The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Yuri Owechko sits on this spectrum.
This scientist: 197 publications — 47th percentile
47% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 804 publications or more.
The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Yuri Owechko sits on this spectrum.
This scientist: 35 D-Index — 10th percentile
10% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 107 D-Index or more.
Yuri Owechko is affiliated with HRL Laboratories in the United States. Their research spans multiple fields, including Computer Science, Engineering, and Medicine. This multidisciplinary approach is reflected in Owechko's work across subfields such as Artificial Intelligence, Media Technology, and Ophthalmology.
Their research output includes a focus on topics like Domain Adaptation and Few-Shot Learning, Image Processing Techniques and Applications, and Ocular Diseases and Behçet's Syndrome. These areas indicate engagement with both technical aspects of machine learning and practical medical applications.
Owechko has coauthored publications with several researchers, including Mohammad Rostami, Soheil Kolouri, Zak Murez, Eric Eaton, and Kuyngnam Kim. Collaboration with these frequent coauthors suggests an interdisciplinary team approach combining expertise from diverse domains.
The scientist's work has been published primarily in the venue Machine Learning with Applications. One notable paper is "Zero-shot image classification using coupled dictionary embedding," published in 2022, which contributes to advances in image classification within machine learning.
This publication aligns with the research themes of domain adaptation and image processing by exploring zero-shot learning techniques to generalize image classification without extensive labeled data.
B. H. Soffer;G. J. Dunning;Y. Owechko;E. Marom
Narayan Srinivasa;Swarup S. Medasani;Yuri Owechko;Deepak Khosla
Narayan Srinivasa;Swarup S. Medasani;Yuri Owechko;Deepak Khosla
Yuri Owechko
Y. Owechko;G. J. Dunning;E. Marom;B. H. Soffer
S. Medasani;N. Srinivasa;Y. Owechko
Y. Owechko
Yuri Owechko;Narayan Srinivasa;Swarup S. Medasani;Riccardo Boscolo
Yilu Zhang;Y. Owechko;Jing Zhang
Jan Grinberg;Thomas R. O'Meara;Yuri Owechko;Melvin E. Pedinoff
Gilmore J. Dunning;Emanuel Marom;Yuri Owechko;Bernard H. Soffer
Swarup Medasani;Yuri Owechko
Narayan Srinivasa;Yuri Owechko
Jing Zhang;Yilu Zhang;Yuri Owechko
Narayan Srinivasa;Yuri Owechko
Y. Owechko;S. Medasani;N. Srinivasa
Yuri Owechko;Narayan Srinivasa;Swarup Medasani;Riccardo Boscolo
Narayan Srinivasa;Swarup Medasani;Yuri Owechko;Deepak Khosla
Yuri Owechko;Swarup Medasani;Payam Saisan
Wells James W;Menassa Ronald J;Wampler Ii Charles W;Kyungnam Kim
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