Adrien Poulenard

606 total citations
10 papers, 340 citations indexed

About

Adrien Poulenard is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Adrien Poulenard has authored 10 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 6 papers in Computational Mechanics and 4 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Adrien Poulenard's work include 3D Shape Modeling and Analysis (6 papers), Advanced Numerical Analysis Techniques (4 papers) and Computer Graphics and Visualization Techniques (4 papers). Adrien Poulenard is often cited by papers focused on 3D Shape Modeling and Analysis (6 papers), Advanced Numerical Analysis Techniques (4 papers) and Computer Graphics and Visualization Techniques (4 papers). Adrien Poulenard collaborates with scholars based in France, United States and Canada. Adrien Poulenard's co-authors include Leonidas Guibas, Maks Ovsjanikov, Peter Wonka, Jing Ren, Andrea Tagliasacchi, Yueqi Duan, Or Litany, Congyue Deng, Primož Škraba and Srinath Sridhar and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Graphics and Computer Graphics Forum.

In The Last Decade

Adrien Poulenard

10 papers receiving 327 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Adrien Poulenard France	8	207	191	95	54	39	10	340
Leonidas Guibas United States	7	289 1.4×	253 1.3×	155 1.6×	42 0.8×	22 0.6×	14	393
Marc Pouget France	10	345 1.7×	150 0.8×	216 2.3×	67 1.2×	5 0.1×	21	459
Linqi Zhou United States	4	156 0.8×	164 0.9×	125 1.3×	46 0.9×	21 0.5×	8	316
Huaiping Yang Austria	10	237 1.1×	170 0.9×	146 1.5×	17 0.3×	8 0.2×	15	339
Shangzhe Wu United Kingdom	8	174 0.8×	326 1.7×	103 1.1×	42 0.8×	24 0.6×	18	411
Basile Van Hoorick United States	3	127 0.6×	218 1.1×	139 1.5×	30 0.6×	43 1.1×	3	310
Christopher DeCoro United States	12	228 1.1×	320 1.7×	374 3.9×	24 0.4×	12 0.3×	13	482
Carlos Esteves United States	6	66 0.3×	157 0.8×	57 0.6×	20 0.4×	7 0.2×	13	206
Andrei Zaharescu France	5	162 0.8×	355 1.9×	56 0.6×	96 1.8×	9 0.2×	6	424

Countries citing papers authored by Adrien Poulenard

Since Specialization

Citations

This map shows the geographic impact of Adrien Poulenard'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 Adrien Poulenard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adrien Poulenard more than expected).

Fields of papers citing papers by Adrien Poulenard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adrien Poulenard. 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 Adrien Poulenard. The network helps show where Adrien Poulenard may publish in the future.

Co-authorship network of co-authors of Adrien Poulenard

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

All Works

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10 of 10 papers shown

Poulenard, Adrien, et al.. (2023). Canonical Fields: Self-Supervised Learning of Pose-Canonicalized Neural Fields. 4500–4510. 2 indexed citations

Park, Jeong Joon, et al.. (2023). LEGO-Net: Learning Regular Rearrangements of Objects in Rooms. 19037–19047. 18 indexed citations

Poulenard, Adrien, et al.. (2022). ConDor: Self-Supervised Canonicalization of 3D Pose for Partial Shapes. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 16948–16958. 17 indexed citations

Poulenard, Adrien & Leonidas Guibas. (2021). A functional approach to rotation equivariant non-linearities for Tensor Field Networks. 13169–13178. 23 indexed citations

Deng, Congyue, Or Litany, Yueqi Duan, et al.. (2021). Vector Neurons: A General Framework for SO(3)-Equivariant Networks. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 12180–12189. 128 indexed citations

Poulenard, Adrien, Marie‐Julie Rakotosaona, Yann Ponty, & Maks Ovsjanikov. (2019). Effective Rotation-Invariant Point CNN with Spherical Harmonics Kernels. arXiv (Cornell University). 47–56. 2 indexed citations

Melzi, Simone, Riccardo Marin, Emanuele Rodolà, et al.. (2019). Matching Humans with Different Connectivity. BOA (University of Milano-Bicocca). 17 indexed citations

Poulenard, Adrien, Primož Škraba, & Maks Ovsjanikov. (2018). Topological Function Optimization for Continuous Shape Matching. Computer Graphics Forum. 37(5). 13–25. 30 indexed citations

Ren, Jing, Adrien Poulenard, Peter Wonka, & Maks Ovsjanikov. (2018). Continuous and orientation-preserving correspondences via functional maps. ACM Transactions on Graphics. 37(6). 1–16. 93 indexed citations

10.

Poulenard, Adrien, et al.. (2016). Directional Enlacement Histograms for the Description of Complex Spatial Configurations between Objects. IEEE Transactions on Pattern Analysis and Machine Intelligence. 39(12). 2366–2380. 10 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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