Alexandre Drouin
Impact in
- Human-Computer Interaction top 1%
- Hand Gesture Recognition Systems
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
Papers in
-
- Genomics and Phylogenetic Studies 3
- Machine Learning in Bioinformatics 2
- Metabolomics and Mass Spectrometry Studies 2
-
- Catalytic C–H Functionalization Methods 2
- Co-authors
- François Laviolette (7 shared papers)Kyrre Glette (1 shared paper)Ulysse Côté‐Allard (1 shared paper)Cheikh Latyr Fall (1 shared paper)Alexandre Campeau‐Lecours (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 855 citations
Alexandre Drouin's Hit Papers
Peers
Comparison fields: 5 of 106
- Human-Computer Interaction 243
- Cognitive Neuroscience 280
- Molecular Medicine 60
- Biomedical Engineering 437
- Clinical Biochemistry 51
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 | 534 |
| 2 | 2016 | 86 | |
| 3 | 2019 | 75 | |
| 4 | 2003 | 59 | |
| 5 | 2013 | 42 | |
| 6 | 2010 | 36 | |
| 7 | 2010 | 16 | |
| 8 | 2006 | 11 | |
| 9 | Accelerated robust point cloud registration in natural environments through positive and unlabeled learning | 2013 | 6 |
| 10 | 2019 | 5 | |
| 11 | 2020 | 4 | |
| 12 | 2018 | 1 | |
| 13 | 2020 | 1 | |
| 14 | 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 14 papers that have together received 876 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (3 papers), Machine Learning in Bioinformatics (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Catalytic C–H Functionalization Methods (2 papers), Fluorine in Organic Chemistry (2 papers), Computational Drug Discovery Methods (1 paper), Robotics and Sensor-Based Localization (1 paper) and History and advancements in chemistry (1 paper). The work is most often cited by research in Human-Computer Interaction (243 citations), Cognitive Neuroscience (280 citations), Molecular Medicine (60 citations), Biomedical Engineering (437 citations) and Clinical Biochemistry (51 citations). Alexandre Drouin has collaborated with scholars based in Canada and Norway. Frequent co-authors include François Laviolette, Kyrre Glette, Ulysse Côté‐Allard, Cheikh Latyr Fall, Alexandre Campeau‐Lecours, Benoit Gosselin, Clément Gosselin, Jacques Corbeil, Mario Marchand and Jean Lessard. Their work appears in journals such as Scientific Reports, The Journal of Organic Chemistry, BMC Genomics, IEEE Transactions on Neural Systems and Rehabilitation Engineering and Tetrahedron Letters.
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.