Dawn MacIsaac

759 total citations
30 papers, 542 citations indexed

About

Dawn MacIsaac is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Dawn MacIsaac has authored 30 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Biomedical Engineering, 8 papers in Cognitive Neuroscience and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Dawn MacIsaac's work include Muscle activation and electromyography studies (24 papers), Advanced Sensor and Energy Harvesting Materials (12 papers) and EEG and Brain-Computer Interfaces (6 papers). Dawn MacIsaac is often cited by papers focused on Muscle activation and electromyography studies (24 papers), Advanced Sensor and Energy Harvesting Materials (12 papers) and EEG and Brain-Computer Interfaces (6 papers). Dawn MacIsaac collaborates with scholars based in Canada. Dawn MacIsaac's co-authors include Daniel R. Rogers, Adrian D. C. Chan, P.A. Parker, James R. Green, Sean P. Martin, Robert N. Scott, Kevin Englehart, Erik Scheme, Weichang Du and Yevgen Biletskiy and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, IEEE Transactions on Instrumentation and Measurement and Computers in Biology and Medicine.

In The Last Decade

Dawn MacIsaac

30 papers receiving 522 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dawn MacIsaac Canada 12 447 247 87 83 78 30 542
Olivier Buttelli France 12 354 0.8× 199 0.8× 55 0.6× 46 0.6× 192 2.5× 54 644
D. Gamet France 11 397 0.9× 184 0.7× 31 0.4× 85 1.0× 158 2.0× 23 536
P. A. Karthick India 12 289 0.6× 199 0.8× 38 0.4× 49 0.6× 49 0.6× 35 456
Shey-Sheen Chang United States 6 438 1.0× 282 1.1× 27 0.3× 122 1.5× 73 0.9× 7 512
Ali Maleki Iran 11 166 0.4× 188 0.8× 89 1.0× 72 0.9× 27 0.3× 59 409
Sofiane Boudaoud France 12 328 0.7× 225 0.9× 42 0.5× 75 0.9× 23 0.3× 46 479
François Nougarou Canada 14 249 0.6× 203 0.8× 33 0.4× 38 0.5× 53 0.7× 44 623
Giacinto Luigi Cerone Italy 11 345 0.8× 173 0.7× 11 0.1× 69 0.8× 53 0.7× 36 440
Fabien Massé Switzerland 11 197 0.4× 79 0.3× 66 0.8× 16 0.2× 32 0.4× 21 423
Daniele Esposito Italy 15 732 1.6× 251 1.0× 187 2.1× 154 1.9× 14 0.2× 45 870

Countries citing papers authored by Dawn MacIsaac

Since Specialization
Citations

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

Fields of papers citing papers by Dawn MacIsaac

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dawn MacIsaac

This figure shows the co-authorship network connecting the top 25 collaborators of Dawn MacIsaac. A scholar is included among the top collaborators of Dawn MacIsaac 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 Dawn MacIsaac. Dawn MacIsaac 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.
MacIsaac, Dawn, et al.. (2024). Self-supervised learning via VICReg enables training of EMG pattern recognition using continuous data with unclear labels. Computers in Biology and Medicine. 185. 109479–109479. 4 indexed citations
2.
MacIsaac, Dawn, et al.. (2023). Decision-Change Informed Rejection Improves Robustness in Pattern Recognition-Based Myoelectric Control. IEEE Journal of Biomedical and Health Informatics. 27(12). 6051–6061. 11 indexed citations
3.
MacIsaac, Dawn, et al.. (2022). A Review of Techniques for Surface Electromyography Signal Quality Analysis. IEEE Reviews in Biomedical Engineering. 16. 472–486. 48 indexed citations
4.
MacIsaac, Dawn, et al.. (2022). Automated Biomedical Signal Quality Assessment of Electromyograms: Current Challenges and Future Prospects. IEEE Instrumentation & Measurement Magazine. 25(1). 12–19. 8 indexed citations
5.
MacIsaac, Dawn, et al.. (2018). Myosim 2.0: Enhancing and Validating an EMG Simulation Tool. 41. 1 indexed citations
6.
Rogers, Daniel R. & Dawn MacIsaac. (2013). A comparison of EMG-based muscle fatigue assessments during dynamic contractions. Journal of Electromyography and Kinesiology. 23(5). 1004–1011. 44 indexed citations
7.
Chan, Adrian D. C., et al.. (2013). Biosignal quality analysis of surface EMG using a correlation coefficient test for normality. 196–200. 16 indexed citations
8.
MacIsaac, Dawn, Chris Diduch, & Esam M.A. Hussein. (2012). Assessment-focused Model for Monitoring Student Attributes. Proceedings of the Canadian Engineering Education Association (CEEA). 1 indexed citations
9.
Rogers, Daniel R. & Dawn MacIsaac. (2011). EMG-based muscle fatigue assessment during dynamic contractions using principal component analysis. Journal of Electromyography and Kinesiology. 21(5). 811–818. 48 indexed citations
10.
MacIsaac, Dawn, et al.. (2011). CLEANEMG: Quantifying Power Line Interference in Surface EMG Signals. 34. 7 indexed citations
11.
Chan, Adrian D. C., et al.. (2011). CleanEMG — Power line interference estimation in sEMG using an adaptive least squares algorithm. PubMed. 2011. 7941–7944. 12 indexed citations
12.
13.
Du, Weichang, et al.. (2010). An Ontology-based Software Test Generation Framework.. Software Engineering and Knowledge Engineering. 13(4). 192–197. 9 indexed citations
14.
Du, Weichang, et al.. (2009). Knowledge-based Software Test Generation.. Software Engineering and Knowledge Engineering. 312–317. 8 indexed citations
15.
Rogers, Daniel R. & Dawn MacIsaac. (2009). Training a multivariable myoelectric mapping function to estimate fatigue. Journal of Electromyography and Kinesiology. 20(5). 953–960. 9 indexed citations
16.
MacIsaac, Dawn, P.A. Parker, Kevin Englehart, & Daniel R. Rogers. (2006). Fatigue Estimation With a Multivariable Myoelectric Mapping Function. IEEE Transactions on Biomedical Engineering. 53(4). 694–700. 41 indexed citations
17.
Englehart, Kevin & Dawn MacIsaac. (2006). The Science in Science Fiction's Artificial Men. 1 indexed citations
18.
Martin, Sean P. & Dawn MacIsaac. (2005). Innervation zone shift with changes in joint angle in the brachial biceps. Journal of Electromyography and Kinesiology. 16(2). 144–148. 52 indexed citations
19.
MacIsaac, Dawn, P.A. Parker, & Robert N. Scott. (2001). The short-time Fourier transform and muscle fatigue assessment in dynamic contractions. Journal of Electromyography and Kinesiology. 11(6). 439–449. 65 indexed citations
20.
Scott, Robert N., Dawn MacIsaac, & P.A. Parker. (2000). Non-stationary Myoelectric Signals and Muscle Fatigue. Methods of Information in Medicine. 39(2). 125–129. 5 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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