Lev A. Matveev

2.4k citations
124 papers · 1.8k · h-index 27

Impact in

Papers in

Lev A. Matveev

116 papers receiving 1.7k citations

Peers

Lev A. Matveev
Comparison fields: 5 of 84
  • Radiology, Nuclear Medicine and Imaging 860
  • Biomedical Engineering 1.5k
  • Biophysics 158
  • Ophthalmology 86
  • Computer Vision and Pattern Recognition 156
Replace Alexander L. Matveyev with:
Alexander L. Matveyev Russia
Kelsey M. Kennedy Australia
Natalia D. Gladkova Russia
Shyam Srinivas United States
Andrea Curatolo Australia
Ekaterina V. Gubarkova Russia
Valentin M. Gelikonov Russia
Judit Zubovits Canada
Christine P. Hendon United States
Frederic L. Lizzi United States
Lev A. Matveev relative to Alexander L. Matveyev Russia Alexander L. Matveyev's profile →
Citations per field
00.5×1.5×
Alexander L. Matveyev · 1×
Citations per year

Countries citing papers authored by Lev A. Matveev

Since Specialization
Citations

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

Fields of papers citing papers by Lev A. Matveev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lev A. Matveev. 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 Lev A. Matveev. The network helps show where Lev A. Matveev may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 124 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020104
2 201888
3 201678
4 202066
5 201762
6 201756
7 201956
8 201852
9 201550
10 201548
11 201747
12 201846
13 201743
14 201943
15 201441
16 201840
17 201039
18 201337
19 202036
20 202034

About Lev A. Matveev

Lev A. Matveev is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Surgery, Biophysics and Computer Vision and Pattern Recognition, having authored 124 papers that have together received 1.8k indexed citations. Recurring topics across this work include Optical Coherence Tomography Applications (98 papers), Photoacoustic and Ultrasonic Imaging (85 papers), Ultrasound Imaging and Elastography (42 papers), Coronary Interventions and Diagnostics (13 papers), Advanced Fluorescence Microscopy Techniques (10 papers), Optical measurement and interference techniques (8 papers), Angiogenesis and VEGF in Cancer (7 papers) and Ultrasound and Hyperthermia Applications (7 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (860 citations), Biomedical Engineering (1.5k citations), Biophysics (158 citations), Ophthalmology (86 citations) and Computer Vision and Pattern Recognition (156 citations). Lev A. Matveev has collaborated with scholars based in Russia, Canada and United States. Frequent co-authors include Vladimir Y. Zaitsev, Alexander L. Matveyev, Grigory V. Gelikonov, Alexander A. Sovetsky, I. Alex Vitkin, Natalia D. Gladkova, Marina A. Sirotkina, Valentin M. Gelikonov, Ekaterina V. Gubarkova and Elena V. Zagaynova. Their work appears in journals such as Laser Physics Letters, Journal of Biophotonics, Scientific Reports, Biomedical Optics Express and Photonics.

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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