Jean-François Collard⋆
- Neurology top 2%
- Molecular Biology
- Cell Biology top 5%
- Genetics top 5%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Jean‐Pierre JulienFrancine CôtéPaul FeautrierMaurice HinsenkampYves RaymondDenis BarthouMarc GouttefardeCédric Baradat
- Topics
- Parallel Computing and Optimization Techniques (15 papers)Robotic Mechanisms and Dynamics (12 papers)Embedded Systems Design Techniques (8 papers)
In The Last Decade
Jean-François Collard⋆
51 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 116
- Neurology 516
- Molecular Biology 468
- Cell Biology 337
- Genetics 310
- Cellular and Molecular Neuroscience 297
Countries citing papers authored by Jean-François Collard⋆
This map shows the geographic impact of Jean-François Collard⋆'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 Jean-François Collard⋆ with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean-François Collard⋆ more than expected).
Fields of papers citing papers by Jean-François Collard⋆
This network shows the impact of papers produced by Jean-François Collard⋆. 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 Jean-François Collard⋆. The network helps show where Jean-François Collard⋆ may publish in the future.
Co-authorship network of co-authors of Jean-François Collard⋆
This figure shows the co-authorship network connecting the top 25 collaborators of Jean-François Collard⋆. A scholar is included among the top collaborators of Jean-François Collard⋆ 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 Jean-François Collard⋆. Jean-François Collard⋆ 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 | 0 | |
| 3 | 31 | |
| 4 | 37 | |
| 5 | 16 | |
| 6 | Reasoning About Program Transformations: Imperative Programming and Flow of Data | 1 |
| 7 | 18 | |
| 8 | 24 | |
| 9 | Erythropoietin production can be enhanced by normobaric oxygen breathing in healthy humans. | 9 |
| 10 | 6 | |
| 11 | 34 | |
| 12 | 375 | |
| 13 | 3 | |
| 14 | Code Generation in Automatic Parallelizers | 13 |
| 15 | 458 | |
| 16 | 6 | |
| 17 | 11 | |
| 18 | 11 | |
| 19 | 17 | |
| 20 | 6 |
About Jean-François Collard⋆
Jean-François Collard⋆ is a scholar working on Hardware and Architecture, Control and Systems Engineering and Biophysics, having authored 55 papers that have together received 1.6k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (15 papers), Robotic Mechanisms and Dynamics (12 papers) and Embedded Systems Design Techniques (8 papers). The work is most often cited by research in Neurology (516 citations), Hardware and Architecture (216 citations) and Genetics (310 citations). Jean-François Collard⋆ has collaborated with scholars based in France, Belgium and Canada. Frequent co-authors include Jean‐Pierre Julien, Francine Côté, Paul Feautrier, Maurice Hinsenkamp, Yves Raymond, Denis Barthou, Marc Gouttefarde, Cédric Baradat, Paul Fisette and Jean‐Luc Senécal. Their work appears in journals such as Nature, Cell and Biochemical and Biophysical Research Communications.
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.