Eduard Gorbunov

99 total papers · 708 total citations
14 papers, 66 citations indexed

About

Eduard Gorbunov is a scholar working on Computational Mechanics, Artificial Intelligence and Numerical Analysis. According to data from OpenAlex, Eduard Gorbunov has authored 14 papers receiving a total of 66 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computational Mechanics, 8 papers in Artificial Intelligence and 5 papers in Numerical Analysis. Recurrent topics in Eduard Gorbunov's work include Sparse and Compressive Sensing Techniques (10 papers), Stochastic Gradient Optimization Techniques (8 papers) and Advanced Optimization Algorithms Research (5 papers). Eduard Gorbunov is often cited by papers focused on Sparse and Compressive Sensing Techniques (10 papers), Stochastic Gradient Optimization Techniques (8 papers) and Advanced Optimization Algorithms Research (5 papers). Eduard Gorbunov collaborates with scholars based in Russia, Germany and France. Eduard Gorbunov's co-authors include Alexander Gasnikov, Pavel Dvurechensky, César A. Uribe, Filip Hanzely, Konstantin Mishchenko, Peter Richtárik, Martin Takáč, Darina Dvinskikh, Haoyue Wang and Bo Jiang and has published in prestigious journals such as European Journal of Operational Research, SIAM Journal on Optimization and Journal of Optimization Theory and Applications.

In The Last Decade

Eduard Gorbunov

12 papers receiving 66 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Eduard Gorbunov	40	32	18	18	10	14	66
Darina Dvinskikh	44 1.1×	39 1.2×	12 0.7×	20 1.1×	16 1.6×	22	78
Aymeric Dieuleveut	38 0.9×	17 0.5×	8 0.4×	9 0.5×	5 0.5×	12	56
Konstantin Mishchenko	46 1.1×	40 1.3×	15 0.8×	15 0.8×	18 1.8×	15	83
Filip Hanzely	27 0.7×	16 0.5×	6 0.3×	10 0.6×	7 0.7×	8	61
Jason M. Altschuler	35 0.9×	16 0.5×	5 0.3×	22 1.2×	3 0.3×	16	92
Blake Woodworth	68 1.7×	26 0.8×	7 0.4×	5 0.3×	17 1.7×	9	92
Yossi Arjevani	48 1.2×	31 1.0×	8 0.4×	7 0.4×	19 1.9×	10	74
Ameya Velingker	31 0.8×	31 1.0×	4 0.2×	29 1.6×	29 2.9×	12	84
Gauthier Gidel	28 0.7×	16 0.5×	6 0.3×	4 0.2×	5 0.5×	11	36
Clément Pernet	43 1.1×	10 0.3×	5 0.3×	63 3.5×	15 1.5×	19	96

Countries citing papers authored by Eduard Gorbunov

Since Specialization

Citations

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

Fields of papers citing papers by Eduard Gorbunov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eduard Gorbunov

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

All Works

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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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