Damien Scieur

453 total citations
11 papers, 179 citations indexed

About

Damien Scieur is a scholar working on Artificial Intelligence, Numerical Analysis and Computational Mechanics. According to data from OpenAlex, Damien Scieur has authored 11 papers receiving a total of 179 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Numerical Analysis and 3 papers in Computational Mechanics. Recurrent topics in Damien Scieur's work include Stochastic Gradient Optimization Techniques (4 papers), Sparse and Compressive Sensing Techniques (3 papers) and Electric Power System Optimization (3 papers). Damien Scieur is often cited by papers focused on Stochastic Gradient Optimization Techniques (4 papers), Sparse and Compressive Sensing Techniques (3 papers) and Electric Power System Optimization (3 papers). Damien Scieur collaborates with scholars based in France, United States and South Korea. Damien Scieur's 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 and has published in prestigious journals such as Mathematical Programming, IEEE Transactions on Sustainable Energy and HAL (Le Centre pour la Communication Scientifique Directe).

In The Last Decade

Damien Scieur

10 papers receiving 174 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Damien Scieur France	5	105	45	34	29	26	11	179
Cédric Josz United States	7	195 1.9×	72 1.6×	12 0.4×	63 2.2×	30 1.2×	24	282
Salar Fattahi United States	9	76 0.7×	86 1.9×	37 1.1×	25 0.9×	33 1.3×	26	208
Morteza Ashraphijuo United States	9	160 1.5×	62 1.4×	14 0.4×	26 0.9×	81 3.1×	20	267
Diego Feijer Uruguay	3	81 0.8×	99 2.2×	53 1.6×	43 1.5×	47 1.8×	3	335
Xinyi Xu China	9	32 0.3×	20 0.4×	72 2.1×	8 0.3×	21 0.8×	17	175
Helfried Peyrl Switzerland	10	99 0.9×	147 3.3×	8 0.2×	47 1.6×	6 0.2×	18	257
Tillmann Mühlpfordt Germany	9	187 1.8×	114 2.5×	7 0.2×	7 0.2×	7 0.3×	20	268
M.J. Short United Kingdom	9	369 3.5×	115 2.6×	50 1.5×	9 0.3×	12 0.5×	21	408
Luca Furieri Switzerland	9	25 0.2×	142 3.2×	29 0.9×	10 0.3×	6 0.2×	25	190
S. Fliscounakis Belgium	7	350 3.3×	101 2.2×	9 0.3×	13 0.4×	7 0.3×	10	378

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

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11 of 11 papers shown

1.

Scieur, Damien, et al.. (2022). Nonlinear acceleration of momentum and primal-dual algorithms. Mathematical Programming. 198(1). 325–362. 3 indexed citations

2.

d’Aspremont, Alexandre, Damien Scieur, & Adrien Taylor. (2021). Acceleration Methods. 5(1-2). 1–245. 23 indexed citations

3.

d’Aspremont, Alexandre, Damien Scieur, & Adrien Taylor. (2021). Acceleration Methods. 12 indexed citations

4.

Scieur, Damien & Fabián Pedregosa. (2020). Universal Asymptotic Optimality of Polyak Momentum. International Conference on Machine Learning. 1. 8565–8572. 2 indexed citations

5.

Scieur, Damien, et al.. (2020). Accelerating Smooth Games by Manipulating Spectral Shapes.. International Conference on Artificial Intelligence and Statistics. 1705–1715.

6.

Pedregosa, Fabián & Damien Scieur. (2020). Acceleration through spectral density estimation. International Conference on Machine Learning. 1. 7553–7562. 4 indexed citations

7.

Scieur, Damien, et al.. (2018). Optimal Management of Storage for Offsetting Solar Power Uncertainty Using Multistage Stochastic Programming. 1–7. 3 indexed citations

8.

Papavasiliou, Anthony, et al.. (2018). Application of Stochastic Dual Dynamic Programming to the Real-Time Dispatch of Storage under Renewable Supply Uncertainty. 1–1. 3 indexed citations

9.

Scieur, Damien, et al.. (2017). Integration Methods and Optimization Algorithms. Neural Information Processing Systems. 30. 1109–1118. 9 indexed citations

10.

Papavasiliou, Anthony, et al.. (2017). Application of Stochastic Dual Dynamic Programming to the Real-Time Dispatch of Storage Under Renewable Supply Uncertainty. IEEE Transactions on Sustainable Energy. 9(2). 547–558. 101 indexed citations

11.

Scieur, Damien, Alexandre d’Aspremont, & Francis Bach. (2016). Regularized Nonlinear Acceleration. HAL (Le Centre pour la Communication Scientifique Directe). 19 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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