Michael Vasilyev

2.3k citations
166 papers · 1.7k · h-index 20

Impact in

Papers in

Michael Vasilyev

148 papers receiving 1.6k citations

Peers

Michael Vasilyev
Comparison fields: 5 of 42
  • Acoustics and Ultrasonics 51
  • Atomic and Molecular Physics, and Optics 1.1k
  • Electrical and Electronic Engineering 1.3k
  • Instrumentation 29
  • Artificial Intelligence 276
Replace Rikizo Ikuta with:
Rikizo Ikuta Japan
Onur Kuzucu United States
Virginia D’Auria France
Benjamin Brecht Germany
Serkan Ateş Germany
Rostislav V. Roussev United States
Kaisa Laiho Germany
Kim Fook Lee United States
Ana Predojević Austria
Prem Kumar United States
Michael Vasilyev relative to Rikizo Ikuta Japan Rikizo Ikuta's profile →
Citations per field
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Rikizo Ikuta · 1×
Citations per year

Countries citing papers authored by Michael Vasilyev

Since Specialization
Citations

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

Fields of papers citing papers by Michael Vasilyev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 166 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999107
2 2005107
3 200590
4 200076
5 200574
6 199951
7 200851
8 201044
9 201743
10 200241
11 200538
12 199836
13 200736
14 200335
15 199833
16 199931
17 200129
18 201129
19 200120
20 200920

About Michael Vasilyev

Michael Vasilyev is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Acoustics and Ultrasonics, Artificial Intelligence and Biophysics, having authored 166 papers that have together received 1.7k indexed citations. Recurring topics across this work include Optical Network Technologies (96 papers), Advanced Fiber Laser Technologies (90 papers), Photonic and Optical Devices (64 papers), Advanced Photonic Communication Systems (43 papers), Photonic Crystal and Fiber Optics (26 papers), Semiconductor Lasers and Optical Devices (15 papers), Laser-Matter Interactions and Applications (14 papers) and Advanced Fiber Optic Sensors (12 papers). The work is most often cited by research in Acoustics and Ultrasonics (51 citations), Atomic and Molecular Physics, and Optics (1.1k citations), Electrical and Electronic Engineering (1.3k citations), Instrumentation (29 citations) and Artificial Intelligence (276 citations). Michael Vasilyev has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Prem Kumar, Taras I. Lakoba, Sang-Kyung Choi, Prem Kumar, Giacomo Mauro D’Ariano, Nikolai M. Stelmakh, S. Tsuda, Preetpaul S. Devgan, V.S. Grigoryan and Renyong Tang. Their work appears in journals such as Optics Express, Optics Letters, IEEE Photonics Technology Letters, Journal of Lightwave Technology and Optics Communications.

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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