Nathan Piasco

498 total citations
12 papers, 271 citations indexed

About

Nathan Piasco is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Environmental Engineering. According to data from OpenAlex, Nathan Piasco has authored 12 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 10 papers in Aerospace Engineering and 3 papers in Environmental Engineering. Recurrent topics in Nathan Piasco's work include Robotics and Sensor-Based Localization (10 papers), Advanced Vision and Imaging (9 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Nathan Piasco is often cited by papers focused on Robotics and Sensor-Based Localization (10 papers), Advanced Vision and Imaging (9 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Nathan Piasco collaborates with scholars based in France, Sweden and United Kingdom. Nathan Piasco's co-authors include Cédric Demonceaux, Désiré Sidibé, Valérie Gouet-Brunet, Dzmitry Tsishkou, Arnaud de La Fortelle, Bogdan Stanciulescu, Thomas Gilles and Pascal Vasseur and has published in prestigious journals such as Pattern Recognition, International Journal of Computer Vision and 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

In The Last Decade

Nathan Piasco

11 papers receiving 265 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nathan Piasco France 7 209 203 52 49 24 12 271
Igor Cvišić Croatia 6 199 1.0× 243 1.2× 65 1.3× 57 1.2× 30 1.3× 11 304
C. Mei United Kingdom 6 284 1.4× 284 1.4× 55 1.1× 46 0.9× 16 0.7× 9 340
Sixing Hu Singapore 4 291 1.4× 237 1.2× 42 0.8× 28 0.6× 27 1.1× 5 357
Martial Sanfourche France 9 169 0.8× 178 0.9× 37 0.7× 53 1.1× 23 1.0× 19 248
Mathias Bürki Switzerland 9 209 1.0× 235 1.2× 33 0.6× 75 1.5× 12 0.5× 12 267
Colin McManus United Kingdom 10 308 1.5× 316 1.6× 53 1.0× 87 1.8× 13 0.5× 15 370
Lukas von Stumberg Germany 4 298 1.4× 294 1.4× 88 1.7× 38 0.8× 14 0.6× 4 369
Georges Baatz Switzerland 4 341 1.6× 246 1.2× 31 0.6× 46 0.9× 18 0.8× 4 373
Shichao Yang China 7 180 0.9× 205 1.0× 67 1.3× 34 0.7× 13 0.5× 10 271
Michael Warren Australia 9 183 0.9× 189 0.9× 24 0.5× 25 0.5× 17 0.7× 23 252

Countries citing papers authored by Nathan Piasco

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Nathan Piasco

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan Piasco. A scholar is included among the top collaborators of Nathan Piasco 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 Nathan Piasco. Nathan Piasco is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
2.
Piasco, Nathan, et al.. (2024). 3DGS-Calib: 3D Gaussian Splatting for Multimodal SpatioTemporal Calibration. SPIRE - Sciences Po Institutional REpository. 8315–8321. 3 indexed citations
3.
Piasco, Nathan, et al.. (2024). SOAC: Spatio-Temporal Overlap-Aware Multi-Sensor Calibration using Neural Radiance Fields. SPIRE - Sciences Po Institutional REpository. 15131–15140. 7 indexed citations
4.
Piasco, Nathan, et al.. (2024). PlaNeRF: SVD Unsupervised 3D Plane Regularization for NeRF Large-Scale Urban Scene Reconstruction. 1291–1300. 4 indexed citations
5.
Piasco, Nathan, et al.. (2023). CROSSFIRE: Camera Relocalization On Self-Supervised Features from an Implicit Representation. 252–262. 15 indexed citations
6.
Gilles, Thomas, et al.. (2023). ImPosing: Implicit Pose Encoding for Efficient Visual Localization. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 2891–2901. 10 indexed citations
7.
Piasco, Nathan, et al.. (2023). MOISST: Multimodal Optimization of Implicit Scene for SpatioTemporal Calibration. SPIRE - Sciences Po Institutional REpository. 1810–1817. 6 indexed citations
8.
Piasco, Nathan, et al.. (2022). CoordiNet: uncertainty-aware pose regressor for reliable vehicle localization. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 1848–1857. 23 indexed citations
9.
Piasco, Nathan, Désiré Sidibé, Valérie Gouet-Brunet, & Cédric Demonceaux. (2020). Improving Image Description with Auxiliary Modality for Visual Localization in Challenging Conditions. International Journal of Computer Vision. 129(1). 185–202. 16 indexed citations
10.
Piasco, Nathan, Désiré Sidibé, Cédric Demonceaux, & Valérie Gouet-Brunet. (2019). Geometric Camera Pose Refinement with Learned Depth Maps. SPIRE - Sciences Po Institutional REpository. 4. 2561–2565. 2 indexed citations
11.
Piasco, Nathan, Désiré Sidibé, Valérie Gouet-Brunet, & Cédric Demonceaux. (2019). Learning Scene Geometry for Visual Localization in Challenging Conditions. SPIRE - Sciences Po Institutional REpository. 9094–9100. 27 indexed citations
12.
Piasco, Nathan, Désiré Sidibé, Cédric Demonceaux, & Valérie Gouet-Brunet. (2017). A survey on Visual-Based Localization: On the benefit of heterogeneous data. Pattern Recognition. 74. 90–109. 158 indexed citations

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.

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