T. M. Razykov

30 total papers · 464 total citations
14 papers, 372 citations indexed

About

T. M. Razykov is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, T. M. Razykov has authored 14 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electrical and Electronic Engineering, 14 papers in Materials Chemistry and 3 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in T. M. Razykov's work include Chalcogenide Semiconductor Thin Films (14 papers), Quantum Dots Synthesis And Properties (13 papers) and Advanced Semiconductor Detectors and Materials (6 papers). T. M. Razykov is often cited by papers focused on Chalcogenide Semiconductor Thin Films (14 papers), Quantum Dots Synthesis And Properties (13 papers) and Advanced Semiconductor Detectors and Materials (6 papers). T. M. Razykov collaborates with scholars based in Belarus, Uzbekistan and Japan. T. M. Razykov's co-authors include Abdurashid Mavlonov, Haoming Wei, Liang Qiao, Fazal Raziq, Sean Li, Yu Kawano, Takahito Nishimura, Jiantuo Gan, Andriy Zakutayev and Takashi Minemoto and has published in prestigious journals such as Solar Energy, Thin Solid Films and Journal of Materials Science Materials in Electronics.

In The Last Decade

T. M. Razykov

11 papers receiving 360 citations

Hit Papers

A review of Sb2Se3 photov... 2020 2026 2022 2024 2020 100 200 300

Author Peers

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

Author Last Decade Papers Cites
T. M. Razykov 329 322 56 42 22 14 372
K. Santhosh Kumar 328 1.0× 325 1.0× 82 1.5× 20 0.5× 25 1.1× 22 366
Jingyue Cao 368 1.1× 348 1.1× 71 1.3× 27 0.6× 12 0.5× 13 393
Erdinç Erol 224 0.7× 308 1.0× 71 1.3× 27 0.6× 10 0.5× 16 349
Langhui Wan 191 0.6× 315 1.0× 102 1.8× 50 1.2× 20 0.9× 20 384
Andrea Pianetti 352 1.1× 377 1.2× 56 1.0× 35 0.8× 37 1.7× 11 408
Zhiyuan Cai 326 1.0× 260 0.8× 41 0.7× 38 0.9× 17 0.8× 27 350
Niharika Joshi 359 1.1× 374 1.2× 78 1.4× 40 1.0× 10 0.5× 15 421
Zhaohui Shen 392 1.2× 368 1.1× 73 1.3× 30 0.7× 14 0.6× 14 415
Matan Menahem 350 1.1× 330 1.0× 67 1.2× 20 0.5× 31 1.4× 10 390
T. Nakashizu 216 0.7× 278 0.9× 69 1.2× 39 0.9× 45 2.0× 14 358

Countries citing papers authored by T. M. Razykov

Since Specialization
Citations

This map shows the geographic impact of T. M. Razykov'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 T. M. Razykov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. M. Razykov more than expected).

Fields of papers citing papers by T. M. Razykov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. M. Razykov. 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 T. M. Razykov. The network helps show where T. M. Razykov may publish in the future.

Co-authorship network of co-authors of T. M. Razykov

This figure shows the co-authorship network connecting the top 25 collaborators of T. M. Razykov. A scholar is included among the top collaborators of T. M. Razykov 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 T. M. Razykov. T. M. Razykov 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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