D. Yu. Razorenov

62 total papers · 567 total citations
42 papers, 477 citations indexed

About

D. Yu. Razorenov is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, D. Yu. Razorenov has authored 42 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Electrical and Electronic Engineering, 16 papers in Polymers and Plastics and 15 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in D. Yu. Razorenov's work include Fuel Cells and Related Materials (27 papers), Electrocatalysts for Energy Conversion (15 papers) and Synthesis and properties of polymers (10 papers). D. Yu. Razorenov is often cited by papers focused on Fuel Cells and Related Materials (27 papers), Electrocatalysts for Energy Conversion (15 papers) and Synthesis and properties of polymers (10 papers). D. Yu. Razorenov collaborates with scholars based in Russia, Austria and Bulgaria. D. Yu. Razorenov's co-authors include I. I. Ponomarev, Yu. A. Volkova, Kirill M. Skupov, Ivan I. Ponomarev, О. М. Жигалина, А. Р. Хохлов, В. Е. Сосенкин, И. В. Благодатских, Yu. M. Volfkovich and Mikhail S. Kondratenko and has published in prestigious journals such as Polymer, RSC Advances and Materials.

In The Last Decade

D. Yu. Razorenov

42 papers receiving 470 citations

Author Peers

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

Author Last Decade Papers Cites
D. Yu. Razorenov 339 159 123 122 107 42 477
Yu. A. Volkova 339 1.0× 144 0.9× 121 1.0× 98 0.8× 105 1.0× 54 470
Jung‐Chul An 211 0.6× 104 0.7× 82 0.7× 109 0.9× 122 1.1× 30 459
Caihong Yang 315 0.9× 91 0.6× 66 0.5× 143 1.2× 169 1.6× 32 542
Vijayakumar Elumalai 311 0.9× 173 1.1× 83 0.7× 59 0.5× 83 0.8× 24 446
Qinyu Zhu 316 0.9× 70 0.4× 63 0.5× 140 1.1× 160 1.5× 20 496
Tai‐Chin Chiang 244 0.7× 113 0.7× 124 1.0× 153 1.3× 91 0.9× 29 443
Jossano Saldanha Marcuzzo 193 0.6× 143 0.9× 90 0.7× 223 1.8× 168 1.6× 36 542
N. Sankara Subramanian 299 0.9× 105 0.7× 74 0.6× 163 1.3× 179 1.7× 25 498
Changjiu Li 235 0.7× 94 0.6× 82 0.7× 91 0.7× 172 1.6× 41 514
Eduard E. Levin 357 1.1× 130 0.8× 64 0.5× 100 0.8× 152 1.4× 49 546

Countries citing papers authored by D. Yu. Razorenov

Since Specialization
Citations

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

Fields of papers citing papers by D. Yu. Razorenov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. Yu. Razorenov. 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 D. Yu. Razorenov. The network helps show where D. Yu. Razorenov may publish in the future.

Co-authorship network of co-authors of D. Yu. Razorenov

This figure shows the co-authorship network connecting the top 25 collaborators of D. Yu. Razorenov. A scholar is included among the top collaborators of D. Yu. Razorenov 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 D. Yu. Razorenov. D. Yu. Razorenov 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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