Omri Bar

1.2k citations
16 papers · 653 · 1 hit paper · h-index 8

Impact in

    • Artificial Intelligence in Healthcare and Education
  • Biophysics top 5%
    • Spectroscopy Techniques in Biomedical and Chemical Research

Papers in

Omri Bar

15 papers receiving 630 citations

Omri Bar's Hit Papers

Identifying facial phenotypes of genetic disorders using deep learning 2018 · 411 citations
4110+2+5Years since publication100200300400

Peers

Omri Bar
Comparison fields: 5 of 118
  • Health Informatics 69
  • Biophysics 71
  • Genetics 172
  • Analytical Chemistry 47
  • Radiology, Nuclear Medicine and Imaging 81
Replace Ezgi Mercan with:
Ezgi Mercan United States
Joshua Levy United States
Felipe Giuste United States
Wiebke Sondermann Germany
Nicole Fleischer United States
Ken Takasawa Japan
Yaron Gurovich Germany
Yair Hanani Israel
Takashi Nagaoka Japan
Roozbeh Houshyar United States
Omri Bar relative to Ezgi Mercan United States Ezgi Mercan's profile →
Citations per field
00.5×9.4×
Ezgi Mercan · 1×
Citations per year

Countries citing papers authored by Omri Bar

Since Specialization
Citations

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

Fields of papers citing papers by Omri Bar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1
Identifying facial phenotypes of genetic disorders using deep learning
Hit paper breakdown →
2018411
2 202061
3 201555
4 201735
5 201525
6 202322
7 202417
8 20247
9 20236
10 20244
11
Accurate Detection of Out of Body Segments in Surgical Video using Semi-Supervised Learning
20203
12 20242
13 20232
14 20252
15 20221
16 20220

About Omri Bar

Omri Bar is a scholar working on Surgery, Molecular Biology, Genetics, Biomedical Engineering and Infectious Diseases, having authored 16 papers that have together received 653 indexed citations. Recurring topics across this work include Surgical Simulation and Training (4 papers), Autism Spectrum Disorder Research (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), Spectroscopy Techniques in Biomedical and Chemical Research (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Cleft Lip and Palate Research (1 paper), Anatomy and Medical Technology (1 paper) and Migraine and Headache Studies (1 paper). The work is most often cited by research in Health Informatics (69 citations), Biophysics (71 citations), Genetics (172 citations), Analytical Chemistry (47 citations) and Radiology, Nuclear Medicine and Imaging (81 citations). Omri Bar has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Nicole Fleischer, Yaron Gurovich, Peter Krawitz, Karen W. Gripp, Martin Zenker, Guy Nadav, Lynne M. Bird, Yair Hanani, Lina Basel‐Salmon and Susanne B. Kamphausen. Their work appears in journals such as The Journal of Urology, Nature Medicine, Scientific Reports, Current Topics in Medicinal Chemistry and BMC Cancer.

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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