Sylvain Sardy

1.7k total citations
46 papers, 1.2k citations indexed

About

Sylvain Sardy is a scholar working on Statistics and Probability, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Sylvain Sardy has authored 46 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Statistics and Probability, 11 papers in Computer Vision and Pattern Recognition and 10 papers in Computational Mechanics. Recurrent topics in Sylvain Sardy's work include Statistical Methods and Inference (14 papers), Image and Signal Denoising Methods (11 papers) and Sparse and Compressive Sensing Techniques (10 papers). Sylvain Sardy is often cited by papers focused on Statistical Methods and Inference (14 papers), Image and Signal Denoising Methods (11 papers) and Sparse and Compressive Sensing Techniques (10 papers). Sylvain Sardy collaborates with scholars based in Switzerland, United States and France. Sylvain Sardy's co-authors include A. Gregory Bruce, Paul Tseng, A. C. Davison, P. Tseng, Valérie Chavez‐Demoulin, Isabelle Décosterd, Donat R. Spahn, Nicolas Gilliard, Marie Pertin and M. Süveges and has published in prestigious journals such as Journal of the American Statistical Association, PLoS ONE and Pain.

In The Last Decade

Sylvain Sardy

42 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sylvain Sardy Switzerland 16 347 233 214 170 160 46 1.2k
Tohru Ozaki Japan 29 84 0.2× 74 0.3× 108 0.5× 280 1.6× 322 2.0× 114 2.9k
Jean‐Claude Fort France 18 197 0.6× 125 0.5× 26 0.1× 101 0.6× 133 0.8× 42 1.3k
Sohan Seth United States 18 335 1.0× 25 0.1× 178 0.8× 51 0.3× 280 1.8× 72 1.9k
Dietrich von Rosen Sweden 19 44 0.1× 101 0.4× 54 0.3× 723 4.3× 95 0.6× 132 1.9k
Daniel M. Keenan United States 32 86 0.2× 401 1.7× 20 0.1× 121 0.7× 21 0.1× 96 2.9k
Young K. Truong United States 22 87 0.3× 42 0.2× 59 0.3× 980 5.8× 47 0.3× 52 1.9k
Abul Hasan Siddiqi India 15 107 0.3× 86 0.4× 25 0.1× 55 0.3× 59 0.4× 70 870
Petros Xanthopoulos United States 19 122 0.4× 38 0.2× 58 0.3× 59 0.3× 169 1.1× 53 1.8k
Qiang Wu United States 28 433 1.2× 73 0.3× 720 3.4× 365 2.1× 121 0.8× 133 2.8k
Ranjan Maitra United States 20 111 0.3× 46 0.2× 32 0.1× 194 1.1× 117 0.7× 73 1.3k

Countries citing papers authored by Sylvain Sardy

Since Specialization
Citations

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

Fields of papers citing papers by Sylvain Sardy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sylvain Sardy

This figure shows the co-authorship network connecting the top 25 collaborators of Sylvain Sardy. A scholar is included among the top collaborators of Sylvain Sardy 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 Sylvain Sardy. Sylvain Sardy 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.
Eckert, D., et al.. (2020). Nonparametric Estimation of Galaxy Cluster Emissivity and Detection of Point Sources in Astrophysics With Two Lasso Penalties. Journal of the American Statistical Association. 116(535). 1088–1099.
2.
Sardy, Sylvain & Hatef Monajemi. (2018). Efficient Threshold Selection for Multivariate Total Variation Denoising. Journal of Computational and Graphical Statistics. 28(1). 23–35. 3 indexed citations
3.
Irminger‐Finger, Irmgard, Maxim Pilyugin, Andrea Bianco, et al.. (2017). P1.05-016 Circulating BARD1 Antibodies for Early Detection of Lung Cancer. Journal of Thoracic Oncology. 12(1). S623–S623. 1 indexed citations
4.
Sardy, Sylvain, et al.. (2017). Modeling whole body trace metal concentrations in aquatic invertebrate communities: A trait-based approach. Environmental Pollution. 233. 419–428. 8 indexed citations
5.
Pilyugin, Maxim, Viktória László, Balázs Döme, et al.. (2017). BARD1 serum autoantibodies for the detection of lung cancer. PLoS ONE. 12(8). e0182356–e0182356. 22 indexed citations
6.
Josse, Julie & Sylvain Sardy. (2015). Adaptive shrinkage of singular values. Statistics and Computing. 26(3). 715–724. 25 indexed citations
7.
Dalang, Robert C., et al.. (2014). Stochastic optimization of sailing trajectories in an upwind regatta. Journal of the Operational Research Society. 66(5). 807–821. 12 indexed citations
8.
Josse, Julie & Sylvain Sardy. (2013). Selecting thresholding and shrinking parameters with generalized SURE for low rank matrix estimation. arXiv (Cornell University). 2 indexed citations
9.
Sardy, Sylvain. (2012). Smooth Blockwise Iterative Thresholding: A Smooth Fixed Point Estimator Based on the Likelihood’s Block Gradient. Journal of the American Statistical Association. 107(498). 800–813. 2 indexed citations
10.
Neto, David, Sylvain Sardy, & Paul Tseng. (2011). ℓ 1 -Penalized Likelihood Smoothing and Segmentation of Volatility Processes Allowing for Abrupt Changes. Journal of Computational and Graphical Statistics. 21(1). 217–233. 2 indexed citations
11.
Sardy, Sylvain & Maria‐Pia Victoria‐Feser. (2011). Isotone additive latent variable models. Statistics and Computing. 22(2). 647–659. 3 indexed citations
12.
Sardy, Sylvain. (2009). Adaptive Posterior Mode Estimation of a Sparse Sequence for Model Selection. Scandinavian Journal of Statistics. 36(4). 577–601. 8 indexed citations
13.
Sardy, Sylvain. (2008). On the Practice of Rescaling Covariates. International Statistical Review. 76(2). 285–297. 13 indexed citations
14.
Davison, A. C. & Sylvain Sardy. (2007). Resampling variance estimation in surveys with missing data. Journal of Official Statistics. 23(3). 371–386. 5 indexed citations
15.
Süveges, M., Marie Pertin, Nicolas Gilliard, et al.. (2006). Assessment and analysis of mechanical allodynia-like behavior induced by spared nerve injury (SNI) in the mouse. Pain. 122(1). 14e1–14e14. 280 indexed citations
16.
Schaub, L., Sylvain Sardy, & Gorana Capkun. (2002). Natural variation in baseline data: when do we call a new sample ‘resistant’?. Pest Management Science. 58(9). 959–963. 14 indexed citations
17.
Sardy, Sylvain, et al.. (2002). Statistical Data Analysis Based on the L1-Norm and Related Methods. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 395–403. 12 indexed citations
18.
Sardy, Sylvain, A. Gregory Bruce, & Paul Tseng. (2000). Block Coordinate Relaxation Methods for Nonparametric Wavelet Denoising. Journal of Computational and Graphical Statistics. 9(2). 361–379. 133 indexed citations
19.
Sardy, Sylvain, Donald B. Percival, A. Gregory Bruce, Hong‐Ye Gao, & Werner Stuetzle. (1999). Wavelet shrinkage for unequally spaced data. Statistics and Computing. 9(1). 65–75. 37 indexed citations
20.
Bruce, A. Gregory, Sylvain Sardy, & Paul Tseng. (1998). <title>Block coordinate relaxation methods for nonparamatric signal denoising</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3391. 75–86. 41 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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