M. E. Shirokov

839 citations
65 papers · 433 · h-index 12

Impact in

Papers in

M. E. Shirokov

56 papers receiving 354 citations

Peers

M. E. Shirokov
Comparison fields: 5 of 31
  • Artificial Intelligence 331
  • Atomic and Molecular Physics, and Optics 300
  • Statistical and Nonlinear Physics 91
  • Mathematical Physics 36
  • Computational Theory and Mathematics 47
Replace Gen Kimura with:
Gen Kimura Japan
Giacomo De Palma Italy
Xianqing Li‐Jost Germany
Luc Bouten United States
Takayuki Miyadera Japan
Biswajit Dutta India
Gunther Dirr Germany
Jukka Kiukas Finland
Michał Studziński Poland
D. Schlingemann Germany
M. E. Shirokov relative to Gen Kimura Japan Gen Kimura's profile →
Citations per field
00.5×1.7×
Gen Kimura · 1×
Citations per year

Countries citing papers authored by M. E. Shirokov

Since Specialization
Citations

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

Fields of papers citing papers by M. E. Shirokov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside M. E. Shirokov, 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 M. E. Shirokov Line = papers co-authored together M. E. Shirokov links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200637
2 200531
3 200828
4 200627
5 199725
6 200519
7 201618
8 201818
9 201015
10 201314
11 202013
12 200611
13 200510
14 201210
15 201810
16 200810
17 20239
18 20079
19 20196
20 20216

About M. E. Shirokov

M. E. Shirokov is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Mathematical Physics, Computational Theory and Mathematics and Statistical and Nonlinear Physics, having authored 65 papers that have together received 433 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (51 papers), Quantum Mechanics and Applications (44 papers), Quantum Computing Algorithms and Architecture (38 papers), Spectral Theory in Mathematical Physics (10 papers), Quantum optics and atomic interactions (6 papers), Advanced Thermodynamics and Statistical Mechanics (5 papers), Matrix Theory and Algorithms (5 papers) and Functional Equations Stability Results (2 papers). The work is most often cited by research in Artificial Intelligence (331 citations), Atomic and Molecular Physics, and Optics (300 citations), Statistical and Nonlinear Physics (91 citations), Mathematical Physics (36 citations) and Computational Theory and Mathematics (47 citations). M. E. Shirokov has collaborated with scholars based in Russia, Netherlands and Germany. Frequent co-authors include A. S. Holevo, A. S. Kholevo, Reinhard F. Werner, A. S. Dmitriev, С. О. Старков, Mark M. Wilde, Ludovico Lami, Vladimir Yu. Protasov and Г. Г. Амосов. Their work appears in journals such as Problems of Information Transmission, Russian Mathematical Surveys, Sbornik Mathematics, Izvestiya Mathematics and Quantum Information Processing.

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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