Valery Polyakov

973 citations
30 papers · 484 · h-index 10

Impact in

Papers in

Valery Polyakov

28 papers receiving 464 citations

Peers

Valery Polyakov
Comparison fields: 5 of 89
  • Computational Theory and Mathematics 113
  • Inorganic Chemistry 63
  • Electronic, Optical and Magnetic Materials 72
  • Materials Chemistry 136
  • Organic Chemistry 82
Replace Pandian Sokkar with:
Pandian Sokkar Germany
Casey M. Campbell United States
Kunhao Zhang China
France Favarger Switzerland
Stefano A. Serapian Italy
Patricia Marqués‐Gallego Netherlands
François Maurel France
T. Tiefenbrunn United States
Hao Geng China
K. A. Srinivas India
Valery Polyakov relative to Pandian Sokkar Germany Pandian Sokkar's profile →
Citations per field
00.5×
Pandian Sokkar · 1×
Citations per year

Countries citing papers authored by Valery Polyakov

Since Specialization
Citations

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

Fields of papers citing papers by Valery Polyakov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Valery 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 Valery Polyakov Line = papers co-authored together Valery Polyakov links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000121
2 201748
3 200147
4 201941
5 199737
6 199735
7 201131
8 199418
9 202313
10 199711
11 20039
12 19987
13 19937
14 20017
15 20147
16 19956
17 20245
18 20225
19 20015
20 19995

About Valery Polyakov

Valery Polyakov is a scholar working on Materials Chemistry, Organic Chemistry, Oncology, Molecular Biology and Computational Theory and Mathematics, having authored 30 papers that have together received 484 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Metal complexes synthesis and properties (5 papers), Material Properties and Applications (4 papers), Structural mechanics and materials (4 papers), Organometallic Complex Synthesis and Catalysis (4 papers), Lanthanide and Transition Metal Complexes (3 papers), Bioinformatics and Genomic Networks (3 papers) and Microbial Natural Products and Biosynthesis (2 papers). The work is most often cited by research in Computational Theory and Mathematics (113 citations), Inorganic Chemistry (63 citations), Electronic, Optical and Magnetic Materials (72 citations), Materials Chemistry (136 citations) and Organic Chemistry (82 citations). Valery Polyakov has collaborated with scholars based in United States, Latvia and Ukraine. Frequent co-authors include David Piwnica‐Worms, Vijay Sharma, Julie L. Dahlheimer, Gary D. Luker, Christina M. Pica, Tian Li, Éric Martin, Rolando Perez, Xiang‐Wei Zhu and Vladimir N. Kokozay. Their work appears in journals such as Journal of Chemical Information and Modeling, Inorganic Chemistry, Composite Structures, Journal of Sandwich Structures & Materials and Polyhedron.

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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