Adrien Taylor

825 total citations
23 papers, 329 citations indexed

About

Adrien Taylor is a scholar working on Numerical Analysis, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Adrien Taylor has authored 23 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Numerical Analysis, 15 papers in Computational Mechanics and 14 papers in Artificial Intelligence. Recurrent topics in Adrien Taylor's work include Sparse and Compressive Sensing Techniques (15 papers), Advanced Optimization Algorithms Research (15 papers) and Stochastic Gradient Optimization Techniques (14 papers). Adrien Taylor is often cited by papers focused on Sparse and Compressive Sensing Techniques (15 papers), Advanced Optimization Algorithms Research (15 papers) and Stochastic Gradient Optimization Techniques (14 papers). Adrien Taylor collaborates with scholars based in France, Belgium and United States. Adrien Taylor's co-authors include François Glineur, Julien M. Hendrickx, Etienne de Klerk, Alexandre d’Aspremont, Damien Scieur, Francis Bach, Yoel Drori, Aymeric Dieuleveut, Pontus Giselsson and Xu Andy Sun and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Robotics and Mathematical Programming.

In The Last Decade

Adrien Taylor

23 papers receiving 317 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Adrien Taylor France	10	194	161	158	84	47	23	329
Olivier Devolder Belgium	5	143 0.7×	113 0.7×	148 0.9×	41 0.5×	27 0.6×	5	292
Yuyuan Ouyang United States	5	243 1.3×	134 0.8×	141 0.9×	104 1.2×	34 0.7×	17	348
Yoel Drori Israel	5	127 0.7×	93 0.6×	77 0.5×	68 0.8×	42 0.9×	7	197
Quoc Tran-Dinh United States	10	129 0.7×	115 0.7×	100 0.6×	56 0.7×	15 0.3×	23	231
Damek Davis United States	8	202 1.0×	176 1.1×	55 0.3×	197 2.3×	89 1.9×	32	406
Paul Tseng United States	8	124 0.6×	127 0.8×	122 0.8×	125 1.5×	17 0.4×	8	309
Alexander Gasnikov Russia	11	208 1.1×	128 0.8×	221 1.4×	87 1.0×	39 0.8×	98	400
Jianchao Bai China	9	179 0.9×	121 0.8×	56 0.4×	130 1.5×	43 0.9×	36	310
Gong Chen United States	3	123 0.6×	153 1.0×	36 0.2×	174 2.1×	47 1.0×	4	278
Zhongming Wu China	11	180 0.9×	102 0.6×	74 0.5×	76 0.9×	69 1.5×	30	284

Countries citing papers authored by Adrien Taylor

Since Specialization

Citations

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

Fields of papers citing papers by Adrien Taylor

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adrien Taylor

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

All Works

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20 of 20 papers shown

Caron, Stéphane, et al.. (2025). ProxQP: an Efficient and Versatile Quadratic Programming Solver for Real-Time Robotics Applications and Beyond. IEEE Transactions on Robotics. 1–19. 2 indexed citations

Taylor, Adrien, et al.. (2024). Automated tight Lyapunov analysis for first-order methods. Mathematical Programming. 209(1-2). 133–170. 3 indexed citations

Freund, Robert M., et al.. (2024). Nonlinear conjugate gradient methods: worst-case convergence rates via computer-assisted analyses. Mathematical Programming. 213(1-2). 1–49. 2 indexed citations

Glineur, François, et al.. (2024). PEPit: computer-assisted worst-case analyses of first-order optimization methods in Python. Mathematical Programming Computation. 16(3). 337–367. 2 indexed citations

Taylor, Adrien, et al.. (2023). A Systematic Approach to Lyapunov Analyses of Continuous-Time Models in Convex Optimization. SIAM Journal on Optimization. 33(3). 1558–1586. 7 indexed citations

Dieuleveut, Aymeric, et al.. (2023). On Fundamental Proof Structures in First-Order Optimization. 3023–3030. 2 indexed citations

Dieuleveut, Aymeric, et al.. (2023). Counter-Examples in First-Order Optimization: A Constructive Approach. IEEE Control Systems Letters. 7. 2485–2490. 2 indexed citations

Taylor, Adrien, et al.. (2022). Principled analyses and design of first-order methods with inexact proximal operators. Mathematical Programming. 201(1-2). 185–230. 8 indexed citations

Taylor, Adrien, et al.. (2022). A note on approximate accelerated forward-backward methods with absolute and relative errors, and possibly strongly convex objectives. SHILAP Revista de lepidopterología. 3. 1–15. 2 indexed citations

10.

Bach, Francis, et al.. (2021). Continuized Accelerations of Deterministic and Stochastic Gradient Descents, and of Gossip Algorithms. Neural Information Processing Systems. 34. 2 indexed citations

11.

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

12.

Drori, Yoel & Adrien Taylor. (2021). On the oracle complexity of smooth strongly convex minimization. Journal of Complexity. 68. 101590–101590. 1 indexed citations

13.

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

14.

Klerk, Etienne de, François Glineur, & Adrien Taylor. (2020). Worst-Case Convergence Analysis of Inexact Gradient and Newton Methods Through Semidefinite Programming Performance Estimation. SIAM Journal on Optimization. 30(3). 2053–2082. 19 indexed citations

15.

Taylor, Adrien, Julien M. Hendrickx, & François Glineur. (2017). Exact Worst-Case Performance of First-Order Methods for Composite Convex Optimization. SIAM Journal on Optimization. 27(3). 1283–1313. 53 indexed citations

16.

Taylor, Adrien, Julien M. Hendrickx, & François Glineur. (2017). Performance estimation toolbox (PESTO): Automated worst-case analysis of first-order optimization methods. 1278–1283. 19 indexed citations

17.

Taylor, Adrien. (2017). Convex interpolation and performance estimation of first-order methods for convex optimization. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 11 indexed citations

18.

Klerk, Etienne de, François Glineur, & Adrien Taylor. (2016). On the worst-case complexity of the gradient method with exact line search for smooth strongly convex functions. Optimization Letters. 11(7). 1185–1199. 32 indexed citations

19.

Taylor, Adrien, et al.. (2001). Benchmarking of Variable Density Model Codes against Henry's Problem. 3 indexed citations

20.

Taylor, Adrien. (1994). Plan for Service:. The Reference Librarian. 20(43). 101–105. 1 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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