Sivan Lieberman
Impact in
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- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
- Ophthalmology top 5%
- Ocular Diseases and Behçet’s Syndrome
Papers in
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- COVID-19 diagnosis using AI 4
- Radiomics and Machine Learning in Medical Imaging 4
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- Lung Cancer Diagnosis and Treatment 3
- Co-authors
- Eli Konen (5 shared papers)Hayit Greenspan (4 shared papers)Idit Diamant (2 shared papers)Yaniv Bar (2 shared papers)Lior Wolf (2 shared papers)Nurith Hiller (2 shared papers)Ronit Agid (3 shared papers)Allan I. Bloom (4 shared papers)
- Journals
- Journal of Clinical Oncology (2 papers)Journal of Thoracic Imaging (2 papers)American Journal of Roentgenology (2 papers)Seminars in Ultrasound CT and MRI (2 papers)Clinical Radiology (1 paper)
- Partner nations
- IsraelUnited States
In The Last Decade
Sivan Lieberman
29 papers receiving 693 citations
Peers
Comparison fields: 5 of 91
- Radiology, Nuclear Medicine and Imaging 208
- Ophthalmology 55
- Pulmonary and Respiratory Medicine 173
- Health Informatics 7
- Hepatology 31
Countries citing papers authored by Sivan Lieberman
This map shows the geographic impact of Sivan Lieberman'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 Sivan Lieberman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sivan Lieberman more than expected).
Fields of papers citing papers by Sivan Lieberman
This network shows the impact of papers produced by Sivan Lieberman. 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 Sivan Lieberman. The network helps show where Sivan Lieberman may publish in the future.
Co-authors
The 25 scholars most cited alongside Sivan Lieberman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 244 | |
| 2 | 2004 | 84 | |
| 3 | 2004 | 67 | |
| 4 | 2003 | 65 | |
| 5 | 2016 | 44 | |
| 6 | 2003 | 34 | |
| 7 | 2005 | 30 | |
| 8 | Computed tomographic features of tuboovarian abscess. | 2005 | 29 |
| 9 | 2005 | 25 | |
| 10 | 2016 | 11 | |
| 11 | 2004 | 11 | |
| 12 | 2015 | 11 | |
| 13 | 2007 | 9 | |
| 14 | The prevalence of specific IgE antibodies to natural rubber latex in healthcare workers in Israel. | 2000 | 8 |
| 15 | Breast magnetic resonance imaging characteristics in women with occult primary breast carcinoma. | 2008 | 6 |
| 16 | Improved survival with surgery and systemic chemotherapy for undifferentiated embryonal sarcoma of the liver. | 2005 | 5 |
| 17 | 2011 | 5 | |
| 18 | 2019 | 4 | |
| 19 | 2015 | 4 | |
| 20 | Severe influenza A (H1N1): the course of imaging findings. | 2011 | 4 |
About Sivan Lieberman
Sivan Lieberman is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Oncology, Pathology and Forensic Medicine and Artificial Intelligence, having authored 30 papers that have together received 721 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), AI in cancer detection (4 papers), Lung Cancer Diagnosis and Treatment (3 papers), Lymphoma Diagnosis and Treatment (3 papers), IgG4-Related and Inflammatory Diseases (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers) and Neuroendocrine Tumor Research Advances (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (208 citations), Ophthalmology (55 citations), Pulmonary and Respiratory Medicine (173 citations), Health Informatics (7 citations) and Hepatology (31 citations). Sivan Lieberman has collaborated with scholars based in Israel and United States. Frequent co-authors include Eli Konen, Hayit Greenspan, Idit Diamant, Yaniv Bar, Lior Wolf, Nurith Hiller, Ronit Agid, Allan I. Bloom, Dina Ben‐Yehuda and Dorith Shaham. Their work appears in journals such as Journal of Clinical Oncology, Journal of Thoracic Imaging, American Journal of Roentgenology, Seminars in Ultrasound CT and MRI and Clinical Radiology.
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.