Peter W. Stubbs

594 total citations
50 papers, 383 citations indexed

About

Peter W. Stubbs is a scholar working on Rehabilitation, Epidemiology and Biomedical Engineering. According to data from OpenAlex, Peter W. Stubbs has authored 50 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Rehabilitation, 12 papers in Epidemiology and 12 papers in Biomedical Engineering. Recurrent topics in Peter W. Stubbs's work include Stroke Rehabilitation and Recovery (13 papers), Muscle activation and electromyography studies (12 papers) and Cerebral Palsy and Movement Disorders (8 papers). Peter W. Stubbs is often cited by papers focused on Stroke Rehabilitation and Recovery (13 papers), Muscle activation and electromyography studies (12 papers) and Cerebral Palsy and Movement Disorders (8 papers). Peter W. Stubbs collaborates with scholars based in Australia, Denmark and Netherlands. Peter W. Stubbs's co-authors include Jørgen Feldbæk Nielsen, Natalie Mrachacz‐Kersting, Thomas Sinkjær, Asger Roer Pedersen, Rob Herbert, Martin E. Héroux, Erhard Trillingsgaard Næss‐Schmidt, Hanne Pallesen, Joanna Diong and Jesper Mortensen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Physiology.

In The Last Decade

Peter W. Stubbs

45 papers receiving 379 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter W. Stubbs Australia 13 104 71 67 62 61 50 383
Suzy Ngomo Canada 13 113 1.1× 96 1.4× 153 2.3× 45 0.7× 36 0.6× 33 549
Johan Thunberg Sweden 11 98 0.9× 165 2.3× 76 1.1× 33 0.5× 47 0.8× 18 560
Clayton W. Swanson United States 9 57 0.5× 35 0.5× 84 1.3× 34 0.5× 74 1.2× 18 282
Sambit Mohapatra United States 10 60 0.6× 65 0.9× 45 0.7× 94 1.5× 81 1.3× 21 378
Geetanjali Gera United States 11 66 0.6× 90 1.3× 33 0.5× 53 0.9× 119 2.0× 15 323
Vlasta Hajek Canada 7 65 0.6× 125 1.8× 59 0.9× 132 2.1× 67 1.1× 8 554
Tadamitsu Matsuda Japan 9 75 0.7× 60 0.8× 58 0.9× 85 1.4× 73 1.2× 75 344
Chia-Cheng Lin United States 9 42 0.4× 59 0.8× 101 1.5× 29 0.5× 84 1.4× 19 355
Zulin Dou China 15 63 0.6× 96 1.4× 106 1.6× 123 2.0× 112 1.8× 91 734
Hélène Cassoudesalle France 9 50 0.5× 128 1.8× 91 1.4× 177 2.9× 68 1.1× 20 345

Countries citing papers authored by Peter W. Stubbs

Since Specialization
Citations

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

Fields of papers citing papers by Peter W. Stubbs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter W. Stubbs. 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 Peter W. Stubbs. The network helps show where Peter W. Stubbs may publish in the future.

Co-authorship network of co-authors of Peter W. Stubbs

This figure shows the co-authorship network connecting the top 25 collaborators of Peter W. Stubbs. A scholar is included among the top collaborators of Peter W. Stubbs 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 Peter W. Stubbs. Peter W. Stubbs 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.
Anderson, David, Peter W. Stubbs, Rachelle Buchbinder, et al.. (2025). Pain and physical function are common core domains across 40 core outcome sets of musculoskeletal conditions: a systematic review. Journal of Clinical Epidemiology. 180. 111687–111687. 3 indexed citations
3.
Stubbs, Peter W., et al.. (2024). Are Middle- or Older-Aged Adults With a Spinal Cord Injury Engaging in Leisure-Time Physical Activity? A Systematic Review and Meta-Analysis. SHILAP Revista de lepidopterología. 6(2). 100335–100335.
5.
Bryant, Lucy, et al.. (2024). Interacting with virtual characters, objects and environments: investigating immersive virtual reality in rehabilitation. Disability and Rehabilitation Assistive Technology. 20(1). 107–117. 1 indexed citations
6.
Elkins, Mark R., et al.. (2023). Clinical trial registration has become more prevalent in physical therapy but it is still inadequate: A meta-research study. Musculoskeletal Science and Practice. 67. 102854–102854. 4 indexed citations
7.
Stubbs, Peter W., et al.. (2023). Regression-based prognostic models for functional independence after postacute brain injury rehabilitation are not transportable: a systematic review. Journal of Clinical Epidemiology. 156. 53–65. 3 indexed citations
8.
Bryant, Lucy, Peter W. Stubbs, Benjamin Bailey, et al.. (2022). Collaborative co-design and evaluation of an immersive virtual reality application prototype for communication rehabilitation (DISCOVR prototype). Disability and Rehabilitation Assistive Technology. 19(1). 90–99. 15 indexed citations
9.
10.
McCambridge, Alana B., Peter W. Stubbs, J Fabricius, et al.. (2021). Externally validated model predicting gait independence after stroke showed fair performance and improved after updating. Journal of Clinical Epidemiology. 137. 73–82. 6 indexed citations
11.
Stubbs, Peter W., et al.. (2020). Abstract spin in physiotherapy interventions using virtual reality or robotics: protocol for two Meta-research reviews. Physical Therapy Reviews. 26(2). 102–108.
12.
Næss‐Schmidt, Erhard Trillingsgaard, et al.. (2020). Cohort profile: Design and implementation of the Danish Physiotherapy Research Database for patients receiving primary care with chronic disease. BMJ Open. 10(11). e040207–e040207. 1 indexed citations
13.
Næss‐Schmidt, Erhard Trillingsgaard, et al.. (2019). Neuromuscular effects of dorsiflexor training with and without blood flow restriction. Heliyon. 5(8). e02341–e02341. 9 indexed citations
14.
Stubbs, Peter W., et al.. (2019). The effect of unilateral blood flow restriction on temporal and spatial gait parameters. Heliyon. 5(1). e01146–e01146. 13 indexed citations
15.
Stubbs, Peter W. & Jesper Mortensen. (2019). Clinimetrics: The Scandinavian Stroke Scale. Journal of physiotherapy. 66(2). 132–132. 12 indexed citations
16.
Stubbs, Peter W., et al.. (2018). Between session reliability of heel-to-toe progression measurements in the stance phase of gait. PLoS ONE. 13(7). e0200436–e0200436. 11 indexed citations
17.
Stubbs, Peter W., et al.. (2013). Standard Assumptions About the Trial-by-Trial Distribution of Averaged Electromyography Data Could Produce Erroneous Results. Motor Control. 17(1). 75–94. 5 indexed citations
18.
Stubbs, Peter W., Jørgen Feldbæk Nielsen, Thomas Sinkjær, & Natalie Mrachacz‐Kersting. (2011). Short-latency crossed spinal responses are impaired differently in sub-acute and chronic stroke patients. Clinical Neurophysiology. 123(3). 541–549. 17 indexed citations
19.
Stubbs, Peter W., Jørgen Feldbæk Nielsen, Thomas Sinkjær, & Natalie Mrachacz‐Kersting. (2010). Phase Modulation of the Short-Latency Crossed Spinal Response in the Human Soleus Muscle. Journal of Neurophysiology. 105(2). 503–511. 25 indexed citations
20.
Stubbs, Peter W. & Natalie Mrachacz‐Kersting. (2009). Short-Latency Crossed Inhibitory Responses in the Human Soleus Muscle. Journal of Neurophysiology. 102(6). 3596–3605. 34 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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