Sue Mawson

2.0k total citations
63 papers, 1.3k citations indexed

About

Sue Mawson is a scholar working on Rehabilitation, Public Health, Environmental and Occupational Health and Psychiatry and Mental health. According to data from OpenAlex, Sue Mawson has authored 63 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Rehabilitation, 13 papers in Public Health, Environmental and Occupational Health and 13 papers in Psychiatry and Mental health. Recurrent topics in Sue Mawson's work include Stroke Rehabilitation and Recovery (25 papers), Cerebral Palsy and Movement Disorders (10 papers) and Telemedicine and Telehealth Implementation (8 papers). Sue Mawson is often cited by papers focused on Stroke Rehabilitation and Recovery (25 papers), Cerebral Palsy and Movement Disorders (10 papers) and Telemedicine and Telehealth Implementation (8 papers). Sue Mawson collaborates with scholars based in United Kingdom, Spain and United States. Sue Mawson's co-authors include Jack Parker, Simon Brownsell, David Brennan, Lauren Powell, Stephen J. Walters, Chris Littlewood, Gail Mountain, Stephen May, Huiru Zheng and Richard Davies and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Journal of Medical Internet Research.

In The Last Decade

Sue Mawson

60 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sue Mawson United Kingdom 22 448 230 201 201 200 63 1.3k
Bruno Bonnechère Belgium 20 438 1.0× 131 0.6× 148 0.7× 391 1.9× 114 0.6× 129 1.5k
Charles E. Levy United States 23 441 1.0× 228 1.0× 88 0.4× 322 1.6× 120 0.6× 79 1.6k
Dahlia Kairy Canada 20 718 1.6× 633 2.8× 143 0.7× 275 1.4× 286 1.4× 91 1.7k
Sara Demain United Kingdom 23 624 1.4× 234 1.0× 74 0.4× 359 1.8× 297 1.5× 53 1.6k
Martin Rydmark Sweden 20 487 1.1× 360 1.6× 153 0.8× 277 1.4× 640 3.2× 62 2.5k
Jeffrey M. Rogers Australia 24 379 0.8× 227 1.0× 312 1.6× 326 1.6× 78 0.4× 66 2.1k
Paweł Kiper Italy 21 885 2.0× 137 0.6× 103 0.5× 331 1.6× 66 0.3× 76 1.7k
Claudia Giacomozzi Italy 26 496 1.1× 250 1.1× 195 1.0× 187 0.9× 51 0.3× 85 1.8k
Rocío Martín‐Valero Spain 16 210 0.5× 204 0.9× 188 0.9× 155 0.8× 70 0.3× 74 942
Jennifer Nitz Australia 21 289 0.6× 199 0.9× 297 1.5× 630 3.1× 134 0.7× 77 1.8k

Countries citing papers authored by Sue Mawson

Since Specialization
Citations

This map shows the geographic impact of Sue Mawson'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 Sue Mawson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sue Mawson more than expected).

Fields of papers citing papers by Sue Mawson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sue Mawson. 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 Sue Mawson. The network helps show where Sue Mawson may publish in the future.

