Andrew Hamilton-Wright

1.0k total citations
35 papers, 709 citations indexed

About

Andrew Hamilton-Wright is a scholar working on Artificial Intelligence, Biomedical Engineering and Cognitive Neuroscience. According to data from OpenAlex, Andrew Hamilton-Wright has authored 35 papers receiving a total of 709 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 14 papers in Biomedical Engineering and 7 papers in Cognitive Neuroscience. Recurrent topics in Andrew Hamilton-Wright's work include Muscle activation and electromyography studies (13 papers), Neural Networks and Applications (7 papers) and Fuzzy Logic and Control Systems (5 papers). Andrew Hamilton-Wright is often cited by papers focused on Muscle activation and electromyography studies (13 papers), Neural Networks and Applications (7 papers) and Fuzzy Logic and Control Systems (5 papers). Andrew Hamilton-Wright collaborates with scholars based in Canada, United States and Australia. Andrew Hamilton-Wright's co-authors include Daniel W. Stashuk, Mathew Piasecki, Alex Ireland, Jamie S. McPhee, David A. Jones, Hossein Parsaei, Julian P. Saboisky, John Trinder, Atul Malhotra and Sanjeev D. Nandedkar and has published in prestigious journals such as PLoS ONE, The Journal of Physiology and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Andrew Hamilton-Wright

35 papers receiving 696 citations

Peers

Andrew Hamilton-Wright

PHYSI

CMN

Roman Gonzenbach Switzerland

Erika G. Spaich Denmark

A. Yu. Meigal Russia

Yoko Suzuki Japan

Claudia Casellato Italy

Juan M. Gandarías Spain

Akimasa Ishida Japan

Björn Falck Finland

S.L. Lehman United States

Maryam Mohebbi Iran

Roman Gonzenbach Switzerland

Andrew Hamilton-Wright

224 ×0.6

94 ×0.4

75 ×0.4

PHYSI

244 ×3.0

CMN

17 ×0.2

Citations per year, relative to Andrew Hamilton-Wright Andrew Hamilton-Wright (= 1×) peers Roman Gonzenbach

Countries citing papers authored by Andrew Hamilton-Wright

Since Specialization

Citations

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

Fields of papers citing papers by Andrew Hamilton-Wright

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew Hamilton-Wright. 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 Andrew Hamilton-Wright. The network helps show where Andrew Hamilton-Wright may publish in the future.

Co-authorship network of co-authors of Andrew Hamilton-Wright

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Hamilton-Wright. A scholar is included among the top collaborators of Andrew Hamilton-Wright 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 Andrew Hamilton-Wright. Andrew Hamilton-Wright is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Oliver, Michele, et al.. (2025). Can Machine Learning Enhance Computer Vision-Predicted Wrist Kinematics Determined from a Low-Cost Motion Capture System?. Applied Sciences. 15(7). 3552–3552. 1 indexed citations

Hamilton-Wright, Andrew, et al.. (2023). Predicting Wrist Posture during Occupational Tasks Using Inertial Sensors and Convolutional Neural Networks. Sensors. 23(2). 942–942. 2 indexed citations

Khan, Hassan, et al.. (2022). Revisiting the Security of Biometric Authentication Systems Against Statistical Attacks. ACM Transactions on Privacy and Security. 26(2). 1–30. 2 indexed citations

Zabihollahy, Fatemeh, et al.. (2021). Deep learning-based detection of COVID-19 from chest x-ray images. 4 indexed citations

Gharagozloo, Marjan, et al.. (2021). Machine Learning in Modeling of Mouse Behavior. Frontiers in Neuroscience. 15. 700253–700253. 9 indexed citations

Hamilton-Wright, Andrew, et al.. (2020). Machine learning techniques to identify mind-wandering and predict hazard response time in fully immersive driving simulation. Soft Computing. 25(2). 1239–1247. 10 indexed citations

Hamilton-Wright, Andrew, et al.. (2015). Assessing ergonomic and postural data for pain and fatigue markers using machine learning techniques. 1–6. 1 indexed citations

Hamilton-Wright, Andrew, et al.. (2014). Characterizing EMG data using machine-learning tools. Computers in Biology and Medicine. 51. 1–13. 113 indexed citations

Saboisky, Julian P., Daniel W. Stashuk, Andrew Hamilton-Wright, et al.. (2014). Effects of Aging on Genioglossus Motor Units in Humans. PLoS ONE. 9(8). e104572–e104572. 22 indexed citations

10.

Saboisky, Julian P., Daniel W. Stashuk, Andrew Hamilton-Wright, et al.. (2011). Neurogenic Changes in the Upper Airway of Patients with Obstructive Sleep Apnea. American Journal of Respiratory and Critical Care Medicine. 185(3). 322–329. 84 indexed citations

11.

Hamilton-Wright, Andrew, et al.. (2010). Bayesian aggregation versus majority vote in the characterization of non-specific arm pain based on quantitative needle electromyography. Journal of NeuroEngineering and Rehabilitation. 7(1). 8–8. 3 indexed citations

12.

Parsaei, Hossein, et al.. (2010). Validating motor unit firing patterns extracted by EMG signal decomposition. Medical & Biological Engineering & Computing. 49(6). 649–658. 14 indexed citations

13.

Hamilton-Wright, Andrew, et al.. (2010). A Review of Clinical Quantitative Electromyography. Critical Reviews in Biomedical Engineering. 38(5). 467–485. 34 indexed citations

14.

Nashed, Joseph Y., et al.. (2010). Assessing motor deficits in compressive neuropathy using quantitative electromyography. Journal of NeuroEngineering and Rehabilitation. 7(1). 39–39. 9 indexed citations

15.

Parsaei, Hossein, et al.. (2010). Intramuscular EMG Signal Decomposition. Critical Reviews in Biomedical Engineering. 38(5). 435–465. 35 indexed citations

16.

Parsaei, Hossein, et al.. (2009). Validation of motor unit potential trains using motor unit firing pattern information. PubMed. 2009. 974–977. 6 indexed citations

17.

Hamilton-Wright, Andrew, et al.. (2009). Evidence aggregation for diagnosis: Bayesian and fuzzy strategies. 1–5. 1 indexed citations

18.

Hamilton-Wright, Andrew & Daniel W. Stashuk. (2006). Comparing "pattern discovery" and back-propagation classifiers. Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.. 2. 1286–1291. 3 indexed citations

19.

Hamilton-Wright, Andrew & Daniel W. Stashuk. (2005). Physiologically Based Simulation of Clinical EMG Signals. IEEE Transactions on Biomedical Engineering. 52(2). 171–183. 76 indexed citations

20.

Hamilton-Wright, Andrew & Daniel W. Stashuk. (2005). A Proposed Framework for Incorporating `Weight of Evidence' Within A Fuzzy Rule Based Classification System. 466–471. 4 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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