Andréas Meuleman

431 total citations · 1 hit paper
13 papers, 228 citations indexed

About

Andréas Meuleman is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Aerospace Engineering. According to data from OpenAlex, Andréas Meuleman has authored 13 papers receiving a total of 228 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 7 papers in Computer Graphics and Computer-Aided Design and 5 papers in Aerospace Engineering. Recurrent topics in Andréas Meuleman's work include Advanced Vision and Imaging (11 papers), Computer Graphics and Visualization Techniques (7 papers) and Robotics and Sensor-Based Localization (5 papers). Andréas Meuleman is often cited by papers focused on Advanced Vision and Imaging (11 papers), Computer Graphics and Visualization Techniques (7 papers) and Robotics and Sensor-Based Localization (5 papers). Andréas Meuleman collaborates with scholars based in South Korea, Canada and United States. Andréas Meuleman's co-authors include Min H. Kim, Chang-Il Kim, Johannes Kopf, Chen Gao, Jia‐Bin Huang, Yu-Lun Liu, Michael Wimmer, Yung‐Yu Chuang, Hung-Yu Tseng and George Drettakis and has published in prestigious journals such as ACM Transactions on Graphics.

In The Last Decade

Andréas Meuleman

12 papers receiving 217 citations

Hit Papers

A Hierarchical 3D Gaussian Representation for Real-Time R... 2024 2026 2025 2024 10 20 30 40

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andréas Meuleman South Korea 7 178 82 60 34 25 13 228
Suryansh Kumar United States 11 248 1.4× 67 0.8× 105 1.8× 50 1.5× 46 1.8× 25 311
Jason Dourgarian United States 4 246 1.4× 115 1.4× 35 0.6× 37 1.1× 13 0.5× 5 280
Linning Xu China 9 194 1.1× 82 1.0× 34 0.6× 59 1.7× 34 1.4× 19 304
Jason Ramapuram Switzerland 3 157 0.9× 24 0.3× 39 0.7× 21 0.6× 26 1.0× 3 210
Taoran Yi China 2 140 0.8× 73 0.9× 27 0.5× 60 1.8× 16 0.6× 3 205
Yiqun Wang China 9 110 0.6× 58 0.7× 35 0.6× 66 1.9× 28 1.1× 37 214
Anpei Chen Germany 4 206 1.2× 131 1.6× 38 0.6× 89 2.6× 27 1.1× 5 280
Yuanbo Xiangli China 6 101 0.6× 70 0.9× 28 0.5× 49 1.4× 30 1.2× 13 192

Countries citing papers authored by Andréas Meuleman

Since Specialization
Citations

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

Fields of papers citing papers by Andréas Meuleman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andréas Meuleman

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

All Works

13 of 13 papers shown
1.
Meuleman, Andréas, et al.. (2025). On-the-fly Reconstruction for Large-Scale Novel View Synthesis from Unposed Images. ACM Transactions on Graphics. 44(4). 1–14.
2.
Kerbl, Bernhard, et al.. (2024). A Hierarchical 3D Gaussian Representation for Real-Time Rendering of Very Large Datasets. ACM Transactions on Graphics. 43(4). 1–15. 49 indexed citations breakdown →
3.
Meuleman, Andréas, et al.. (2024). OmniSDF: Scene Reconstruction Using Omnidirectional Signed Distance Functions and Adaptive Binoctrees. 20227–20236. 2 indexed citations
4.
Meuleman, Andréas, Yu-Lun Liu, Chen Gao, et al.. (2023). Progressively Optimized Local Radiance Fields for Robust View Synthesis. 16539–16548. 48 indexed citations
5.
Liu, Yu-Lun, Chen Gao, Andréas Meuleman, et al.. (2023). Robust Dynamic Radiance Fields. 13–23. 70 indexed citations
6.
Jeon, Daniel S., Andréas Meuleman, Seung-Hwan Baek, & Min H. Kim. (2023). Polarimetric iToF: Measuring High-Fidelity Depth Through Scattering Media. 12353–12362. 4 indexed citations
7.
Meuleman, Andréas, et al.. (2022). Egocentric scene reconstruction from an omnidirectional video. ACM Transactions on Graphics. 41(4). 1–12. 13 indexed citations
8.
Meuleman, Andréas, et al.. (2021). High-Quality Stereo Image Restoration from Double Refraction. 11982–11990. 1 indexed citations
9.
Meuleman, Andréas, et al.. (2021). DeepFormableTag. ACM Transactions on Graphics. 40(4). 1–14. 9 indexed citations
10.
Lee, Joo Ho, et al.. (2021). NormalFusion: Real-Time Acquisition of Surface Normals for High-Resolution RGB-D Scanning. 15965–15974. 3 indexed citations
11.
Meuleman, Andréas, et al.. (2021). Real-Time Sphere Sweeping Stereo from Multiview Fisheye Images. 11418–11427. 17 indexed citations
12.
Meuleman, Andréas, et al.. (2021). DeepFormableTag. ACM Transactions on Graphics. 40(4). 1–14. 5 indexed citations
13.
Meuleman, Andréas, Seung-Hwan Baek, Felix Heide, & Min H. Kim. (2020). Single-Shot Monocular RGB-D Imaging Using Uneven Double Refraction. 2462–2471. 7 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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