Kévin Bouchard
- Computer Vision and Pattern Recognition top 2%
- Electrical and Electronic Engineering top 10%
- Biomedical Engineering
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Co-authors
- Sébastien GabouryJulien MaítreBruno BouchardAbdenour BouzouaneL. Paul BédardSylvain GirouxJulie BouchardNathalie Bier
- Topics
- Context-Aware Activity Recognition Systems (60 papers)Indoor and Outdoor Localization Technologies (28 papers)IoT and Edge/Fog Computing (18 papers)
- Cited by
- Computer Vision and Pattern RecognitionHuman-Computer InteractionComputer Networks and Communications
- 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
- Electrical and Electronic Engineering 326
- Biomedical Engineering 242
- Computer Networks and Communications 205
- Artificial Intelligence 180
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-authorship network of co-authors of Kévin Bouchard
This figure shows the co-authorship network connecting the top 25 collaborators of Kévin Bouchard. A scholar is included among the top collaborators of Kévin Bouchard 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 Kévin Bouchard. Kévin Bouchard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 8 | |
| 10 | 14 | |
| 11 | 8 | |
| 12 | 5 | |
| 13 | 1 | |
| 14 | 5 | |
| 15 | 4 | |
| 16 | 23 | |
| 17 | 17 | |
| 18 | Extracting Generalizable Spatial Features from Smart Phones Datasets. | 5 |
| 19 | Activity Prediction Based on Tme Series Forcasting | 1 |
| 20 | Spatiotemporal Knowledge Representation and Reasoning under Uncertainty for Action Recognition in Smart Homes | 4 |
About Kévin Bouchard
Kévin Bouchard is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Computer Networks and Communications, 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) and IoT and Edge/Fog Computing (18 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (496 citations), Human-Computer Interaction (86 citations) and Computer Networks and Communications (205 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, Nathalie Bier, Ramin Ramezani and Arash Naeim. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Sensors.
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.