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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:

Identification of Fall Risk Predictors in Daily Life Measurements
Sietse M. Rispens, Kimberley S. van Schooten, Mirjam Pijnappels, et al.
Neurorehabilitation and neural repair (2014) Vol. 29, Iss. 1, pp. 54-61
Open Access | Times Cited: 137

Showing 1-25 of 137 citing articles:

Free-living monitoring of Parkinson's disease: Lessons from the field
Silvia Del Din, Alan Godfrey, Claudia Mazzà, et al.
Movement Disorders (2016) Vol. 31, Iss. 9, pp. 1293-1313
Open Access | Times Cited: 295
Ambulatory Fall-Risk Assessment: Amount and Quality of Daily-Life Gait Predict Falls in Older Adults
Kimberley S. van Schooten, Mirjam Pijnappels, Sietse M. Rispens, et al.
The Journals of Gerontology Series A (2015) Vol. 70, Iss. 5, pp. 608-615
Open Access | Times Cited: 238
The use of wearable devices for walking and running gait analysis outside of the lab: A systematic review
Lauren C. Benson, Christian A. Clermont, Eva Bošnjak, et al.
Gait & Posture (2018) Vol. 63, pp. 124-138
Closed Access | Times Cited: 217
Deep Learning to Predict Falls in Older Adults Based on Daily-Life Trunk Accelerometry
Ahmed Nait Aicha, Gwenn Englebienne, Kimberley S. van Schooten, et al.
Sensors (2018) Vol. 18, Iss. 5, pp. 1654-1654
Open Access | Times Cited: 175
Daily-Life Gait Quality as Predictor of Falls in Older People: A 1-Year Prospective Cohort Study
Kimberley S. van Schooten, Mirjam Pijnappels, Sietse M. Rispens, et al.
PLoS ONE (2016) Vol. 11, Iss. 7, pp. e0158623-e0158623
Open Access | Times Cited: 154
Wearable pendant device monitoring using new wavelet-based methods shows daily life and laboratory gaits are different
Matthew A. Brodie, Milou J. M. Coppens, Stephen R. Lord, et al.
Medical & Biological Engineering & Computing (2015) Vol. 54, Iss. 4, pp. 663-674
Closed Access | Times Cited: 146
Wearable Inertial Sensors for Fall Risk Assessment and Prediction in Older Adults: A Systematic Review and Meta-Analysis
Luis Montesinos, Rossana Castaldo, Leandro Pecchia
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2018) Vol. 26, Iss. 3, pp. 573-582
Open Access | Times Cited: 102
The effect of walking speed on quality of gait in older adults
Bas Huijben, Kimberley S. van Schooten, Jaap H. van Dieën, et al.
Gait & Posture (2018) Vol. 65, pp. 112-116
Open Access | Times Cited: 96
Comparison between clinical gait and daily‐life gait assessments of fall risk in older people
Matthew A. Brodie, Milou J. M. Coppens, Andreas Ejupi, et al.
Geriatrics and gerontology international/Geriatrics & gerontology international (2017) Vol. 17, Iss. 11, pp. 2274-2282
Open Access | Times Cited: 94
Eight-Week Remote Monitoring Using a Freely Worn Device Reveals Unstable Gait Patterns in Older Fallers
Matthew A. Brodie, Stephen R. Lord, Milou J. M. Coppens, et al.
IEEE Transactions on Biomedical Engineering (2015) Vol. 62, Iss. 11, pp. 2588-2594
Open Access | Times Cited: 91
Associations between daily-living physical activity and laboratory-based assessments of motor severity in patients with falls and Parkinson's disease
Irina Galperin, Inbar Hillel, Silvia Del Din, et al.
Parkinsonism & Related Disorders (2019) Vol. 62, pp. 85-90
Open Access | Times Cited: 83
New evidence for gait abnormalities among Parkinson’s disease patients who suffer from freezing of gait: insights using a body-fixed sensor worn for 3 days
