François Grondin
- Cardiology and Cardiovascular Medicine top 5%
- Signal Processing top 2%
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Surgery
- Co-authors
- François MichaudShaun G. GoodmanAndrew T. YanRaymond T. YanKim A. EagleRobert C. WelshDominic LétourneauThao Huynh
- Topics
- Speech and Audio Processing (20 papers)Acute Myocardial Infarction Research (17 papers)Music and Audio Processing (12 papers)
- Journals
- CirculationSHILAP Revista de lepidopterologíaThe American Journal of Medicine
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
François Grondin
65 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 118
- Cardiology and Cardiovascular Medicine 589
- Signal Processing 271
- Artificial Intelligence 178
- Radiology, Nuclear Medicine and Imaging 154
- Surgery 148
Countries citing papers authored by François Grondin
This map shows the geographic impact of François Grondin'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 François Grondin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites François Grondin more than expected).
Fields of papers citing papers by François Grondin
This network shows the impact of papers produced by François Grondin. 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 François Grondin. The network helps show where François Grondin may publish in the future.
Co-authorship network of co-authors of François Grondin
This figure shows the co-authorship network connecting the top 25 collaborators of François Grondin. A scholar is included among the top collaborators of François Grondin 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 François Grondin. François Grondin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 12 | |
| 5 | 10 | |
| 6 | 50 | |
| 7 | 27 | |
| 8 | 7 | |
| 9 | 15 | |
| 10 | 19 | |
| 11 | 22 | |
| 12 | 15 | |
| 13 | 11 | |
| 14 | 19 | |
| 15 | 24 | |
| 16 | 26 | |
| 17 | A Model for the Sawing and Grading of Lumber According to Knots | 0 |
| 18 | Improvements of the Dynamic Programming Algorithm for tree Bucking | 7 |
| 19 | Improving Structural Lumber Quality in a Sample of Picea Mariana Logs Sawn According to the Knots | 11 |
| 20 | 0 |
About François Grondin
François Grondin is a scholar working on Signal Processing, Cardiology and Cardiovascular Medicine and Family Practice, having authored 69 papers that have together received 1.2k indexed citations. Recurring topics across this work include Speech and Audio Processing (20 papers), Acute Myocardial Infarction Research (17 papers) and Music and Audio Processing (12 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (589 citations), Signal Processing (271 citations) and Family Practice (26 citations). François Grondin has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include François Michaud, Shaun G. Goodman, Andrew T. Yan, Raymond T. Yan, Kim A. Eagle, Robert C. Welsh, Dominic Létourneau, Thao Huynh, Barry Rose and Richard L. Gallo. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and The American Journal of Medicine.
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.