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:

The impact of neurological disorders on the risk for falls in the community dwelling elderly: a case-controlled study
B Homann, Annemarie Plaschg, Marion Grundner, et al.
BMJ Open (2013) Vol. 3, Iss. 11, pp. e003367-e003367
Open Access | Times Cited: 86

Showing 1-25 of 86 citing articles:

Perturbation‐based balance training for falls reduction among older adults: Current evidence and implications for clinical practice
Marissa H. G. Gerards, Christopher McCrum, Avril Mansfield, et al.
Geriatrics and gerontology international/Geriatrics & gerontology international (2017) Vol. 17, Iss. 12, pp. 2294-2303
Open Access | Times Cited: 219

Artificial Intelligence and IoT in Elderly Fall Prevention: A Review
Deepika Mohan, Duaa Zuhair Al-Hamid, Peter Han Joo Chong, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 4, pp. 4181-4198
Closed Access | Times Cited: 14

Gait analysis in neurological populations: Progression in the use of wearables
Yunus Çelik, Samuel Stuart, Wai Lok Woo, et al.
Medical Engineering & Physics (2020) Vol. 87, pp. 9-29
Open Access | Times Cited: 124

Falls and fear of falling in vertigo and balance disorders: A controlled cross-sectional study
Cornelia Schlick, Roman Schniepp, Verena Loidl, et al.
Journal of Vestibular Research (2016) Vol. 25, Iss. 5-6, pp. 241-251
Closed Access | Times Cited: 117

Deep Learning Based Systems Developed for Fall Detection: A Review
Md. Milon Islam, Omar Tayan, Md. Repon Islam, et al.
IEEE Access (2020) Vol. 8, pp. 166117-166137
Open Access | Times Cited: 98

Chronic diseases and geriatric syndromes: The different weight of comorbidity
Davide Liborio Vetrano, Andrea D. Foebel, Alessandra Marengoni, et al.
European Journal of Internal Medicine (2015) Vol. 27, pp. 62-67
Closed Access | Times Cited: 91

Sensor-based fall detection systems: a review
Sheikh Nooruddin, Md. Milon Islam, Falguni Ahmed Sharna, et al.
Journal of Ambient Intelligence and Humanized Computing (2021) Vol. 13, Iss. 5, pp. 2735-2751
Closed Access | Times Cited: 69

A Life-Long Approach to Physical Activity for Brain Health
Helen Macpherson, Wei-P. Teo, Luke A. Schneider, et al.
Frontiers in Aging Neuroscience (2017) Vol. 9
Open Access | Times Cited: 72

Towards Artificial Intelligence Driven Emotion Aware Fall Monitoring Framework Suitable for Elderly People with Neurological Disorder
Md. Jaber Al Nahian, Tapotosh Ghosh, Mohammed Nasir Uddin, et al.
Lecture notes in computer science (2020), pp. 275-286
Closed Access | Times Cited: 61

Osteoporosis Associated with Epilepsy and the Use of Anti-Epileptics—a Review
Sandra Petty, Helen Wilding, John D. Wark
Current Osteoporosis Reports (2016) Vol. 14, Iss. 2, pp. 54-65
Closed Access | Times Cited: 54

The Current Situation of Neurological Health in Bangladesh: A Perspective
Mst. Khodeza Khatun, Mohammad Shahangir Biswas, Suronjit Kumar Roy, et al.
Health Science Reports (2025) Vol. 8, Iss. 3
Open Access

Hyponatremia as a fall predictor in a geriatric trauma population
Katelyn Rittenhouse, Tuc To, Amelia Rogers, et al.
Injury (2014) Vol. 46, Iss. 1, pp. 119-123
Closed Access | Times Cited: 46

Improving Trip- and Slip-Resisting Skills in Older People: Perturbation Dose Matters
Kiros Karamanidis, Gaspar Epro, Christopher McCrum, et al.
Exercise and Sport Sciences Reviews (2019) Vol. 48, Iss. 1, pp. 40-47
Open Access | Times Cited: 42

Deficient recovery response and adaptive feedback potential in dynamic gait stability in unilateral peripheral vestibular disorder patients
Christopher McCrum, Katrin Eysel-Gosepath, Gaspar Epro, et al.
Physiological Reports (2014) Vol. 2, Iss. 12, pp. e12222-e12222
Open Access | Times Cited: 37

A Review on Fall Detection Systems Using Data from Smartphone Sensors
Md. Manirul Islam, Nieb Hasan Neom, Md. Niaz Imtiaz, et al.
Ingénierie des systèmes d information (2019) Vol. 24, Iss. 6, pp. 569-576
Open Access | Times Cited: 34

Evaluation of risk factors that contribute to falls among the elderly
Raquel Letícia Tavares Alves, Carlos Fernando Moreira e Silva, Luísa Negri Pimentel, et al.
Revista Brasileira de Geriatria e Gerontologia (2017) Vol. 20, Iss. 1, pp. 56-66
Open Access | Times Cited: 27

Vitamin D supplementation in later life: a systematic review of efficacy and safety in movement disorders
Carl Nikolaus Homann, B Homann, Gerd Ivanic, et al.
Frontiers in Aging Neuroscience (2024) Vol. 16
Open Access | Times Cited: 2

Artificial neural networks in neurorehabilitation: A scoping review
Sanghee Moon, Pedram Ahmadnezhad, Hyun-Je Song, et al.
Neurorehabilitation (2020) Vol. 46, Iss. 3, pp. 259-269
Open Access | Times Cited: 20

Total, hemi, or dual-mobility arthroplasty for the treatment of femoral neck fractures in patients with neurological disease
Peter Cnudde, Jonatan Nåtman, Nils P. Hailer, et al.
The Bone & Joint Journal (2021) Vol. 104-B, Iss. 1, pp. 134-141
Closed Access | Times Cited: 16

Proportion of falls reported in persons with Parkinson's disease: A meta-analysis
Anke Van Bladel, Nolan Herssens, Katie Bouche, et al.
Clinical Rehabilitation (2023) Vol. 37, Iss. 9, pp. 1260-1277
Closed Access | Times Cited: 6

A prediction model of falls for patients with neurological disorder in acute care hospital
Sung‐Hee Yoo, Sung Reul Kim, Yong Soon Shin
Journal of the Neurological Sciences (2015) Vol. 356, Iss. 1-2, pp. 113-117
Closed Access | Times Cited: 19

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