Hugo Raguet

725 total citations
8 papers, 348 citations indexed

About

Hugo Raguet is a scholar working on Computational Mechanics, Computational Theory and Mathematics and Mathematical Physics. According to data from OpenAlex, Hugo Raguet has authored 8 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computational Mechanics, 3 papers in Computational Theory and Mathematics and 2 papers in Mathematical Physics. Recurrent topics in Hugo Raguet's work include Sparse and Compressive Sensing Techniques (3 papers), Optimization and Variational Analysis (3 papers) and Numerical methods in inverse problems (2 papers). Hugo Raguet is often cited by papers focused on Sparse and Compressive Sensing Techniques (3 papers), Optimization and Variational Analysis (3 papers) and Numerical methods in inverse problems (2 papers). Hugo Raguet collaborates with scholars based in France, Australia and Germany. Hugo Raguet's co-authors include Gabriel Peyré, Jalal Fadili, Loïc Landrieu, Clément Mallet, Bruno Vallet, Martin Weinmann, Laurent D. Cohen, Jürgen Fripp, Laurent Risser and L. Foubert and has published in prestigious journals such as ISPRS Journal of Photogrammetry and Remote Sensing, Journal of Neuroscience Methods and NeuroImage Clinical.

In The Last Decade

Hugo Raguet

8 papers receiving 338 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hugo Raguet France	6	167	111	80	79	69	8	348
Ramsay Dyer Canada	12	299 1.8×	66 0.6×	27 0.3×	5 0.1×	31 0.4×	28	508
Anantachai Padcharoen Thailand	10	100 0.6×	171 1.5×	8 0.1×	128 1.6×	64 0.9×	33	369
Guohua Peng China	10	62 0.4×	27 0.2×	6 0.1×	8 0.1×	10 0.1×	65	351
Daniel Fontijne Netherlands	8	78 0.5×	56 0.5×	7 0.1×	8 0.1×	14 0.2×	10	386
Jinghong Liu China	10	48 0.3×	45 0.4×	13 0.2×	26 0.3×	10 0.1×	45	356
Chaomin Shen China	14	131 0.8×	10 0.1×	8 0.1×	4 0.1×	31 0.4×	53	712
M. B. Subrahmanyam United States	10	14 0.1×	50 0.5×	22 0.3×	43 0.5×	4 0.1×	51	359
Baojiang Zhong China	11	46 0.3×	33 0.3×	8 0.1×	19 0.2×	1 0.0×	62	353
Masao Yamagishi Japan	11	256 1.5×	27 0.2×	4 0.1×	14 0.2×	12 0.2×	49	422
Meie Fang China	11	132 0.8×	24 0.2×	5 0.1×	30 0.4×		53	355

Countries citing papers authored by Hugo Raguet

Since Specialization

Citations

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

Fields of papers citing papers by Hugo Raguet

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hugo Raguet

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

All Works

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8 of 8 papers shown

1.

Raguet, Hugo, et al.. (2024). Scalable 3D Panoptic Segmentation As Superpoint Graph Clustering. SPIRE - Sciences Po Institutional REpository. 179–189. 10 indexed citations

2.

Raguet, Hugo. (2018). A note on the forward-Douglas–Rachford splitting for monotone inclusion and convex optimization. Optimization Letters. 13(4). 717–740. 12 indexed citations

3.

Landrieu, Loïc, Hugo Raguet, Bruno Vallet, Clément Mallet, & Martin Weinmann. (2017). A structured regularization framework for spatially smoothing semantic labelings of 3D point clouds. ISPRS Journal of Photogrammetry and Remote Sensing. 132. 102–118. 84 indexed citations

4.

Raguet, Hugo, Cyril Monier, L. Foubert, et al.. (2015). Spatially Structured Sparse Morphological Component Separation for voltage-sensitive dye optical imaging. Journal of Neuroscience Methods. 257. 76–96. 5 indexed citations

5.

Raguet, Hugo & Loïc Landrieu. (2015). Preconditioning of a Generalized Forward-Backward Splitting and Application to Optimization on Graphs. SIAM Journal on Imaging Sciences. 8(4). 2706–2739. 21 indexed citations

6.

Raguet, Hugo, et al.. (2014). Longitudinal deformation models, spatial regularizations and learning strategies to quantify Alzheimer's disease progression. NeuroImage Clinical. 4. 718–729. 17 indexed citations

7.

Raguet, Hugo, Jalal Fadili, & Gabriel Peyré. (2013). A Generalized Forward-Backward Splitting. SIAM Journal on Imaging Sciences. 6(3). 1199–1226. 197 indexed citations

8.

Lebenberg, Jessica, et al.. (2010). Segmentation of small animal PET/CT mouse brain scans using an MRI-based 3D digital atlas. PubMed. 2010. 3097–3100. 2 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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