, Tanja Schmitz‐Hübsch, et al.
Journal of Neurology (2022) Vol. 270, Iss. 3, pp. 1388-1401
Open Access | Times Cited: 30
Validity and reliability of the Apple Health app on iPhone for measuring gait parameters in children, adults, and seniors
Christian Werner, Natalie Hezel, Fabienne Dongus, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 21
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: 50
Using wearables to assess bradykinesia and rigidity in patients with Parkinson’s disease: a focused, narrative review of the literature
Itay Teshuva, Inbar Hillel, Eran Gazit, et al.
Journal of Neural Transmission (2019) Vol. 126, Iss. 6, pp. 699-710
Closed Access | Times Cited: 48
Effects of the agility boot camp with cognitive challenge (ABC-C) exercise program for Parkinson’s disease
Se Hee Jung, Naoya Hasegawa, Martina Mancini, et al.
npj Parkinson s Disease (2020) Vol. 6, Iss. 1
Open Access | Times Cited: 47
Modernizing Daily Function Assessment in Parkinson's Disease Using Capacity, Perception, and Performance Measures
Walter Maetzler, Lynn Rochester, Roongroj Bhidayasiri, et al.
Movement Disorders (2020) Vol. 36, Iss. 1, pp. 76-82
Open Access | Times Cited: 47
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