D. Poussart
- Cellular and Molecular Neuroscience top 10%
- Molecular Biology
- Cognitive Neuroscience top 10%
- Computer Vision and Pattern Recognition top 10%
- Electrochemistry top 5%
- Co-authors
- Lee E. MooreDenis LaurendeauHarvey M. FishmanH. FishmanRobert BergevinXavier MaldagueJean-Claude KrapezM. Tremblay
- Topics
- CCD and CMOS Imaging Sensors (12 papers)Neuroscience and Neural Engineering (11 papers)Neural dynamics and brain function (10 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
D. Poussart
53 papers receiving 517 citations
Peers
Comparison fields: 5 of 88
- Cellular and Molecular Neuroscience 235
- Molecular Biology 173
- Cognitive Neuroscience 118
- Computer Vision and Pattern Recognition 105
- Electrochemistry 93
Countries citing papers authored by D. Poussart
This map shows the geographic impact of D. Poussart'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 D. Poussart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Poussart more than expected).
Fields of papers citing papers by D. Poussart
This network shows the impact of papers produced by D. Poussart. 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 D. Poussart. The network helps show where D. Poussart may publish in the future.
Co-authorship network of co-authors of D. Poussart
This figure shows the co-authorship network connecting the top 25 collaborators of D. Poussart. A scholar is included among the top collaborators of D. Poussart 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 D. Poussart. D. Poussart is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | IMAGE: Simulation for Understanding Complex Situations and Increasing Future Force Agility | 7 |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 6 | |
| 5 | 3 | |
| 6 | Designing Virtual Environments for Critical Transactions and Collaborative Interventions: the VERTEX/APIA Framework for Networked, Physics-Compliant Objects | 1 |
| 7 | COMPUTATIONAL MOTION SENSORS FOR AUTOGUIDED VEHICLES | 1 |
| 8 | ATREF: Application des Technologies Robotiques aux Équipements Forestiers | 3 |
| 9 | 6 | |
| 10 | 1 | |
| 11 | 7 | |
| 12 | 18 | |
| 13 | 8 | |
| 14 | 11 | |
| 15 | 15 | |
| 16 | Ion movements and kinetics in squid axon II. Spontaneous electrical fluctuations. | 14 |
| 17 | 7 | |
| 18 | 9 | |
| 19 | 0 | |
| 20 | 3 |
About D. Poussart
D. Poussart is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Cellular and Molecular Neuroscience, having authored 57 papers that have together received 588 indexed citations. Recurring topics across this work include CCD and CMOS Imaging Sensors (12 papers), Neuroscience and Neural Engineering (11 papers) and Neural dynamics and brain function (10 papers). The work is most often cited by research in Electrochemistry (93 citations), Cellular and Molecular Neuroscience (235 citations) and Geology (37 citations). D. Poussart has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Lee E. Moore, Denis Laurendeau, Harvey M. Fishman, H. Fishman, Robert Bergevin, Xavier Maldague, Jean-Claude Krapez, M. Tremblay, Marc Tremblay and Udayan Ganguly. Their work appears in journals such as Proceedings of the National Academy of Sciences, Proceedings of the IEEE and Biophysical Journal.
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.