Damien Scieur

453 citations
11 papers · 179 indexed · h-index 5
Topics
Stochastic Gradient Optimization Techniques (4 papers)Sparse and Compressive Sensing Techniques (3 papers)Electric Power System Optimization (3 papers)
Journals
Mathematical ProgrammingIEEE Transactions on Sustainable EnergyHAL (Le Centre pour la Communication Scientifique Directe)

In The Last Decade

Damien Scieur

10 papers receiving 174 citations

Peers

Damien Scieur
Comparison fields: 5 of 42
  • Electrical and Electronic Engineering 105
  • Control and Systems Engineering 45
  • Artificial Intelligence 34
  • Numerical Analysis 29
  • Computational Mechanics 26
Replace Cédric Josz with:
Cédric Josz United States
Diego Feijer Uruguay
Salar Fattahi United States
A. L. Reznik Russia
S. Fliscounakis Belgium
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Damien Scieur relative to Cédric Josz United States Cédric Josz's profile →
Citations per field
00.5×2.8×
Cédric Josz · 1×
Citations per year

Countries citing papers authored by Damien Scieur

Since Specialization
Citations

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

Fields of papers citing papers by Damien Scieur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Damien Scieur

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 3
2 23
3 12
4
Accelerating Smooth Games by Manipulating Spectral Shapes.
0
5
Acceleration through spectral density estimation
4
6
Universal Asymptotic Optimality of Polyak Momentum
2
7 3
8 3
9
Integration Methods and Optimization Algorithms
9
10 101
11
Regularized Nonlinear Acceleration
19

About Damien Scieur

Damien Scieur is a scholar working on Numerical Analysis, Modeling and Simulation and Computational Mechanics, having authored 11 papers that have together received 179 indexed citations. Recurring topics across this work include Stochastic Gradient Optimization Techniques (4 papers), Sparse and Compressive Sensing Techniques (3 papers) and Electric Power System Optimization (3 papers). The work is most often cited by research in Numerical Analysis (29 citations), Computational Mathematics (2 citations) and Control and Systems Engineering (45 citations). Damien Scieur has collaborated with scholars based in France, United States and South Korea. Frequent co-authors include Anthony Papavasiliou, Yuting Mou, Alexandre d’Aspremont, Adrien Taylor, Francis Bach, Fabián Pedregosa, Pierre Henneaux, Simon Lacoste-Julien, Gauthier Gidel and Ioannis Mitliagkas. Their work appears in journals such as Mathematical Programming, IEEE Transactions on Sustainable Energy and HAL (Le Centre pour la Communication Scientifique Directe).

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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