Omri Bar
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Biophysics top 5%
- Spectroscopy Techniques in Biomedical and Chemical Research
Papers in
- Surgery 7
- Surgical Simulation and Training 7
- Co-authors
- Yair Hanani (1 shared paper)Susanne B. Kamphausen (1 shared paper)Guy Nadav (1 shared paper)Nicole Fleischer (1 shared paper)Lina Basel‐Salmon (1 shared paper)Peter Krawitz (1 shared paper)Martin Zenker (1 shared paper)Yaron Gurovich (1 shared paper)
- Journals
- The Journal of Urology (2 papers)Journal of Minimally Invasive Gynecology (1 paper)International Journal of Gynecology & Obstetrics (1 paper)Current Topics in Medicinal Chemistry (1 paper)Journal of Gastroenterology (1 paper)
- Partner nations
- United StatesIsraelGermany
In The Last Decade
Omri Bar
16 papers receiving 689 citations
Omri Bar's Hit Papers
Peers
Comparison fields: 5 of 115
- Health Informatics 61
- Biophysics 73
- Genetics 154
- Analytical Chemistry 48
- Radiology, Nuclear Medicine and Imaging 72
Countries citing papers authored by Omri Bar
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Identifying facial phenotypes of genetic disorders using deep learning Hit paper breakdown → | 2018 | 456 |
| 2 | 2020 | 69 | |
| 3 | 2015 | 59 | |
| 4 | 2017 | 35 | |
| 5 | 2015 | 25 | |
| 6 | 2023 | 24 | |
| 7 | 2024 | 21 | |
| 8 | 2024 | 9 | |
| 9 | 2023 | 7 | |
| 10 | Accurate Detection of Out of Body Segments in Surgical Video using Semi-Supervised Learning | 2020 | 4 |
| 11 | 2024 | 4 | |
| 12 | 2025 | 2 | |
| 13 | 2024 | 2 | |
| 14 | 2023 | 2 | |
| 15 | 2023 | 1 | |
| 16 | 2022 | 1 | |
| 17 | 2024 | 0 | |
| 18 | 2022 | 0 |
About Omri Bar
Omri Bar is a scholar working on Surgery, Molecular Biology, Genetics, Infectious Diseases and Cardiology and Cardiovascular Medicine, having authored 18 papers that have together received 721 indexed citations. Recurring topics across this work include Surgical Simulation and Training (7 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers), Spectroscopy Techniques in Biomedical and Chemical Research (2 papers), Autism Spectrum Disorder Research (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), SARS-CoV-2 detection and testing (1 paper), Aortic aneurysm repair treatments (1 paper) and Genomics and Rare Diseases (1 paper). The work is most often cited by research in Health Informatics (61 citations), Biophysics (73 citations), Genetics (154 citations), Analytical Chemistry (48 citations) and Radiology, Nuclear Medicine and Imaging (72 citations). Omri Bar has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Yair Hanani, Susanne B. Kamphausen, Guy Nadav, Nicole Fleischer, Lina Basel‐Salmon, Peter Krawitz, Martin Zenker, Yaron Gurovich, Lynne M. Bird and Karen W. Gripp. Their work appears in journals such as The Journal of Urology, Journal of Minimally Invasive Gynecology, International Journal of Gynecology & Obstetrics, Current Topics in Medicinal Chemistry and Journal of Gastroenterology.
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.