Charles Dossal

17 papers receiving 256 citations

Peers

Charles Dossal
Comparison fields: 5 of 52
  • Numerical Analysis 44
  • Mathematical Physics 65
  • Computational Mechanics 135
  • Computational Theory and Mathematics 64
  • Finance 38
Replace Pekka Neittaanmäki with:
Pekka Neittaanmäki Finland
Samy Wu Fung United States
Yuyuan Ouyang United States
Vitaly Maiorov Israel
V. Maiorov Israel
Florencio I. Utreras Chile
Dennis Amelunxen United Kingdom
Ch. Dossal France
Dmitriy Drusvyatskiy United States
Elias S. Helou Brazil
Charles Dossal relative to Pekka Neittaanmäki Finland Pekka Neittaanmäki's profile →
Citations per field
00.5×4.3×
Pekka Neittaanmäki · 1×
Citations per year

Countries citing papers authored by Charles Dossal

Since Specialization
Citations

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

Fields of papers citing papers by Charles Dossal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Charles Dossal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Charles Dossal Line = papers co-authored together Charles Dossal links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 200649
2 201840
3
OPTIMAL CONVERGENCE RATES FOR NESTEROV ACCELERATION
201835
4 201029
5
Local behavior of sparse analysis regularization: Applications to risk estimation
201325
6 201217
7 201112
8 200712
9 202010
10 20179
11 20216
12 20234
13 20134
14
On the weak convergence of the iterates of "FISTA"
20144
15
The degrees of freedom of penalized l1 minimization
20114
16
How to make sure the iterates of FISTA converge
20143
17 20242
18 20151
19 20250

About Charles Dossal

Charles Dossal is a scholar working on Computational Mechanics, Computational Theory and Mathematics, Mathematical Physics, Numerical Analysis and Artificial Intelligence, having authored 19 papers that have together received 266 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (12 papers), Optimization and Variational Analysis (6 papers), Numerical methods in inverse problems (5 papers), Advanced Optimization Algorithms Research (4 papers), Stochastic Gradient Optimization Techniques (3 papers), Microwave Imaging and Scattering Analysis (2 papers), Statistical Methods and Inference (2 papers) and Mathematical Analysis and Transform Methods (2 papers). The work is most often cited by research in Numerical Analysis (44 citations), Mathematical Physics (65 citations), Computational Mechanics (135 citations), Computational Theory and Mathematics (64 citations) and Finance (38 citations). Charles Dossal has collaborated with scholars based in France and Italy. Frequent co-authors include Jean–François Aujol, Gabriel Peyré, Aude Rondepierre, Jalal Fadili, Emmanuel Gobet, Rémi Munos, Antonin Chambolle, Vincent Duval, Clarice Poon and Erwan Le Pennec. Their work appears in journals such as Applied and Computational Harmonic Analysis, Mathematical Programming, Journal of Optimization Theory and Applications, Applied Mathematics & Optimization and SIAM Journal on Optimization.

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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