Alexandre Drouin
Impact in
- Human-Computer Interaction top 2%
- Hand Gesture Recognition Systems
- Gaze Tracking and Assistive Technology
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
Papers in
-
- Metabolomics and Mass Spectrometry Studies 2
- Machine Learning in Bioinformatics 2
- Genomics and Phylogenetic Studies 2
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- Catalytic C–H Functionalization Methods 2
- Cyclopropane Reaction Mechanisms 1
- Co-authors
- François Laviolette (7 shared papers)Alexandre Campeau‐Lecours (1 shared paper)Kyrre Glette (1 shared paper)Cheikh Latyr Fall (1 shared paper)Ulysse Côté‐Allard (1 shared paper)Benoit Gosselin (1 shared paper)Clément Gosselin (1 shared paper)Jacques Corbeil (5 shared papers)
In The Last Decade
Alexandre Drouin
13 papers receiving 905 citations
Alexandre Drouin's Hit Papers
Peers
Comparison fields: 5 of 106
- Human-Computer Interaction 250
- Cognitive Neuroscience 287
- Molecular Medicine 51
- Biomedical Engineering 455
- Hepatology 58
Countries citing papers authored by Alexandre Drouin
This map shows the geographic impact of Alexandre Drouin'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 Alexandre Drouin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexandre Drouin more than expected).
Fields of papers citing papers by Alexandre Drouin
This network shows the impact of papers produced by Alexandre Drouin. 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 Alexandre Drouin. The network helps show where Alexandre Drouin may publish in the future.
Co-authors
The 25 scholars most cited alongside Alexandre Drouin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning Hit paper breakdown → | 2019 | 566 |
| 2 | 2016 | 91 | |
| 3 | 2019 | 78 | |
| 4 | 2003 | 63 | |
| 5 | 2013 | 42 | |
| 6 | 2010 | 39 | |
| 7 | 2010 | 16 | |
| 8 | 2006 | 11 | |
| 9 | Accelerated robust point cloud registration in natural environments through positive and unlabeled learning | 2013 | 7 |
| 10 | 2019 | 5 | |
| 11 | 2020 | 4 | |
| 12 | 2020 | 1 | |
| 13 | 2018 | 1 | |
| 14 | 2023 | 0 | |
| 15 | 2025 | 0 |
About Alexandre Drouin
Alexandre Drouin is a scholar working on Molecular Biology, Organic Chemistry, Pharmaceutical Science, Biomedical Engineering and Infectious Diseases, having authored 15 papers that have together received 924 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (2 papers), Catalytic C–H Functionalization Methods (2 papers), Fluorine in Organic Chemistry (2 papers), Machine Learning in Bioinformatics (2 papers), Genomics and Phylogenetic Studies (2 papers), Cyclopropane Reaction Mechanisms (1 paper), Advanced Proteomics Techniques and Applications (1 paper) and Thermal and Kinetic Analysis (1 paper). The work is most often cited by research in Human-Computer Interaction (250 citations), Cognitive Neuroscience (287 citations), Molecular Medicine (51 citations), Biomedical Engineering (455 citations) and Hepatology (58 citations). Alexandre Drouin has collaborated with scholars based in Canada and Norway. Frequent co-authors include François Laviolette, Alexandre Campeau‐Lecours, Kyrre Glette, Cheikh Latyr Fall, Ulysse Côté‐Allard, Benoit Gosselin, Clément Gosselin, Jacques Corbeil, Mario Marchand and Jean Lessard. Their work appears in journals such as The Journal of Organic Chemistry, Scientific Reports, Analytical Chemistry, Tetrahedron Letters and Journal of Flow Chemistry.
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.