Yura Malitsky

791 total citations
13 papers, 374 citations indexed

About

Yura Malitsky is a scholar working on Numerical Analysis, Computational Mechanics and Computational Theory and Mathematics. According to data from OpenAlex, Yura Malitsky has authored 13 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Numerical Analysis, 6 papers in Computational Mechanics and 6 papers in Computational Theory and Mathematics. Recurrent topics in Yura Malitsky's work include Advanced Optimization Algorithms Research (6 papers), Sparse and Compressive Sensing Techniques (5 papers) and Optimization and Variational Analysis (5 papers). Yura Malitsky is often cited by papers focused on Advanced Optimization Algorithms Research (6 papers), Sparse and Compressive Sensing Techniques (5 papers) and Optimization and Variational Analysis (5 papers). Yura Malitsky collaborates with scholars based in Sweden, Switzerland and Germany. Yura Malitsky's co-authors include Matthew K. Tam, Thomas Pock, Volkan Cevher, Zheng Chen, Erik G. Larsson, Mikael Johansson, Francisco J. Aragón Artacho, Carlo Fischione, Peter Richtárik and Konstantin Mishchenko and has published in prestigious journals such as Mathematical Programming, IEEE Network and SIAM Journal on Optimization.

In The Last Decade

Yura Malitsky

12 papers receiving 362 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yura Malitsky Sweden	7	239	200	157	102	49	13	374
Damek Davis United States	8	197 0.8×	176 0.9×	202 1.3×	89 0.9×	55 1.1×	32	406
Dmitriy Drusvyatskiy United States	11	202 0.8×	164 0.8×	111 0.7×	33 0.3×	36 0.7×	37	319
Hein Hundal United States	11	270 1.1×	225 1.1×	145 0.9×	65 0.6×	39 0.8×	13	377
Jianchao Bai China	9	130 0.5×	121 0.6×	179 1.1×	43 0.4×	56 1.1×	36	310
Ch. Dossal France	5	153 0.6×	118 0.6×	218 1.4×	125 1.2×	56 1.1×	8	341
Andrzej Cegielski Poland	11	448 1.9×	354 1.8×	122 0.8×	74 0.7×	18 0.4×	25	515
Nobuhiko Ogura Japan	7	300 1.3×	235 1.2×	248 1.6×	43 0.4×	24 0.5×	12	547
Masoud Ahookhosh Austria	13	204 0.9×	362 1.8×	194 1.2×	53 0.5×	104 2.1×	29	480
Yunier Bello-Cruz Brazil	14	491 2.1×	453 2.3×	210 1.3×	96 0.9×	36 0.7×	43	596
Jefferson G. Melo Brazil	10	183 0.8×	217 1.1×	151 1.0×	38 0.4×	56 1.1×	26	293

Countries citing papers authored by Yura Malitsky

Since Specialization

Citations

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

Fields of papers citing papers by Yura Malitsky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yura Malitsky

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

All Works

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13 of 13 papers shown

Malitsky, Yura & Konstantin Mishchenko. (2024). Adaptive Proximal Gradient Method for Convex Optimization. 100670–100697. 1 indexed citations

Chen, Zheng, Erik G. Larsson, Carlo Fischione, Mikael Johansson, & Yura Malitsky. (2023). Over-the-Air Computation for Distributed Systems: Something Old and Something New. IEEE Network. 37(5). 240–246. 12 indexed citations

Chen, Zheng & Yura Malitsky. (2023). Over-the-Air Computation With Multiple Receivers: A Space-Time Approach. IEEE Wireless Communications Letters. 12(8). 1399–1403. 4 indexed citations

Artacho, Francisco J. Aragón, et al.. (2022). Distributed forward-backward methods for ring networks. Computational Optimization and Applications. 86(3). 845–870. 7 indexed citations

Malitsky, Yura & Matthew K. Tam. (2022). Resolvent splitting for sums of monotone operators with minimal lifting. Mathematical Programming. 201(1-2). 231–262. 12 indexed citations

Malitsky, Yura, et al.. (2021). Convergence of adaptive algorithms for constrained weakly convex optimization. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 34. 1 indexed citations

Malitsky, Yura, et al.. (2021). Forward-reflected-backward method with variance reduction. Computational Optimization and Applications. 80(2). 321–346. 8 indexed citations

Mishchenko, Konstantin, et al.. (2020). Revisiting Stochastic Extragradient. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 4573–4582. 3 indexed citations

Malitsky, Yura & Matthew K. Tam. (2020). A Forward-Backward Splitting Method for Monotone Inclusions Without Cocoercivity. SIAM Journal on Optimization. 30(2). 1451–1472. 128 indexed citations

10.

Malitsky, Yura, et al.. (2020). A new regret analysis for Adam-type algorithms. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1. 202–210. 5 indexed citations

11.

Ochs, Peter & Yura Malitsky. (2019). Model Function Based Conditional Gradient Method with Armijo-like Line Search. International Conference on Machine Learning. 4891–4900. 2 indexed citations

12.

Malitsky, Yura. (2019). Golden ratio algorithms for variational inequalities. Mathematical Programming. 184(1-2). 383–410. 119 indexed citations

13.

Malitsky, Yura & Thomas Pock. (2018). A First-Order Primal-Dual Algorithm with Linesearch. SIAM Journal on Optimization. 28(1). 411–432. 72 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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