Aner Weiss, Talia Herman, Nir Giladi, et al.
Journal of Neural Transmission (2014) Vol. 122, Iss. 3, pp. 403-410
Closed Access | Times Cited: 89
Consistency of gait characteristics as determined from acceleration data collected at different trunk locations
Sietse M. Rispens, Mirjam Pijnappels, Kimberley S. van Schooten, et al.
Gait & Posture (2014) Vol. 40, Iss. 1, pp. 187-192
Open Access | Times Cited: 76
The complexity of daily life walking in older adult community-dwelling fallers and non-fallers
Espen A. F. Ihlen, Aner Weiss, Alan Bourke, et al.
Journal of Biomechanics (2016) Vol. 49, Iss. 9, pp. 1420-1428
Closed Access | Times Cited: 74
Real-Life Gait Performance as a Digital Biomarker for Motor Fluctuations: The Parkinson@Home Validation Study
Luc J. W. Evers, Yordan P. Raykov, Jesse H. Krijthe, et al.
Journal of Medical Internet Research (2020) Vol. 22, Iss. 10, pp. e19068-e19068
Open Access | Times Cited: 53
A wearable sensor and framework for accurate remote monitoring of human motion
Maximilian Gießler, Julian Werth, Bernd Waltersberger, et al.
Communications Engineering (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 6
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: 58
Fall-related gait characteristics on the treadmill and in daily life
Sietse M. Rispens, Jaap H. van Dieën, Kimberley S. van Schooten, et al.
Journal of NeuroEngineering and Rehabilitation (2016) Vol. 13, Iss. 1
Open Access | Times Cited: 56
Review: Are we stumbling in our quest to find the best predictor? Over‐optimism in sensor‐based models for predicting falls in older adults
Tal Shany, Kejia Wang, Ying Liu, et al.
Healthcare Technology Letters (2015) Vol. 2, Iss. 4, pp. 79-88
Open Access | Times Cited: 54
Do Extreme Values of Daily-Life Gait Characteristics Provide More Information About Fall Risk Than Median Values?
Sietse M. Rispens, Kimberley S. van Schooten, Mirjam Pijnappels, et al.
JMIR Research Protocols (2015) Vol. 4, Iss. 1, pp. e4-e4
Open Access | Times Cited: 54
Local dynamic stability during gait for predicting falls in elderly people: A one-year prospective study
Lucia Bizovská, Zdeněk Svoboda, Miroslav Janura, et al.
PLoS ONE (2018) Vol. 13, Iss. 5, pp. e0197091-e0197091
Open Access | Times Cited: 51
Accelerometry-Based Digital Gait Characteristics for Classification of Parkinson's Disease: What Counts?
Rana Zia Ur Rehman, Christopher Buckley, M. Encarna Micó-Amigo, et al.
IEEE Open Journal of Engineering in Medicine and Biology (2020) Vol. 1, pp. 65-73
Open Access | Times Cited: 49
Detection of Gait Abnormalities for Fall Risk Assessment Using Wrist-Worn Inertial Sensors and Deep Learning
Ivana Kiprijanovska, Hristijan Gjoreski, Matjaž Gams
Sensors (2020) Vol. 20, Iss. 18, pp. 5373-5373
Open Access | Times Cited: 46
Fall risk assessment in the wild: A critical examination of wearable sensor use in free-living conditions
Mina Nouredanesh, Alan Godfrey, Jennifer Howcroft, et al.
Gait & Posture (2020) Vol. 85, pp. 178-190
Closed Access | Times Cited: 42
Walking indoors, outdoors, and on a treadmill: Gait differences in healthy young and older adults
Abigail C. Schmitt, Sidney T. Baudendistel, Ania L. Lipat, et al.
Gait & Posture (2021) Vol. 90, pp. 468-474
Closed Access | Times Cited: 35
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