Nathan Piasco
Impact in
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- Advanced Image and Video Retrieval Techniques
- Advanced Vision and Imaging
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Geology top 10%
- 3D Surveying and Cultural Heritage
Papers in
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- Advanced Vision and Imaging 9
- Advanced Image and Video Retrieval Techniques 4
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- Robotics and Sensor-Based Localization 10
- Co-authors
- Cédric Demonceaux (7 shared papers)Valérie Gouet-Brunet (4 shared papers)Désiré Sidibé (5 shared papers)Dzmitry Tsishkou (8 shared papers)Bogdan Stanciulescu (3 shared papers)Arnaud de La Fortelle (3 shared papers)Pascal Vasseur (3 shared papers)Thomas Gilles (1 shared paper)
- Journals
- Pattern Recognition (1 paper)International Journal of Computer Vision (1 paper)2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (1 paper)SPIRE - Sciences Po Institutional REpository (5 papers)2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (1 paper)
- Partner nations
- FranceSwedenUnited Kingdom
In The Last Decade
Nathan Piasco
11 papers receiving 265 citations
Peers
Comparison fields: 5 of 35
- Computer Vision and Pattern Recognition 209
- Geology 52
- Aerospace Engineering 203
- Instrumentation 6
- Environmental Engineering 20
Countries citing papers authored by Nathan Piasco
This map shows the geographic impact of Nathan Piasco'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 Nathan Piasco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Piasco more than expected).
Fields of papers citing papers by Nathan Piasco
This network shows the impact of papers produced by Nathan Piasco. 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 Nathan Piasco. The network helps show where Nathan Piasco may publish in the future.
Co-authors
The 8 scholars most cited alongside Nathan Piasco, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 158 | |
| 2 | 2019 | 27 | |
| 3 | 2022 | 23 | |
| 4 | 2020 | 16 | |
| 5 | 2023 | 15 | |
| 6 | 2023 | 10 | |
| 7 | 2024 | 7 | |
| 8 | 2023 | 6 | |
| 9 | 2024 | 4 | |
| 10 | 2024 | 3 | |
| 11 | 2019 | 2 | |
| 12 | 2025 | 0 |
About Nathan Piasco
Nathan Piasco is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Environmental Engineering, Geology and Computer Networks and Communications, having authored 12 papers that have together received 271 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (10 papers), Advanced Vision and Imaging (9 papers), Advanced Image and Video Retrieval Techniques (4 papers), Remote Sensing and LiDAR Applications (3 papers), 3D Surveying and Cultural Heritage (2 papers), Computer Graphics and Visualization Techniques (1 paper), 3D Shape Modeling and Analysis (1 paper) and Target Tracking and Data Fusion in Sensor Networks (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (209 citations), Geology (52 citations), Aerospace Engineering (203 citations), Instrumentation (6 citations) and Environmental Engineering (20 citations). Nathan Piasco has collaborated with scholars based in France, Sweden and United Kingdom. Frequent co-authors include Cédric Demonceaux, Valérie Gouet-Brunet, Désiré Sidibé, Dzmitry Tsishkou, Bogdan Stanciulescu, Arnaud de La Fortelle, Pascal Vasseur and Thomas Gilles. Their work appears in journals such as Pattern Recognition, International Journal of Computer Vision, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), SPIRE - Sciences Po Institutional REpository and 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
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.