Mikhail Lazarev

27 total papers · 410 total citations
15 papers, 309 citations indexed

About

Mikhail Lazarev is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry and Electrical and Electronic Engineering. According to data from OpenAlex, Mikhail Lazarev has authored 15 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Atomic and Molecular Physics, and Optics, 5 papers in Materials Chemistry and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Mikhail Lazarev's work include Quantum and electron transport phenomena (7 papers), Semiconductor Quantum Structures and Devices (7 papers) and Machine Learning in Materials Science (3 papers). Mikhail Lazarev is often cited by papers focused on Quantum and electron transport phenomena (7 papers), Semiconductor Quantum Structures and Devices (7 papers) and Machine Learning in Materials Science (3 papers). Mikhail Lazarev collaborates with scholars based in Russia, Germany and Switzerland. Mikhail Lazarev's co-authors include R. I. Dzhioev, V. L. Korenev, B. P. Zakharchenya, K. V. Kavokin, D. Gammon, D. S. Katzer, B. Ya. Meltser, Yu. G. Kusrayev, T. Kießling and L. W. Molenkamp and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Physical review. B, Condensed matter.

In The Last Decade

Mikhail Lazarev

14 papers receiving 297 citations

Author Peers

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

Author Last Decade Papers Cites
Mikhail Lazarev 269 120 68 63 26 15 309
K. A. Villegas Rosales 252 0.9× 77 0.6× 124 1.8× 96 1.5× 24 0.9× 15 293
Gaomin Tang 280 1.0× 88 0.7× 73 1.1× 89 1.4× 58 2.2× 20 357
F. G. G. Hernández 273 1.0× 76 0.6× 112 1.6× 56 0.9× 19 0.7× 30 294
J. C. Le Breton 202 0.8× 155 1.3× 57 0.8× 101 1.6× 49 1.9× 12 289
Xiaoyu Liu 234 0.9× 94 0.8× 38 0.6× 135 2.1× 30 1.2× 28 318
Maria Stamenova 272 1.0× 153 1.3× 60 0.9× 82 1.3× 66 2.5× 18 324
B. A. Piot 215 0.8× 72 0.6× 103 1.5× 77 1.2× 16 0.6× 16 244
M. Menant 244 0.9× 139 1.2× 118 1.7× 145 2.3× 34 1.3× 21 332
P. Altmann 200 0.7× 158 1.3× 106 1.6× 170 2.7× 19 0.7× 9 334
Berthold Jäck 227 0.8× 69 0.6× 151 2.2× 74 1.2× 44 1.7× 14 320

Countries citing papers authored by Mikhail Lazarev

Since Specialization
Citations

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

Fields of papers citing papers by Mikhail Lazarev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mikhail Lazarev

This figure shows the co-authorship network connecting the top 25 collaborators of Mikhail Lazarev. A scholar is included among the top collaborators of Mikhail Lazarev 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 Mikhail Lazarev. Mikhail Lazarev 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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