Danny Rafferty

2.0k total citations
58 papers, 1.4k citations indexed

About

Danny Rafferty is a scholar working on Biomedical Engineering, Physical Therapy, Sports Therapy and Rehabilitation and Psychiatry and Mental health. According to data from OpenAlex, Danny Rafferty has authored 58 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Biomedical Engineering, 16 papers in Physical Therapy, Sports Therapy and Rehabilitation and 15 papers in Psychiatry and Mental health. Recurrent topics in Danny Rafferty's work include Balance, Gait, and Falls Prevention (16 papers), Cerebral Palsy and Movement Disorders (12 papers) and Lower Extremity Biomechanics and Pathologies (10 papers). Danny Rafferty is often cited by papers focused on Balance, Gait, and Falls Prevention (16 papers), Cerebral Palsy and Movement Disorders (12 papers) and Lower Extremity Biomechanics and Pathologies (10 papers). Danny Rafferty collaborates with scholars based in United Kingdom, Australia and New Zealand. Danny Rafferty's co-authors include Lorna Paul, James Woodburn, Angus McFadyen, Lynn Rochester, R D Sturrock, Linda Miller, Paul Mattison, Andrew Kerr, Stephen Brewster and Sally Wyke and has published in prestigious journals such as Medicine & Science in Sports & Exercise, Archives of Physical Medicine and Rehabilitation and Movement Disorders.

In The Last Decade

Danny Rafferty

56 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Danny Rafferty United Kingdom 21 398 343 330 323 262 58 1.4k
Daniela Cristina Carvalho de Abreu Brazil 21 404 1.0× 405 1.2× 214 0.6× 185 0.6× 167 0.6× 97 1.3k
A. Thévenon France 29 543 1.4× 500 1.5× 534 1.6× 289 0.9× 315 1.2× 130 2.2k
V. Castellano Italy 20 350 0.9× 148 0.4× 320 1.0× 258 0.8× 561 2.1× 34 1.3k
Noel Lythgo Australia 17 335 0.8× 412 1.2× 408 1.2× 134 0.4× 126 0.5× 38 1.2k
Miao‐Ju Hsu Taiwan 19 352 0.9× 202 0.6× 396 1.2× 565 1.7× 108 0.4× 52 1.6k
Stefano Carda Italy 23 515 1.3× 131 0.4× 167 0.5× 598 1.9× 345 1.3× 69 1.7k
Eva Swinnen Belgium 19 336 0.8× 174 0.5× 396 1.2× 543 1.7× 222 0.8× 79 1.2k
Hatice Rana Erdem Türkiye 19 340 0.9× 195 0.6× 164 0.5× 98 0.3× 202 0.8× 75 1.5k
Herwin Horemans Netherlands 19 220 0.6× 227 0.7× 265 0.8× 165 0.5× 103 0.4× 42 993
Gerold Ebenbichler Austria 25 294 0.7× 185 0.5× 531 1.6× 153 0.5× 322 1.2× 78 2.4k

Countries citing papers authored by Danny Rafferty

Since Specialization
Citations

This map shows the geographic impact of Danny Rafferty's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Danny Rafferty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danny Rafferty more than expected).

Fields of papers citing papers by Danny Rafferty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danny Rafferty. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Danny Rafferty. The network helps show where Danny Rafferty may publish in the future.

