Michaël Defferrard

8.2k total citations
7 papers, 181 citations indexed

About

Michaël Defferrard is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Michaël Defferrard has authored 7 papers receiving a total of 181 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Signal Processing. Recurrent topics in Michaël Defferrard's work include Music and Audio Processing (2 papers), Neural dynamics and brain function (1 paper) and Protein Structure and Dynamics (1 paper). Michaël Defferrard is often cited by papers focused on Music and Audio Processing (2 papers), Neural dynamics and brain function (1 paper) and Protein Structure and Dynamics (1 paper). Michaël Defferrard collaborates with scholars based in Switzerland, Italy and Norway. Michaël Defferrard's co-authors include Nathanaël Perraudin, T. Kacprzak, Raphaël Sgier, Pierre Vandergheynst, Kirell Benzi, Xavier Bresson, Patric Hagmann, David Pascucci, Margherita Carboni and Gijs Plomp and has published in prestigious journals such as NeuroImage, PLoS Computational Biology and Astronomy and Computing.

In The Last Decade

Michaël Defferrard

7 papers receiving 176 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michaël Defferrard Switzerland	5	67	45	42	39	26	7	181
M.J. Fadili France	6	31 0.5×	48 1.1×	77 1.8×	17 0.4×	41 1.6×	14	184
Zeeshan Hayder Australia	9	162 2.4×	7 0.2×	29 0.7×	56 1.4×	9 0.3×	24	249
E.G. Miller United States	8	111 1.7×	16 0.4×	12 0.3×	56 1.4×	2 0.1×	14	231
Marcela Morvidone Argentina	8	79 1.2×	39 0.9×	11 0.3×	16 0.4×	6 0.2×	22	235
Christos Panagiotou Greece	7	30 0.4×	8 0.2×	22 0.5×	6 0.2×	49 1.9×	34	268
Yibin Zheng United States	9	58 0.9×	86 1.9×	4 0.1×	106 2.7×	22 0.8×	43	283
Peter Rautek Saudi Arabia	10	194 2.9×	37 0.8×	10 0.2×	16 0.4×	4 0.2×	28	270
Mohammad Golbabaee United Kingdom	10	44 0.7×	58 1.3×	20 0.5×	34 0.9×	1 0.0×	36	260
Joseph DePasquale United States	6	22 0.3×	6 0.1×	6 0.1×	39 1.0×	70 2.7×	19	157
Ulrike Axen United States	5	244 3.6×	41 0.9×	16 0.4×	20 0.5×	2 0.1×	7	363

Countries citing papers authored by Michaël Defferrard

Since Specialization

Citations

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

Fields of papers citing papers by Michaël Defferrard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michaël Defferrard

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

All Works

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7 of 7 papers shown

1.

Scheck, Andreas, Stéphane Rosset, Michaël Defferrard, et al.. (2022). RosettaSurf—A surface-centric computational design approach. PLoS Computational Biology. 18(3). e1009178–e1009178. 4 indexed citations

2.

Glomb, Katharina, David Pascucci, Michaël Defferrard, et al.. (2020). Connectome spectral analysis to track EEG task dynamics on a subsecond scale. NeuroImage. 221. 117137–117137. 32 indexed citations

3.

Defferrard, Michaël, et al.. (2020). Simplicial Neural Networks. arXiv (Cornell University). 6 indexed citations

4.

Defferrard, Michaël, et al.. (2020). DeepSphere: a graph-based spherical CNN. arXiv (Cornell University). 5 indexed citations

5.

Perraudin, Nathanaël, Michaël Defferrard, T. Kacprzak, & Raphaël Sgier. (2019). DeepSphere: Efficient spherical convolutional neural network with HEALPix sampling for cosmological applications. Astronomy and Computing. 27. 130–146. 85 indexed citations

6.

Defferrard, Michaël, Kirell Benzi, Pierre Vandergheynst, & Xavier Bresson. (2017). Fma: A Dataset For Music Analysis.. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 316–323. 48 indexed citations

7.

Defferrard, Michaël. (2015). Structured Auto-Encoder with application to Music Genre Recognition. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1 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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