Myriam Côté
About
In The Last Decade
Myriam Côté
8 papers receiving 96 citations
Peers
Comparison fields: 5 of 49
- Computer Vision and Pattern Recognition 68
- Artificial Intelligence 45
- Signal Processing 8
- Computer Networks and Communications 6
- Media Technology 6
Countries citing papers authored by Myriam Côté
This map shows the geographic impact of Myriam Côté'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 Myriam Côté with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Myriam Côté more than expected).
Fields of papers citing papers by Myriam Côté
This network shows the impact of papers produced by Myriam Côté. 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 Myriam Côté. The network helps show where Myriam Côté may publish in the future.
Co-authorship network of co-authors of Myriam Côté
This figure shows the co-authorship network connecting the top 25 collaborators of Myriam Côté. A scholar is included among the top collaborators of Myriam Côté 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 Myriam Côté. Myriam Côté is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | Deep Learners Benefit More from Out-of-Distribution Examples | 52 |
| 4 | 7 | |
| 5 | 13 | |
| 6 | 9 | |
| 7 | 1 | |
| 8 | 16 | |
| 9 | Using reading models for cursive script recognition | 2 |
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.