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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:

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: 42

Showing 1-25 of 42 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
Technical validation of real-world monitoring of gait: a multicentric observational study
Claudia Mazzà, Lisa Alcock, Kamiar Aminian, et al.
BMJ Open (2021) Vol. 11, Iss. 12, pp. e050785-e050785
Open Access | Times Cited: 80
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
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: 30
Mobility recorded by wearable devices and gold standards: the Mobilise-D procedure for data standardization
Luca Palmerini, Luca Reggi, Tecla Bonci, et al.
Scientific Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 22
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
Fall Risk Prediction in Parkinson's Disease Using Real-World Inertial Sensor Gait Data
Martin Ullrich, Nils Roth, Arne Küderle, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 27, Iss. 1, pp. 319-328
Closed Access | Times Cited: 22
Real-world walking cadence in people with COPD
Laura Delgado‐Ortiz, Saverio Ranciati, Ane Arbillaga‐Etxarri, et al.
ERJ Open Research (2024) Vol. 10, Iss. 2, pp. 00673-2023
Open Access | Times Cited: 4
Algorithms for gait: technical and clinical validity
Lisa Alcock, M. Encarna Micó-Amigo, Tecla Bonci, et al.
Elsevier eBooks (2025), pp. 277-321
Closed Access
A breakdown of the gait cycle: biomechanics basics
Rachel Mason, Liam T. Pearson, Dimitrios Megaritis, et al.
Elsevier eBooks (2025), pp. 141-154
Closed Access
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
Reverse Engineering of Digital Measures: Inviting Patients to the Conversation
Ieuan Clay, Nele Peerenboom, Dana E. Connors, et al.
Digital Biomarkers (2023), pp. 28-44
Open Access | Times Cited: 11
Rapid Dynamic Naturalistic Monitoring of Bradykinesia in Parkinson’s Disease Using a Wrist-Worn Accelerometer
Jeroen Habets, Christian Herff, Pieter Kubben, et al.
Sensors (2021) Vol. 21, Iss. 23, pp. 7876-7876
Open Access | Times Cited: 26
Listening to the patients’ voice: a conceptual framework of the walking experience
Laura Delgado‐Ortiz, Ashley Polhemus, Alison Keogh, et al.
Age and Ageing (2022) Vol. 52, Iss. 1
Open Access | Times Cited: 16
An Algorithm to Classify Real-World Ambulatory Status From a Wearable Device Using Multimodal and Demographically Diverse Data: Validation Study
Sara Popham, Maximilien Burq, Erin Rainaldi, et al.
JMIR Biomedical Engineering (2023) Vol. 8, pp. e43726-e43726
Open Access | Times Cited: 10
Laboratory and free-living gait performance in adults with COPD and healthy controls
Joren Buekers, Dimitrios Megaritis, Sarah Koch, et al.
ERJ Open Research (2023) Vol. 9, Iss. 5, pp. 00159-2023
Open Access | Times Cited: 9
Evaluation of mobility recovery after hip fracture: a scoping review of randomized controlled studies
Kristin Taraldsen, Ashley Polhemus, Monika Engdal, et al.
Osteoporosis International (2023) Vol. 35, Iss. 2, pp. 203-215
Open Access | Times Cited: 9
The value of walking: a systematic review on mobility and healthcare costs
Martin Wohlrab, Jochen Klenk, Laura Delgado‐Ortiz, et al.
European Review of Aging and Physical Activity (2022) Vol. 19, Iss. 1
Open Access | Times Cited: 14
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 Algorithm for Accurate Marker-Based Gait Event Detection in Healthy and Pathological Populations During Complex Motor Tasks
Tecla Bonci, Francesca Salis, Kirsty Scott, et al.
Frontiers in Bioengineering and Biotechnology (2022) Vol. 10
Open Access | Times Cited: 12
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.
Research Square (Research Square) (2022)
Open Access | Times Cited: 11
Design and validation of a multi-task, multi-context protocol for real-world gait simulation
Kirsty Scott, Tecla Bonci, Francesca Salis, et al.
Journal of NeuroEngineering and Rehabilitation (2022) Vol. 19, Iss. 1
Open Access | Times Cited: 11
Machine learning-based distinction of left and right foot contacts in lower back inertial sensor gait data
Martin Ullrich, Arne Küderle, Luca Reggi, et al.
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2021), pp. 5958-5961
Open Access | Times Cited: 15
A robust walking detection algorithm using a single foot-worn inertial sensor: validation in real-life settings
Gaëlle Prigent, Kamiar Aminian, Andrea Cereatti, et al.
Medical & Biological Engineering & Computing (2023) Vol. 61, Iss. 9, pp. 2341-2352
Open Access | Times Cited: 5
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