Oleg Michailovich

2.9k citations
65 papers · 1.7k indexed · h-index 22

Oleg Michailovich

63 papers receiving 1.6k citations

Peers

Oleg Michailovich
Comparison fields: 5 of 116
  • Computational Mathematics 40
  • Radiology, Nuclear Medicine and Imaging 911
  • Computer Vision and Pattern Recognition 715
  • Media Technology 211
  • Biophysics 49
Replace Santiago Aja‐Fernández with:
Santiago Aja‐Fernández Spain
Vincent Arsigny France
Jan Kybic Czechia
Mikaël Rousson United States
David Tschumperlé France
Suyash P. Awate United States
C.-F. Westin United States
Leslie Ying United States
Joshua D. Trzasko United States
Jian Cheng China
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Citations per field
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Santiago Aja‐Fernández · 1×
Citations per year

Countries citing papers authored by Oleg Michailovich

Since Specialization
Citations

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

Fields of papers citing papers by Oleg Michailovich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202131
2 20194
3 2015128
4 201426
5 201315
6 201141
7 2011105
8 201022
9 201029
10 201010
11 200951
12 200930
13 200937
14 200716
15 2006291
16 200583
17 200425
18 200342
19 200211
20 200243

About Oleg Michailovich

Oleg Michailovich is a scholar working on Computational Mathematics, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Computational Mechanics and Media Technology, having authored 65 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (24 papers), Image and Signal Denoising Methods (22 papers), Advanced MRI Techniques and Applications (19 papers), Sparse and Compressive Sensing Techniques (17 papers), Ultrasound Imaging and Elastography (13 papers), Medical Image Segmentation Techniques (10 papers), Photoacoustic and Ultrasonic Imaging (7 papers) and Ultrasonics and Acoustic Wave Propagation (7 papers). The work is most often cited by research in Computational Mathematics (40 citations), Radiology, Nuclear Medicine and Imaging (911 citations), Computer Vision and Pattern Recognition (715 citations), Media Technology (211 citations) and Biophysics (49 citations). Oleg Michailovich has collaborated with scholars based in Canada, United States and Israel. Frequent co-authors include Allen Tannenbaum, Yogesh Rathi, Dan Adam, Sudipto Dolui, D. Adam, Martha E. Shenton, Sylvain Bouix, Kawin Setsompop, Carl‐Fredrik Westin and Tarek K. Rajji. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Medical Imaging, Medical Image Analysis, IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control and Signal 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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