Ignace Loris

1.9k total citations
48 papers, 1.2k citations indexed

About

Ignace Loris is a scholar working on Statistical and Nonlinear Physics, Computational Mechanics and Geometry and Topology. According to data from OpenAlex, Ignace Loris has authored 48 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Statistical and Nonlinear Physics, 15 papers in Computational Mechanics and 14 papers in Geometry and Topology. Recurrent topics in Ignace Loris's work include Nonlinear Waves and Solitons (20 papers), Sparse and Compressive Sensing Techniques (15 papers) and Nonlinear Photonic Systems (15 papers). Ignace Loris is often cited by papers focused on Nonlinear Waves and Solitons (20 papers), Sparse and Compressive Sensing Techniques (15 papers) and Nonlinear Photonic Systems (15 papers). Ignace Loris collaborates with scholars based in Belgium, Japan and United States. Ignace Loris's co-authors include Ingrid Daubechies, Ralph Willox, Christine De Mol, Domenico Giannone, Johan Springael, Guust Nolet, Franklin Lambert, F. A. Dahlen, Federica Porta and Marco Prato and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Computational Physics and Geophysical Journal International.

In The Last Decade

Ignace Loris

46 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
Ignace Loris Belgium 16 408 261 238 205 183 48 1.2k
P. Wojtaszczyk Poland 19 244 0.6× 366 1.4× 46 0.2× 141 0.7× 25 0.1× 65 1.8k
Adam M. Oberman Canada 20 120 0.3× 355 1.4× 21 0.1× 182 0.9× 90 0.5× 45 1.3k
Mark A. Pinsky United States 24 251 0.6× 69 0.3× 13 0.1× 126 0.6× 210 1.1× 126 1.6k
Wolfgang M. Schmidt Germany 17 66 0.2× 155 0.6× 41 0.2× 276 1.3× 308 1.7× 79 1.3k
Gustav Doetsch Germany 12 203 0.5× 129 0.5× 26 0.1× 62 0.3× 72 0.4× 18 1.5k
Hans‐Peter Scheffler Germany 18 395 1.0× 76 0.3× 22 0.1× 46 0.2× 496 2.7× 59 2.7k
Loukas Grafakos United States 32 159 0.4× 244 0.9× 46 0.2× 165 0.8× 105 0.6× 124 6.0k
John B. Walsh Canada 19 117 0.3× 72 0.3× 19 0.1× 48 0.2× 566 3.1× 47 1.5k
Agnès Tourin United States 9 52 0.1× 294 1.1× 27 0.1× 14 0.1× 281 1.5× 16 911
Wuchen Li United States 16 228 0.6× 137 0.5× 11 0.0× 19 0.1× 78 0.4× 83 851

Countries citing papers authored by Ignace Loris

Since Specialization
Citations

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

Fields of papers citing papers by Ignace Loris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ignace Loris

This figure shows the co-authorship network connecting the top 25 collaborators of Ignace Loris. A scholar is included among the top collaborators of Ignace Loris 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 Ignace Loris. Ignace Loris 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.
Loris, Ignace, et al.. (2024). Convergence analysis of a primal–dual optimization-by-continuation algorithm. Journal of Computational and Applied Mathematics. 457. 116299–116299.
2.
Bonettini, Silvia, et al.. (2017). On the convergence of a linesearch based proximal-gradient method for nonconvex optimization. Inverse Problems. 33(5). 55005–55005. 25 indexed citations
3.
Nassiri, Vahid & Ignace Loris. (2013). A generalized quantile regression model. Journal of Applied Statistics. 40(5). 1090–1105. 4 indexed citations
4.
Charléty, Jean, Guust Nolet, Sergey Voronin, et al.. (2012). Inversion with a sparsity constraint: Application to mantle tomography. EGU General Assembly Conference Abstracts. 80(1). 5551–4. 2 indexed citations
5.
Simons, Frederik J., Ignace Loris, Eugene Brevdo, & Ingrid Daubechies. (2011). Wavelets and wavelet-like transforms on the sphere and their application to geophysical data inversion. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8138. 81380X–81380X. 8 indexed citations
6.
Loris, Ignace, Frederik J. Simons, Ingrid Daubechies, et al.. (2010). A new approach to global seismic tomography based on regularization by sparsity in a novel 3D spherical wavelet basis. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 6033. 2 indexed citations
7.
Loris, Ignace, M. Bertero, Christine De Mol, Riccardo Zanella, & Luca Zanni. (2009). Accelerating gradient projection methods for1-constrained signal recovery by steplength selection rules. Applied and Computational Harmonic Analysis. 27(2). 247–254. 43 indexed citations
8.
Daubechies, Ingrid, et al.. (2009). Sparse and stable Markowitz portfolios. Proceedings of the National Academy of Sciences. 106(30). 12267–12272. 303 indexed citations
9.
Loris, Ignace, Huub Douma, Guust Nolet, Ingrid Daubechies, & Carl Regone. (2009). Nonlinear regularization techniques for seismic tomography. Journal of Computational Physics. 229(3). 890–905. 47 indexed citations
10.
Loris, Ignace. (2008). L1Packv2: A Mathematica package for minimizing an -penalized functional. Computer Physics Communications. 179(12). 895–902. 13 indexed citations
11.
Loris, Ignace, Guust Nolet, Ingrid Daubechies, & T. Dahlén. (2006). Tomographic inversion using L1-regularization of Wavelet Coefficients. AGU Fall Meeting Abstracts. 2006. 1 indexed citations
12.
Loris, Ignace. (2002). Bilinear Representations of Integrable Equations. Theoretical and Mathematical Physics. 133(2). 1549–1556. 1 indexed citations
13.
Lambert, Franklin, Ignace Loris, & Johan Springael. (2001). Classical Darboux transformations and the KP hierarchy. Inverse Problems. 17(4). 1067–1074. 67 indexed citations
14.
Loris, Ignace. (2001). Solutions of Coupled Korteweg-de Vries Systems. Journal of the Physical Society of Japan. 70(3). 662–665. 2 indexed citations
15.
Loris, Ignace. (2000). RECURSION OPERATOR FOR A CONSTRAINED BKP SYSTEM. 325–330. 1 indexed citations
16.
Willox, Ralph & Ignace Loris. (1999). KP constraints from reduced multi-component hierarchies. Journal of Mathematical Physics. 40(12). 6501–6525. 5 indexed citations
17.
Willox, Ralph, Tetsuji Tokihiro, Ignace Loris, & Junkichi Satsuma. (1998). The fermionic approach to Darboux transformations. Inverse Problems. 14(3). 745–762. 11 indexed citations
18.
Willox, Ralph, Ignace Loris, & C. R. Gilson. (1997). Binary Darboux transformations for constrained KP hierarchies. Inverse Problems. 13(3). 849–865. 18 indexed citations
19.
Springael, Johan, Xing‐Biao Hu, & Ignace Loris. (1996). Bilinear Characterization of Higher Order Ito-Equations. Journal of the Physical Society of Japan. 65(5). 1222–1226. 4 indexed citations
20.
Loris, Ignace, et al.. (1995). Bilinearization of the non-local Boussinesq equation. Journal of Physics A Mathematical and General. 28(20). 5963–5972. 12 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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