Benjamin Ricaud

1.1k total citations
25 papers, 639 citations indexed

About

Benjamin Ricaud is a scholar working on Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Signal Processing. According to data from OpenAlex, Benjamin Ricaud has authored 25 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 9 papers in Statistical and Nonlinear Physics and 7 papers in Signal Processing. Recurrent topics in Benjamin Ricaud's work include Complex Network Analysis Techniques (8 papers), Advanced Graph Neural Networks (7 papers) and Image and Signal Denoising Methods (5 papers). Benjamin Ricaud is often cited by papers focused on Complex Network Analysis Techniques (8 papers), Advanced Graph Neural Networks (7 papers) and Image and Signal Denoising Methods (5 papers). Benjamin Ricaud collaborates with scholars based in Switzerland, France and Norway. Benjamin Ricaud's co-authors include Pierre Vandergheynst, David I Shuman, Bruno Torrésani, Nathanaël Perraudin, Andreas Loukas, Kirell Benzi, Nicolas Tremblay, Paulo Gonçalvès, Pierre Borgnat and Alessandro Daducci and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Scientific Reports.

In The Last Decade

Benjamin Ricaud

24 papers receiving 617 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benjamin Ricaud Switzerland 10 314 218 141 107 85 25 639
Nicolas Tremblay France 13 303 1.0× 220 1.0× 105 0.7× 49 0.5× 88 1.0× 44 685
Nathanaël Perraudin Switzerland 9 348 1.1× 174 0.8× 149 1.1× 62 0.6× 43 0.5× 28 641
Aamir Anis United States 8 419 1.3× 254 1.2× 132 0.9× 33 0.3× 51 0.6× 12 563
Rohan Varma United States 8 575 1.8× 260 1.2× 201 1.4× 30 0.3× 59 0.7× 20 872
Michael Herrmann Germany 10 200 0.6× 97 0.4× 97 0.7× 23 0.2× 32 0.4× 45 500
Michail Zak United States 17 373 1.2× 332 1.5× 47 0.3× 198 1.9× 75 0.9× 126 1.3k
Eduardo Serrano Spain 16 77 0.2× 129 0.6× 63 0.4× 187 1.7× 67 0.8× 52 828
Leonid Zhukov United States 18 185 0.6× 75 0.3× 161 1.1× 193 1.8× 24 0.3× 50 1.0k
Mátyás A. Sustik United States 7 272 0.9× 40 0.2× 228 1.6× 49 0.5× 63 0.7× 10 749
Venkat Chandrasekaran United States 11 184 0.6× 44 0.2× 82 0.6× 32 0.3× 41 0.5× 27 589

Countries citing papers authored by Benjamin Ricaud

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Ricaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Ricaud

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

All Works

20 of 20 papers shown
1.
2.
Birkelund, Yngve, et al.. (2024). Exploring the Potential of Sentinel-1 Ocean Wind Field Product for Near-Surface Offshore Wind Assessment in the Norwegian Arctic. Atmosphere. 15(2). 146–146. 3 indexed citations
3.
Guerreiro, Eduarda M., Sergei G. Kruglik, Cees Otto, et al.. (2024). Identification of extracellular vesicles from their Raman spectra via self-supervised learning. Scientific Reports. 14(1). 6791–6791. 8 indexed citations
4.
Ricaud, Benjamin, et al.. (2024). The 3-billion fossil question: How to automate classification of microfossils. SHILAP Revista de lepidopterología. 5. 100080–100080. 1 indexed citations
5.
Ricaud, Benjamin. (2020). Spikyball Sampling: Exploring Large Networks via an Inhomogeneous Filtered Diffusion. MDPI (MDPI AG). 2 indexed citations
6.
Ricaud, Benjamin, et al.. (2019). SpectroBank: A filter-bank convolutional layer for CNN-based audio applications. 3 indexed citations
7.
Ricaud, Benjamin, Pierre Borgnat, Nicolas Tremblay, Paulo Gonçalvès, & Pierre Vandergheynst. (2019). Fourier could be a data scientist: From graph Fourier transform to signal processing on graphs. Comptes Rendus Physique. 20(5). 474–488. 40 indexed citations
8.
Griffa, Alessandra, Benjamin Ricaud, Kirell Benzi, et al.. (2017). Transient networks of spatio-temporal connectivity map communication pathways in brain functional systems. NeuroImage. 155. 490–502. 52 indexed citations
9.
Loukas, Andreas, et al.. (2017). A Time-Vertex Signal Processing Framework: Scalable Processing and Meaningful Representations for Time-Series on Graphs. IEEE Transactions on Signal Processing. 66(3). 817–829. 109 indexed citations
10.
Shahid, Nauman, Nathanaël Perraudin, Vassilis Kalofolias, Benjamin Ricaud, & Pierre Vandergheynst. (2016). PCA using graph total variation. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 401. 4668–4672. 3 indexed citations
11.
Perraudin, Nathanaël, et al.. (2016). Tracking time-vertex propagation using dynamic graph wavelets. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 351–355. 7 indexed citations
12.
Benzi, Kirell, Benjamin Ricaud, & Pierre Vandergheynst. (2016). Principal Patterns on Graphs: Discovering Coherent Structures in Datasets. IEEE Transactions on Signal and Information Processing over Networks. 2(2). 160–173. 12 indexed citations
13.
Ricaud, Benjamin, et al.. (2015). Optimal Window and Lattice in Gabor Transform. Application to Audio Analysis. PubMed. 17. 109–112. 1 indexed citations
14.
Shuman, David I, Benjamin Ricaud, & Pierre Vandergheynst. (2015). Vertex-frequency analysis on graphs. Applied and Computational Harmonic Analysis. 40(2). 260–291. 205 indexed citations
15.
Ricaud, Benjamin & Bruno Torrésani. (2013). Refined Support and Entropic Uncertainty Inequalities. IEEE Transactions on Information Theory. 59(7). 4272–4279. 15 indexed citations
16.
Ricaud, Benjamin, David I Shuman, & Pierre Vandergheynst. (2013). On the sparsity of wavelet coefficients for signals on graphs. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8858. 88581L–88581L. 12 indexed citations
17.
Ricaud, Benjamin, et al.. (2013). An optimally concentrated Gabor transform for localized time-frequency components. Advances in Computational Mathematics. 40(3). 683–702. 12 indexed citations
18.
Ricaud, Benjamin & Bruno Torrésani. (2013). A survey of uncertainty principles and some signal processing applications. Advances in Computational Mathematics. 40(3). 629–650. 48 indexed citations
19.
Ricaud, Benjamin, P. Guillemain, Jean Kergomard, Fabrice Silva, & Christophe Vergez. (2009). Behavior of Reed Woodwind Instruments Around The Oscillation Threshold. Acta acustica united with Acustica. 95(4). 733–743. 5 indexed citations
20.
Cornean, Horia D., Pierre Duclos, & Benjamin Ricaud. (2006). On Critical Stability of Three Quantum Charges Interacting Through Delta Potentials. Few-Body Systems. 38(2-4). 125–131. 9 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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