Yuriy Polyakov

2.1k citations
54 papers · 860 · h-index 15

Impact in

Papers in

Yuriy Polyakov

49 papers receiving 831 citations

Peers

Yuriy Polyakov
Comparison fields: 5 of 104
  • Water Science and Technology 202
  • Artificial Intelligence 373
  • Information Systems 141
  • Computational Theory and Mathematics 73
  • Health Informatics 6
Replace Jongsoo Park with:
Jongsoo Park South Korea
Kaiyuan Wang China
Jindong Chen China
Haitao Wang China
Soumya Sahoo India
Hien M. Nguyen Vietnam
Wenjing Ma China
Taichi Nakamura Japan
Carlos Roberto Hall Barbosa Brazil
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Citations per field
00.5×3.4×
Jongsoo Park · 1×
Citations per year

Countries citing papers authored by Yuriy Polyakov

Since Specialization
Citations

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

Fields of papers citing papers by Yuriy Polyakov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yuriy Polyakov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yuriy Polyakov Line = papers co-authored together Yuriy Polyakov links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013117
2 201981
3 202069
4 200755
5 201747
6 201744
7 201138
8 201032
9 201627
10 201825
11 202023
12 200823
13 201919
14 201015
15 200514
16 200613
17 202313
18 200512
19 202511
20 200911

About Yuriy Polyakov

Yuriy Polyakov is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Water Science and Technology, Computational Theory and Mathematics and Information Systems, having authored 54 papers that have together received 860 indexed citations. Recurring topics across this work include Cryptography and Data Security (19 papers), Membrane Separation Technologies (14 papers), Aerosol Filtration and Electrostatic Precipitation (11 papers), Privacy-Preserving Technologies in Data (10 papers), Complexity and Algorithms in Graphs (7 papers), Electrostatics and Colloid Interactions (5 papers), Electrohydrodynamics and Fluid Dynamics (5 papers) and Cloud Data Security Solutions (5 papers). The work is most often cited by research in Water Science and Technology (202 citations), Artificial Intelligence (373 citations), Information Systems (141 citations), Computational Theory and Mathematics (73 citations) and Health Informatics (6 citations). Yuriy Polyakov has collaborated with scholars based in United States, Russia and United Kingdom. Frequent co-authors include С. Ф. Тимашев, Andrew L. Zydney, Kurt Rohloff, Marcelo Blatt, Alexander Gusev, Shafi Goldwasser, Ahmad Al Badawi, Khin Mi Mi Aung, Vinod Vaikuntanathan and Bharadwaj Veeravalli. Their work appears in journals such as Journal of Membrane Science, Physica A Statistical Mechanics and its Applications, Theoretical Foundations of Chemical Engineering, BMC Medical Genomics and IEEE Transactions on Information Forensics and Security.

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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