Alexander Gasnikov

2.3k total citations
98 papers, 400 citations indexed

About

Alexander Gasnikov is a scholar working on Artificial Intelligence, Computational Mechanics and Numerical Analysis. According to data from OpenAlex, Alexander Gasnikov has authored 98 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Artificial Intelligence, 50 papers in Computational Mechanics and 32 papers in Numerical Analysis. Recurrent topics in Alexander Gasnikov's work include Stochastic Gradient Optimization Techniques (48 papers), Sparse and Compressive Sensing Techniques (45 papers) and Advanced Optimization Algorithms Research (29 papers). Alexander Gasnikov is often cited by papers focused on Stochastic Gradient Optimization Techniques (48 papers), Sparse and Compressive Sensing Techniques (45 papers) and Advanced Optimization Algorithms Research (29 papers). Alexander Gasnikov collaborates with scholars based in Russia, Germany and United States. Alexander Gasnikov's co-authors include Pavel Dvurechensky, Yu. E. Nesterov, Darina Dvinskikh, Eduard Gorbunov, César A. Uribe, Dmitry Kovalev, Vladimir Spokoiny, Ekaterina Krymova, Alexander P. Buslaev and M. V. Yashina and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Chaos Solitons & Fractals.

In The Last Decade

Alexander Gasnikov

82 papers receiving 393 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexander Gasnikov Russia 11 221 208 128 87 55 98 400
Arkadi Nemirovsky Russia 7 235 1.1× 210 1.0× 182 1.4× 163 1.9× 75 1.4× 8 545
Nataša Krejić Serbia 12 102 0.5× 148 0.7× 258 2.0× 156 1.8× 29 0.5× 58 469
Adrien Taylor France 10 158 0.7× 194 0.9× 161 1.3× 84 1.0× 41 0.7× 23 329
Mert Pilancı United States 9 186 0.8× 188 0.9× 49 0.4× 48 0.6× 23 0.4× 47 368
Tao Pham Dinh France 12 97 0.4× 185 0.9× 212 1.7× 177 2.0× 55 1.0× 26 451
Damek Davis United States 8 55 0.2× 202 1.0× 176 1.4× 197 2.3× 36 0.7× 32 406
Ying Cui United States 11 43 0.2× 143 0.7× 112 0.9× 114 1.3× 12 0.2× 27 297
Paul Tseng United States 8 122 0.6× 124 0.6× 127 1.0× 125 1.4× 36 0.7× 8 309
Dmitriy Drusvyatskiy United States 11 36 0.2× 111 0.5× 164 1.3× 202 2.3× 16 0.3× 37 319
Marat S. Mukhametzhanov Italy 13 185 0.8× 62 0.3× 139 1.1× 305 3.5× 12 0.2× 27 586

Countries citing papers authored by Alexander Gasnikov

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Gasnikov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Gasnikov

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

All Works

20 of 20 papers shown
1.
Gasnikov, Alexander, et al.. (2025). Accelerated Methods with Compression for Horizontal and Vertical Federated Learning. Journal of Optimization Theory and Applications. 208(2).
2.
Gasnikov, Alexander, et al.. (2025). Distributed saddle point problems: lower bounds, near-optimal and robust algorithms. Optimization methods & software. 40(5). 1249–1266.
3.
Gasnikov, Alexander & Vladimir Temlyakov. (2024). On greedy approximation in complex Banach spaces. Успехи математических наук. 79(6(480)). 39–56.
4.
Dvinskikh, Darina, et al.. (2024). Decentralized saddle point problems via non-Euclidean mirror prox. Optimization methods & software. 40(5). 1127–1152. 1 indexed citations
5.
Dvinskikh, Darina, et al.. (2024). Gradient-free algorithm for saddle point problems under overparametrization. Chaos Solitons & Fractals. 185. 115048–115048. 2 indexed citations
6.
Kutuzov, Nikolay, et al.. (2024). Implicitly normalized forecaster with clipping for linear and non-linear heavy-tailed multi-armed bandits. Computational Management Science. 21(1).
7.
Kovalev, Dmitry, et al.. (2023). On Accelerated Methods for Saddle-Point Problems with Composite Structure. Computer Research and Modeling. 15(2). 433–467. 1 indexed citations
8.
Gasnikov, Alexander, et al.. (2022). Stochastic saddle-point optimization for the Wasserstein barycenter problem. Optimization Letters. 16(7). 2145–2175. 2 indexed citations
9.
Scutari, Gesualdo, et al.. (2021). Distributed Saddle-Point Problems Under Data Similarity. Neural Information Processing Systems. 34. 7 indexed citations
10.
Dvinskikh, Darina, et al.. (2020). Ускоренный и неускореный стохастический градиентный спуск в модельной общности. Математические заметки. 108(4). 515–528. 1 indexed citations
11.
Gasnikov, Alexander, et al.. (2020). Efficient numerical methods to solve sparse linear equations with application to PageRank. Optimization methods & software. 37(3). 907–935. 2 indexed citations
12.
Gasnikov, Alexander, Pavel Dvurechensky, Eduard Gorbunov, et al.. (2019). Near Optimal Methods for Minimizing Convex Functions with Lipschitz $p$-th Derivatives. Conference on Learning Theory. 1392–1393. 7 indexed citations
13.
14.
Dvinskikh, Darina, et al.. (2019). On the Complexity of Approximating Wasserstein Barycenters. arXiv (Cornell University). 3530–3540. 12 indexed citations
15.
Dvinskikh, Darina, et al.. (2018). Decentralize and Randomize: Faster Algorithm for Wasserstein Barycenters. Neural Information Processing Systems. 31. 10760–10770. 11 indexed citations
16.
Gasnikov, Alexander, et al.. (2018). Algorithms for local minimization of 3D molecules OPLS force field. arXiv (Cornell University).
17.
Dvurechensky, Pavel, Alexander Gasnikov, Gleb Gusev, et al.. (2016). Learning Supervised PageRank with Gradient-Based and Gradient-Free Optimization Methods. Neural Information Processing Systems. 29. 4914–4922. 1 indexed citations
18.
Gasnikov, Alexander & Pavel Dvurechensky. (2016). Stochastic intermediate gradient method for convex optimization problems. Doklady Mathematics. 93(2). 148–151. 9 indexed citations
19.
Gasnikov, Alexander, et al.. (2015). Universal method of Yu. Nesterov with inexact oracle and its applications for searching equillibriums in multistage transport problems. arXiv (Cornell University). 1 indexed citations
20.
Gasnikov, Alexander. (2009). Time-asymptotic behaviour of a solution of the Cauchy initial-value problem for a conservation law with non-linear divergent viscosity. Izvestiya Mathematics. 73(6). 1111–1148. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Arkadi Nemirovsky Breakdown of academic impact, for papers by Nataša Krejić Breakdown of academic impact, for papers by Adrien Taylor Breakdown of academic impact, for papers by Mert Pilancı Breakdown of academic impact, for papers by Tao Pham Dinh Breakdown of academic impact, for papers by Damek Davis Breakdown of academic impact, for papers by Ying Cui Breakdown of academic impact, for papers by Paul Tseng Breakdown of academic impact, for papers by Dmitriy Drusvyatskiy Breakdown of academic impact, for papers by Marat S. Mukhametzhanov
Rankless by CCL
2026