Co-authorship network of co-authors of Danny Rafferty

This figure shows the co-authorship network connecting the top 25 collaborators of Danny Rafferty. A scholar is included among the top collaborators of Danny Rafferty based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Danny Rafferty. Danny Rafferty is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Miller, Linda, et al.. (2020). Determining validity of the PALite and ODFS PACE activity logger for measuring step count in healthy adults. Gait & Posture. 80. 315–317. 2 indexed citations
2.
Harvey, Juliet, et al.. (2017). Consequences of short interruptions of bouts walking on estimates of compliance to physical activity guidelines. Physiological Measurement. 38(5). N93–N100. 2 indexed citations
3.
Miller, Linda, Danny Rafferty, Lorna Paul, & Paul Mattison. (2015). The impact of walking speed on the effects of functional electrical stimulation for foot drop in people with multiple sclerosis. Disability and Rehabilitation Assistive Technology. 11(6). 1–6. 19 indexed citations
4.
Telfer, Scott, et al.. (2013). Dose–response effects of customised foot orthoses on lower limb muscle activity and plantar pressures in pronated foot type. Gait & Posture. 38(3). 443–449. 63 indexed citations
6.
Barn, Ruth, Danny Rafferty, Deborah E. Turner, & James Woodburn. (2012). Reliability study of tibialis posterior and selected leg muscle EMG and multi-segment foot kinematics in rheumatoid arthritis associated pes planovalgus. Gait & Posture. 36(3). 567–571. 19 indexed citations
7.
Booth, Jo, et al.. (2012). The relationship between urinary bladder control and gait in women. Neurourology and Urodynamics. 32(1). 43–47. 35 indexed citations
8.
Kerr, Andrew, et al.. (2011). Measuring foot placement and clearance during stair descent. Gait & Posture. 33(3). 504–506. 19 indexed citations
9.
Holdsworth, Lesley, et al.. (2010). Low back pain and physiotherapy use of red flags: the evidence from Scotland. Physiotherapy. 96(4). 282–288. 29 indexed citations
10.
Woodburn, James, Iain B. McInnes, Gordon Hendry, et al.. (2010). A reliability study of biomechanical foot function in psoriatic arthritis based on a novel multi-segmented foot model. Gait & Posture. 32(4). 619–626. 25 indexed citations
11.
Rochester, Lynn, et al.. (2009). Walking and talking: an investigation of cognitive—motor dual tasking in multiple sclerosis. Multiple Sclerosis Journal. 15(10). 1215–1227. 165 indexed citations
12.
Thow, Morag, et al.. (2009). Predicting adherence to phase III cardiac rehabilitation: should we be more optimistic?. ResearchOnline. 1 indexed citations
13.
Chastin, Sébastien, Philippa Dall, William Tigbe, et al.. (2009). Compliance with physical activity guidelines in a group of UK-based postal workers using an objective monitoring technique. European Journal of Applied Physiology. 106(6). 893–899. 44 indexed citations
14.
Paul, Lorna, Danny Rafferty, Leslie Wood, & W. M. Maclaren. (2008). Gait characteristics of subjects with chronic fatigue syndrome and controls at self-selected and matched velocities. Journal of NeuroEngineering and Rehabilitation. 5(1). 16–16. 8 indexed citations
15.
Howe, Tracey & Danny Rafferty. (2007). Quadriceps activity and physical activity profiles over long durations in patients with osteoarthritis of the knee and controls. Journal of Electromyography and Kinesiology. 19(2). e78–e83. 15 indexed citations
16.
Rafferty, Danny, et al.. (2006). Metabolic Cost of Overground Gait in Younger Stroke Patients and Healthy Controls. Medicine & Science in Sports & Exercise. 38(6). 1041–1046. 99 indexed citations
17.
Ferrell, William R., et al.. (2004). Amelioration of symptoms by enhancement of proprioception in patients with joint hypermobility syndrome. Arthritis & Rheumatism. 50(10). 3323–3328. 142 indexed citations
18.
Rafferty, Danny, et al.. (2000). The application of control limits analysis to the myometric assessment of motor performance in neuropathy patients. European Journal of Neurology. 7(4). 427–434. 2 indexed citations
19.
Clark, Andrew L., et al.. (1997). Exercise dynamics at submaximal workloads in patients with chronic heart failure. Journal of Cardiac Failure. 3(1). 15–19. 8 indexed citations
20.
Rafferty, Danny, et al.. (1992). Measurement of gait by accelerometer and walkway: A comparison study. Medical & Biological Engineering & Computing. 30(6). 669–670. 23 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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