Michael R. Dawson

1.9k total citations · 1 hit paper
39 papers, 1.4k citations indexed

About

Michael R. Dawson is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Michael R. Dawson has authored 39 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Biomedical Engineering, 17 papers in Cellular and Molecular Neuroscience and 10 papers in Cognitive Neuroscience. Recurrent topics in Michael R. Dawson's work include Muscle activation and electromyography studies (24 papers), Neuroscience and Neural Engineering (17 papers) and Advanced Sensor and Energy Harvesting Materials (11 papers). Michael R. Dawson is often cited by papers focused on Muscle activation and electromyography studies (24 papers), Neuroscience and Neural Engineering (17 papers) and Advanced Sensor and Energy Harvesting Materials (11 papers). Michael R. Dawson collaborates with scholars based in Canada, United States and United Kingdom. Michael R. Dawson's co-authors include Jason P. Carey, Jonathon S. Schofield, Garrett W. Melenka, B.K.O. Cheung, Jacqueline S. Hebert, Patrick M. Pilarski, K. Ming Chan, Richard S. Sutton, Thomas Degris and Farbod Fahimi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Psychological Review.

In The Last Decade

Michael R. Dawson

38 papers receiving 1.3k citations

Hit Papers

Evaluation and prediction of the tensile properties of co... 2016 2026 2019 2022 2016 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael R. Dawson Canada 16 720 588 393 316 299 39 1.4k
Jonathon S. Schofield United States 14 636 0.9× 621 1.1× 314 0.8× 328 1.0× 202 0.7× 36 1.3k
Alexandre Ferreira da Silva Portugal 18 872 1.2× 879 1.5× 167 0.4× 224 0.7× 164 0.5× 77 1.9k
Gerwin Smit Netherlands 15 829 1.2× 468 0.8× 112 0.3× 63 0.2× 192 0.6× 42 1.2k
Mohd Azizi Abdul Rahman Malaysia 21 666 0.9× 252 0.4× 204 0.5× 26 0.1× 78 0.3× 108 1.4k
Shinsuk Park South Korea 17 677 0.9× 86 0.1× 168 0.4× 78 0.2× 84 0.3× 67 1.2k
Joseph T. Belter United States 12 813 1.1× 141 0.2× 249 0.6× 42 0.1× 271 0.9× 16 1.0k
Sheng Li China 24 315 0.4× 416 0.7× 1.1k 2.7× 40 0.1× 69 0.2× 100 2.4k
Andrew Miller United States 18 1.2k 1.6× 139 0.2× 215 0.5× 47 0.1× 33 0.1× 26 2.2k
Rajiv Dubey United States 26 882 1.2× 92 0.2× 552 1.4× 19 0.1× 111 0.4× 153 2.6k
Lorenzo Molinari Tosatti Italy 25 983 1.4× 61 0.1× 252 0.6× 38 0.1× 26 0.1× 132 2.0k

Countries citing papers authored by Michael R. Dawson

Since Specialization
Citations

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

Fields of papers citing papers by Michael R. Dawson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael R. Dawson. 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 Michael R. Dawson. The network helps show where Michael R. Dawson may publish in the future.

Co-authorship network of co-authors of Michael R. Dawson

This figure shows the co-authorship network connecting the top 25 collaborators of Michael R. Dawson. A scholar is included among the top collaborators of Michael R. Dawson 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 Michael R. Dawson. Michael R. Dawson 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
2.
Dawson, Michael R., Heather E. Williams, Ahmed W. Shehata, et al.. (2024). Joint Action is a Framework for Understanding Partnerships Between Humans and Upper Limb Prostheses. 605–611. 1 indexed citations
3.
Dawson, Michael R., et al.. (2024). Improving endoscopy unit efficacy and retention through the provision of role-specific admin and clerical training. Frontline Gastroenterology. 15(5). 424–430. 1 indexed citations
4.
Dawson, Michael R., et al.. (2023). How Do Artificial Neural Networks Classify Musical Triads? A Case Study in Eluding Bonini's Paradox. Cognitive Science. 47(1). e13233–e13233. 1 indexed citations
6.
Dawson, Michael R., et al.. (2020). Defining the design requirements for an assistive powered hand exoskeleton: A pilot explorative interview study and case series. Prosthetics and Orthotics International. 45(2). 161–169. 40 indexed citations
8.
Günther, Johannes, et al.. (2019). Meta-learning for Predictive Knowledge Architectures: A Case Study Using TIDBD on a Sensor-rich Robotic Arm. Adaptive Agents and Multi-Agents Systems. 1967–1969. 2 indexed citations
9.
Schofield, Jonathon S., et al.. (2018). Real time monitoring of transtibial elevated vacuum prostheses: A case series on socket air pressure. PLoS ONE. 13(10). e0202716–e0202716. 5 indexed citations
10.
Marasco, Paul D., Jacqueline S. Hebert, Courtney E. Shell, et al.. (2018). Illusory movement perception improves motor control for prosthetic hands. Science Translational Medicine. 10(432). 131 indexed citations
11.
Dawson, Michael R., et al.. (2018). Design and Integration of an Inexpensive Wearable Mechanotactile Feedback System for Myoelectric Prostheses. IEEE Journal of Translational Engineering in Health and Medicine. 6. 1–11. 33 indexed citations
12.
Dawson, Michael R., Jacqueline S. Hebert, Craig Sherstan, et al.. (2015). Application of real-time machine learning to myoelectric prosthesis control. Prosthetics and Orthotics International. 40(5). 573–581. 45 indexed citations
13.
Hebert, Jacqueline S., Jaret L. Olson, Michael Morhart, et al.. (2014). Novel Targeted Sensory Reinnervation Technique to Restore Functional Hand Sensation After Transhumeral Amputation. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 22(4). 765–773. 100 indexed citations
14.
Pilarski, Patrick M., Michael R. Dawson, Thomas Degris, et al.. (2013). Adaptive artificial limbs: a real-time approach to prediction and anticipation. IEEE Robotics & Automation Magazine. 20(1). 53–64. 42 indexed citations
15.
Dawson, Michael R.. (2012). The Development of a Myoelectric Training Tool for Above-Elbow Amputees. The Open Biomedical Engineering Journal. 6(1). 5–15. 32 indexed citations
16.
Dawson, Michael R., Jason P. Carey, & Farbod Fahimi. (2011). Myoelectric training systems. Expert Review of Medical Devices. 8(5). 581–589. 31 indexed citations
17.
Pilarski, Patrick M., Michael R. Dawson, Thomas Degris, et al.. (2011). Online human training of a myoelectric prosthesis controller via actor-critic reinforcement learning. PubMed. 2011. 1–7. 93 indexed citations
18.
Boechler, Patricia, et al.. (2002). An Introduction to Custom WebBrowsers for the Qualitative Study of Hypertext Navigation. Journal of educational multimedia and hypermedia. 11(3). 221–235. 2 indexed citations
19.
Dawson, Michael R. & Corinne Zimmerman. (1999). A network interpretation approach to the balance scale task. 5 indexed citations
20.
Dawson, Michael R., et al.. (1994). Artificial neural networks that use single-photon emission tomography to identify patients with probable Alzheimer's disease. European Journal of Nuclear Medicine and Molecular Imaging. 21(12). 1303–1311. 24 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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