Kévin Bouchard
Impact in
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- Context-Aware Activity Recognition Systems
- Human-Computer Interaction top 5%
Papers in
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- Context-Aware Activity Recognition Systems 60
- Human Pose and Action Recognition 9
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- Indoor and Outdoor Localization Technologies 28
- IoT-based Smart Home Systems 14
- Co-authors
- Sébastien Gaboury (68 shared papers)Julien Maítre (22 shared papers)Bruno Bouchard (37 shared papers)Abdenour Bouzouane (27 shared papers)L. Paul Bédard (4 shared papers)Sylvain Giroux (21 shared papers)Julie Bouchard (2 shared papers)Arash Naeim (3 shared papers)
- Journals
- Journal of Ambient Intelligence and Humanized Computing (4 papers)Sensors (4 papers)Journal of Reliable Intelligent Environments (4 papers)IEEE Access (3 papers)Expert Systems with Applications (3 papers)
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
Kévin Bouchard
103 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 122
- Computer Vision and Pattern Recognition 496
- Human-Computer Interaction 86
- Computer Networks and Communications 205
- Media Technology 72
- Demography 69
Countries citing papers authored by Kévin Bouchard
This map shows the geographic impact of Kévin Bouchard'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 Kévin Bouchard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kévin Bouchard more than expected).
Fields of papers citing papers by Kévin Bouchard
This network shows the impact of papers produced by Kévin Bouchard. 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 Kévin Bouchard. The network helps show where Kévin Bouchard may publish in the future.
Co-authors
The 25 scholars most cited alongside Kévin Bouchard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 115 | |
| 2 | 2020 | 84 | |
| 3 | 2015 | 80 | |
| 4 | 2020 | 64 | |
| 5 | 2020 | 60 | |
| 6 | 2012 | 41 | |
| 7 | 2020 | 39 | |
| 8 | 2022 | 37 | |
| 9 | 1999 | 24 | |
| 10 | 2020 | 23 | |
| 11 | 2012 | 22 | |
| 12 | 2013 | 22 | |
| 13 | 2020 | 21 | |
| 14 | 2013 | 18 | |
| 15 | 2018 | 18 | |
| 16 | 2019 | 18 | |
| 17 | 2018 | 17 | |
| 18 | 2016 | 16 | |
| 19 | 2014 | 16 | |
| 20 | 2014 | 16 |
About Kévin Bouchard
Kévin Bouchard is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Computer Networks and Communications, Biomedical Engineering and Artificial Intelligence, having authored 109 papers that have together received 1.2k indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (60 papers), Indoor and Outdoor Localization Technologies (28 papers), IoT and Edge/Fog Computing (18 papers), IoT-based Smart Home Systems (14 papers), Non-Invasive Vital Sign Monitoring (10 papers), Human Pose and Action Recognition (9 papers), Gait Recognition and Analysis (8 papers) and Technology Use by Older Adults (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (496 citations), Human-Computer Interaction (86 citations), Computer Networks and Communications (205 citations), Media Technology (72 citations) and Demography (69 citations). Kévin Bouchard has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Sébastien Gaboury, Julien Maítre, Bruno Bouchard, Abdenour Bouzouane, L. Paul Bédard, Sylvain Giroux, Julie Bouchard, Arash Naeim, Nathalie Bier and Ramin Ramezani. Their work appears in journals such as Journal of Ambient Intelligence and Humanized Computing, Sensors, Journal of Reliable Intelligent Environments, IEEE Access and Expert Systems with Applications.
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.