Andreas Themelis

579 total citations
21 papers, 270 citations indexed

About

Andreas Themelis is a scholar working on Computational Mechanics, Numerical Analysis and Computational Theory and Mathematics. According to data from OpenAlex, Andreas Themelis has authored 21 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computational Mechanics, 12 papers in Numerical Analysis and 11 papers in Computational Theory and Mathematics. Recurrent topics in Andreas Themelis's work include Sparse and Compressive Sensing Techniques (15 papers), Advanced Optimization Algorithms Research (12 papers) and Optimization and Variational Analysis (11 papers). Andreas Themelis is often cited by papers focused on Sparse and Compressive Sensing Techniques (15 papers), Advanced Optimization Algorithms Research (12 papers) and Optimization and Variational Analysis (11 papers). Andreas Themelis collaborates with scholars based in Japan, Belgium and Germany. Andreas Themelis's co-authors include Panagiotis Patrinos, Lorenzo Stella, Ruben Van Parys, Pantelis Sopasakis, Goele Pipeleers, Masoud Ahookhosh, Miguel Simões, Alberto Bemporad, Kaoru Yamamoto and Lorenzo Stella and has published in prestigious journals such as Mathematical Programming, SIAM Journal on Optimization and Journal of Optimization Theory and Applications.

In The Last Decade

Andreas Themelis

19 papers receiving 264 citations

Peers

Andreas Themelis

CTM

CSE

CVPR

Pengjie Liu China

Azali Saudi Malaysia

Qingjie Hu China

Wah June Leong Malaysia

Chunming Tang China

Min Meng China

Victor Gergel Russia

Giórgio Valmórbida France

Meng‐Bi Cheng Taiwan

Wen Mi China

Pengjie Liu China

Andreas Themelis

219 ×1.6

232 ×1.8

96 ×1.2

CTM

31 ×0.4

CSE

99 ×1.5

CVPR

Citations per year, relative to Andreas Themelis Andreas Themelis (= 1×) peers Pengjie Liu

Countries citing papers authored by Andreas Themelis

Since Specialization

Citations

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

Fields of papers citing papers by Andreas Themelis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Themelis

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Themelis. A scholar is included among the top collaborators of Andreas Themelis 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 Andreas Themelis. Andreas Themelis 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

Themelis, Andreas, et al.. (2025). On the Convergence of Proximal Gradient Methods for Convex Simple Bilevel Optimization. Journal of Optimization Theory and Applications. 204(3).

Themelis, Andreas, et al.. (2024). Adaptive proximal algorithms for convex optimization under local Lipschitz continuity of the gradient. Mathematical Programming. 213(1-2). 433–471. 4 indexed citations

Themelis, Andreas, et al.. (2024). SPIRAL: a superlinearly convergent incremental proximal algorithm for nonconvex finite sum minimization. Computational Optimization and Applications. 88(1). 71–106.

Themelis, Andreas, et al.. (2023). Gauss–Newton meets PANOC: A fast and globally convergent algorithm for nonlinear optimal control. IFAC-PapersOnLine. 56(2). 4852–4857. 1 indexed citations

Themelis, Andreas, et al.. (2023). Dualities for Non-Euclidean Smoothness and Strong Convexity under the Light of Generalized Conjugacy. SIAM Journal on Optimization. 33(4). 2721–2749. 1 indexed citations

Themelis, Andreas, et al.. (2023). Optimal Grid Layouts for Hybrid Offshore Assets in the North Sea Under Different Market Designs. Lirias (KU Leuven). 1(4). 468–479. 3 indexed citations

Themelis, Andreas, et al.. (2022). Proximal Gradient Algorithms Under Local Lipschitz Gradient Continuity. Journal of Optimization Theory and Applications. 194(3). 771–794. 14 indexed citations

Themelis, Andreas, et al.. (2022). QPALM: a proximal augmented lagrangian method for nonconvex quadratic programs. Mathematical Programming Computation. 14(3). 497–541. 9 indexed citations

Huang, Shuo, et al.. (2022). Flock navigation with dynamic hierarchy and subjective weights using nonlinear MPC. 1135–1140. 3 indexed citations

10.

Themelis, Andreas, Lorenzo Stella, & Panagiotis Patrinos. (2022). Douglas–Rachford splitting and ADMM for nonconvex optimization: accelerated and Newton-type linesearch algorithms. Computational Optimization and Applications. 82(2). 395–440. 6 indexed citations

11.

Themelis, Andreas, et al.. (2022). Bregman Finito/MISO for Nonconvex Regularized Finite Sum Minimization without Lipschitz Gradient Continuity. SIAM Journal on Optimization. 32(3). 2230–2262. 7 indexed citations

12.

Themelis, Andreas, et al.. (2022). Douglas–Peucker piecewise affine approximation of an optimal fuel consumption problem to apply PANOC. 34–38. 1 indexed citations

13.

Themelis, Andreas, et al.. (2021). Block-coordinate and incremental aggregated proximal gradient methods for nonsmooth nonconvex problems. Mathematical Programming. 193(1). 195–224. 10 indexed citations

14.

Simões, Miguel, Andreas Themelis, & Panagiotis Patrinos. (2021). Lasry-Lions Envelopes and Nonconvex Optimization: A Homotopy Approach. 2021 29th European Signal Processing Conference (EUSIPCO). 2089–2093. 3 indexed citations

15.

Themelis, Andreas, et al.. (2020). A new envelope function for nonsmooth DC optimization. Lirias (KU Leuven). 4697–4702. 1 indexed citations

16.

Sopasakis, Pantelis, et al.. (2018). Embedded nonlinear model predictive control for obstacle avoidance using PANOC. Lirias (KU Leuven). 1523–1528. 69 indexed citations

17.

Themelis, Andreas, Lorenzo Stella, & Panagiotis Patrinos. (2018). Forward-Backward Envelope for the Sum of Two Nonconvex Functions: Further Properties and Nonmonotone Linesearch Algorithms. SIAM Journal on Optimization. 28(3). 2274–2303. 53 indexed citations

18.

Themelis, Andreas, Lorenzo Stella, & Panagiotis Patrinos. (2017). Douglas-Rachford splitting and ADMM for nonconvex optimization: new convergence results and accelerated versions. 2 indexed citations

19.

Stella, Lorenzo, Andreas Themelis, & Panagiotis Patrinos. (2017). Forward–backward quasi-Newton methods for nonsmooth optimization problems. Computational Optimization and Applications. 67(3). 443–487. 61 indexed citations

20.

Themelis, Andreas, Silvia Villa, Panagiotis Patrinos, & Alberto Bemporad. (2016). Stochastic gradient methods for stochastic model predictive control. Lirias (KU Leuven). 154–159. 2 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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