Lisa Alcock - Concepedia

Author

Lisa Alcock

Newcastle University ORCID

Also Known As

A Mcwhirr, Alaa Abouhajar, Alcock, Lisa, L Alcock, L. Alcock, Lisa Alcock, M Margidunum, Martin Regensburger

141

Publications

3.1K

Citations

H-Index

Concepts

All Affiliations

Newcastle University Newcastle upon Tyne Hospitals NHS Foundation Trust Tel Aviv Sourasky Medical Center Northumbria University Tel Aviv University

About

Lisa Alcock is an author at Newcastle University specializing in medicine, rehabilitation, and health sciences.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	14	15	925
2	Health Sciences	13	13	866
3	Applied Physiology	6	6	179
4	Engineering	1	1	26
5	Public Health	1	1	33

Lisa Alcock

Publications

2.3K

Citations

H-Index

Page 1

	Year	Citations
Addition of a non-immersive virtual reality component to treadmill training to reduce fall risk in older adults (V-TIME): a randomised controlled trial Anat Mirelman, Lynn Rochester, Inbal Maidan, The Lancet Fall PreventionPhysical ActivityHealth SciencesExerciseVirtual Reality	2016	459
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, Journal of NeuroEngineering and Rehabilitation	2023	116
Technical validation of real-world monitoring of gait: a multicentric observational study Claudia Mazzà, Lisa Alcock, Kamiar Aminian, BMJ Open	2021	114
Gait Progression Over 6 Years in Parkinson’s Disease: Effects of Age, Medication, and Pathology Joanna Wilson, Lisa Alcock, Alison J. Yarnall, Frontiers in Aging Neuroscience	2020	88
A multi-sensor wearable system for the assessment of diseased gait in real-world conditions Francesca Salis, Stefano Bertuletti, Tecla Bonci, Frontiers in Bioengineering and Biotechnology	2023	74
Connecting real-world digital mobility assessment to clinical outcomes for regulatory and clinical endorsement–the Mobilise-D study protocol A. Stefanie Mikolaizak, Lynn Rochester, Walter Maetzler, PLoS ONE	2022	69
Gait Analysis with Wearables Can Accurately Classify Fallers from Non-Fallers: A Step toward Better Management of Neurological Disorders Rana Zia Ur Rehman, Yuhan Zhou, Silvia Del Din, Sensors	2020	67
Accelerometry-Based Digital Gait Characteristics for Classification of Parkinson's Disease: What Counts? Rana Zia Ur Rehman, Christopher Buckley, M. Encarna Micó-Amigo, IEEE Open Journal of Engineering in Medicine and Biology	2020	61
Step length determines minimum toe clearance in older adults and people with Parkinson’s disease Lisa Alcock, Brook Galna, Ruth Perkins, Journal of Biomechanics	2017	55
Mobilise-D insights to estimate real-world walking speed in multiple conditions with a wearable device Cameron Kirk, Arne Küderle, M. Encarna Micó-Amigo, Scientific Reports	2024	55

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