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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:

Clinician versus machine: Reliability and responsiveness of motor endpoints in Parkinson's disease
Dustin A. Heldman, Alberto J. Espay, Peter A. LeWitt, et al.
Parkinsonism & Related Disorders (2014) Vol. 20, Iss. 6, pp. 590-595
Open Access | Times Cited: 147

Showing 1-25 of 147 citing articles:

A roadmap for implementation of patient‐centered digital outcome measures in Parkinson's disease obtained using mobile health technologies
Alberto J. Espay, Jeffrey M. Hausdorff, Álvaro Sánchez‐Ferro, et al.
Movement Disorders (2019) Vol. 34, Iss. 5, pp. 657-663
Open Access | Times Cited: 263
Accuracy and Reliability of the Kinect Version 2 for Clinical Measurement of Motor Function
Karen Otte, Bastian Kayser, Sebastian Mansow‐Model, et al.
PLoS ONE (2016) Vol. 11, Iss. 11, pp. e0166532-e0166532
Open Access | Times Cited: 231
Evaluation of smartphone‐based testing to generate exploratory outcome measures in a phase 1 Parkinson's disease clinical trial
Florian Lipsmeier, Kirsten I. Taylor, Timothy Kilchenmann, et al.
Movement Disorders (2018) Vol. 33, Iss. 8, pp. 1287-1297
Open Access | Times Cited: 229
Wearable Movement Sensors for Rehabilitation: A Focused Review of Technological and Clinical Advances
Franchino Porciuncula, Anna V. Roto Cataldo, Deepak Kumar, et al.
PM&R (2018) Vol. 10, Iss. 9S2
Open Access | Times Cited: 215
Wearable sensors for clinical applications in epilepsy, Parkinson’s disease, and stroke: a mixed-methods systematic review
Dongni Buvarp, Kristina Malmgren, Margit Alt Murphy
Journal of Neurology (2018) Vol. 265, Iss. 8, pp. 1740-1752
Open Access | Times Cited: 174
Redefining Bradykinesia
Matteo Bologna, Alberto J. Espay, Alfonso Fasano, et al.
Movement Disorders (2023) Vol. 38, Iss. 4, pp. 551-557
Open Access | Times Cited: 48
Overview on wearable sensors for the management of Parkinson’s disease
Caroline Moreau, Tiphaine Rouaud, David Grabli, et al.
npj Parkinson s Disease (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 42
New methods for the assessment of Parkinson's disease (2005 to 2015): A systematic review
Álvaro Sánchez‐Ferro, Morad Elshehabi, Catarina Godinho, et al.
Movement Disorders (2016) Vol. 31, Iss. 9, pp. 1283-1292
Open Access | Times Cited: 134
The First Frontier: Digital Biomarkers for Neurodegenerative Disorders
E. Ray Dorsey, Spyros Papapetropoulos, Mulin Xiong, et al.
Digital Biomarkers (2017) Vol. 1, Iss. 1, pp. 6-13
Open Access | Times Cited: 131
Advances in Parkinson’s Disease: 200 Years Later
Natalia López‐González del Rey, Ana Quiroga‐Varela, Elisa Garbayo, et al.
Frontiers in Neuroanatomy (2018) Vol. 12
Open Access | Times Cited: 130
Neurophysiological correlates of bradykinesia in Parkinson’s disease
Matteo Bologna, Andrea Guerra, Giulia Paparella, et al.
Brain (2018) Vol. 141, Iss. 8, pp. 2432-2444
Open Access | Times Cited: 122
The promise of telemedicine for chronic neurological disorders: the example of Parkinson's disease
Ruth B. Schneider, Kevin Biglan
The Lancet Neurology (2017) Vol. 16, Iss. 7, pp. 541-551
Closed Access | Times Cited: 112
Detection of Parkinson's disease by Shifted One Dimensional Local Binary Patterns from gait
Ömer Faruk Ertuğrul, Yılmaz Kaya, Ramazan Teki̇n, et al.
Expert Systems with Applications (2016) Vol. 56, pp. 156-163
Closed Access | Times Cited: 111
Novel Methods and Technologies for 21st-Century Clinical Trials
E. Ray Dorsey, Charles S. Venuto, Vinayak Venkataraman, et al.
JAMA Neurology (2015) Vol. 72, Iss. 5, pp. 582-582
Open Access | Times Cited: 110
Wrist sensor-based tremor severity quantification in Parkinson's disease using convolutional neural network
Han Byul Kim, Woong Woo Lee, Aryun Kim, et al.
Computers in Biology and Medicine (2018) Vol. 95, pp. 140-146
Closed Access | Times Cited: 105
New Sensor and Wearable Technologies to Aid in the Diagnosis and Treatment Monitoring of Parkinson's Disease
Mariana H.G. Monje, Guglielmo Foffani, José Á. Obeso, et al.
Annual Review of Biomedical Engineering (2019) Vol. 21, Iss. 1, pp. 111-143
Open Access | Times Cited: 103
The Promise of Telemedicine for Movement Disorders: an Interdisciplinary Approach
Hilla Ben‐Pazi, Patrick Browne, Piu Chan, et al.
Current Neurology and Neuroscience Reports (2018) Vol. 18, Iss. 5
Closed Access | Times Cited: 90
Accuracy and repeatability of the Microsoft Azure Kinect for clinical measurement of motor function
Johannes Bertram, Theresa Krüger, Hanna Marie Röhling, et al.
PLoS ONE (2023) Vol. 18, Iss. 1, pp. e0279697-e0279697
Open Access | Times Cited: 30
Application of Wearable Sensors in Parkinson’s Disease: State of the Art
Anastasia Bougea
Journal of Sensor and Actuator Networks (2025) Vol. 14, Iss. 2, pp. 23-23
Open Access | Times Cited: 1
Bradykinesia in early and advanced Parkinson's disease
Matteo Bologna, Giorgio Leodori, Paola Stirpe, et al.
Journal of the Neurological Sciences (2016) Vol. 369, pp. 286-291
Closed Access | Times Cited: 76
Transducer-based evaluation of tremor
Dietrich Haubenberger, Giovanni Abbruzzese, Peter G. Bain, et al.
Movement Disorders (2016) Vol. 31, Iss. 9, pp. 1327-1336
Open Access | Times Cited: 75
Smartwatch for the analysis of rest tremor in patients with Parkinson's disease
Roberto López‐Blanco, Miguel A. Velasco, Antonio Méndez-Guerrero, et al.
Journal of the Neurological Sciences (2019) Vol. 401, pp. 37-42
Closed Access | Times Cited: 75
Quantitative assessment of parkinsonian bradykinesia based on an inertial measurement unit
Houde Dai, Haijun Lin, Tim C. Lueth
BioMedical Engineering OnLine (2015) Vol. 14, Iss. 1
Open Access | Times Cited: 74
A low-cost vision system based on the analysis of motor features for recognition and severity rating of Parkinson’s Disease
Domenico Buongiorno, Ilaria Bortone, Giacomo Donato Cascarano, et al.
BMC Medical Informatics and Decision Making (2019) Vol. 19, Iss. S9
Open Access | Times Cited: 74
Randomized, Blinded Pilot Testing of Nonconventional Stimulation Patterns and Shapes in Parkinson’s Disease and Essential Tremor: Evidence for Further Evaluating Narrow and Biphasic Pulses
Umer Akbar, Robert S. Raike, Nawaz Hack, et al.
Neuromodulation Technology at the Neural Interface (2016) Vol. 19, Iss. 4, pp. 343-356
Open Access | Times Cited: 62
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