Co-authorship network of co-authors of Sue Mawson

This figure shows the co-authorship network connecting the top 25 collaborators of Sue Mawson. A scholar is included among the top collaborators of Sue Mawson 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 Sue Mawson. Sue Mawson 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.
Mawson, Sue, A. Mark Williams, Jeanine K. Stefanucci, et al.. (2025). A comparison of perceived and actual ability level in expert and less expert athletes using a sport-specific task. Journal of Sports Sciences. 43(7). 708–718.
2.
Rennick‐Egglestone, Stefan & Sue Mawson. (2021). Homes of Stroke Survivors Are a Challenging Environment for Rehabilitation Technologies. JMIR Rehabilitation and Assistive Technologies. 8(2). e12029–e12029. 7 indexed citations
3.
Rennick‐Egglestone, Stefan & Sue Mawson. (2021). Correction: Homes of Stroke Survivors Are a Challenging Environment for Rehabilitation Technologies. JMIR Rehabilitation and Assistive Technologies. 8(3). e32418–e32418. 1 indexed citations
4.
Ariss, Steven, et al.. (2021). Mobile technology and delegated work in specialist community services: the EnComPaSS Integration project. BMJ Supportive & Palliative Care. 14(e1). e1144–e1151. 3 indexed citations
7.
Hobson, Esther, Wendy Baird, Mike Bradburn, et al.. (2019). Process evaluation and exploration of telehealth in motor neuron disease in a UK specialist centre. BMJ Open. 9(10). e028526–e028526. 25 indexed citations
8.
Hobson, Esther, Wendy Baird, Mike Bradburn, et al.. (2019). Using telehealth in motor neuron disease to increase access to specialist multidisciplinary care: a UK-based pilot and feasibility study. BMJ Open. 9(10). e028525–e028525. 21 indexed citations
9.
Powell, Lauren, Jack Parker, Valerie Harpin, & Sue Mawson. (2019). Guideline Development for Technological Interventions for Children and Young People to Self-Manage Attention Deficit Hyperactivity Disorder: Realist Evaluation. Journal of Medical Internet Research. 21(4). e12831–e12831. 15 indexed citations
11.
Parker, Jack, et al.. (2018). Upper limb activity in chronic post-stroke survivors: A comparison of accelerometry data with the Action Research Arm Test (ARAT). Annals of Physical and Rehabilitation Medicine. 61. e187–e187. 1 indexed citations
12.
Mawson, Sue, Nasrin Nasr, Jack Parker, et al.. (2016). A Personalized Self-Management Rehabilitation System with an Intelligent Shoe for Stroke Survivors: A Realist Evaluation. JMIR Rehabilitation and Assistive Technologies. 3(1). e1–e1. 36 indexed citations
13.
Littlewood, Chris, Sue Mawson, Stephen May, & Stephen J. Walters. (2015). Understanding the barriers and enablers to implementation of a self-managed exercise intervention: a qualitative study. Physiotherapy. 101(3). 279–285. 20 indexed citations
14.
Parker, Jack, Sue Mawson, Gail Mountain, Nasrin Nasr, & Huiru Zheng. (2014). Stroke patients’ utilisation of extrinsic feedback from computer-based technology in the home: a multiple case study realistic evaluation. BMC Medical Informatics and Decision Making. 14(1). 46–46. 28 indexed citations
15.
Littlewood, Chris, Peter Malliaras, Sue Mawson, Stephen May, & Stephen J. Walters. (2013). Patients with rotator cuff tendinopathy can successfully self-manage, but with certain caveats: a qualitative study. Physiotherapy. 100(1). 80–85. 27 indexed citations
16.
Littlewood, Chris, Peter Malliaras, Sue Mawson, Stephen May, & Stephen J. Walters. (2013). Self-managed loaded exercise versus usual physiotherapy treatment for rotator cuff tendinopathy: a pilot randomised controlled trial. Physiotherapy. 100(1). 54–60. 45 indexed citations
17.
Mawson, Sue, Nasrin Nasr, Jack Parker, et al.. (2013). Developing a personalised self-management system for post stroke rehabilitation; utilising a user-centred design methodology. Disability and Rehabilitation Assistive Technology. 9(6). 521–528. 45 indexed citations
18.
Parker, Jack, Sue Mawson, Gail Mountain, et al.. (2013). The provision of feedback through computer-based technology to promote self-managed post-stroke rehabilitation in the home. Disability and Rehabilitation Assistive Technology. 9(6). 529–538. 20 indexed citations
19.
Littlewood, Chris, Peter Malliaras, Sue Mawson, Stephen May, & Stephen J. Walters. (2013). Development of a self-managed loaded exercise programme for rotator cuff tendinopathy. Physiotherapy. 99(4). 358–362. 29 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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