Sivan Lieberman
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
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- Lung Cancer Diagnosis and Treatment
- Sarcoma Diagnosis and Treatment
Papers in
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- Radiomics and Machine Learning in Medical Imaging 5
- COVID-19 diagnosis using AI 4
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- Lung Cancer Diagnosis and Treatment 4
- Co-authors
- Eli Konen (5 shared papers)Hayit Greenspan (4 shared papers)Lior Wolf (2 shared papers)Yaniv Bar (2 shared papers)Idit Diamant (2 shared papers)Nurith Hiller (2 shared papers)Dina Ben‐Yehuda (3 shared papers)Allan I. Bloom (4 shared papers)
- Journals
- Seminars in Ultrasound CT and MRI (2 papers)American Journal of Roentgenology (2 papers)Journal of Thoracic Imaging (2 papers)Journal of Clinical Oncology (2 papers)Clinical Radiology (1 paper)
- Partner nations
- IsraelUnited States
In The Last Decade
Sivan Lieberman
28 papers receiving 683 citations
Peers
Comparison fields: 5 of 99
- Radiology, Nuclear Medicine and Imaging 230
- Pulmonary and Respiratory Medicine 248
- Health Informatics 9
- Ophthalmology 57
- Pathology and Forensic Medicine 92
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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 244 | |
| 2 | 2004 | 83 | |
| 3 | 2004 | 67 | |
| 4 | 2003 | 65 | |
| 5 | 2016 | 43 | |
| 6 | 2003 | 34 | |
| 7 | 2005 | 30 | |
| 8 | Computed tomographic features of tuboovarian abscess. | 2005 | 29 |
| 9 | 2005 | 25 | |
| 10 | 2004 | 11 | |
| 11 | 2015 | 11 | |
| 12 | 2016 | 10 | |
| 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 | 2011 | 5 | |
| 17 | 2015 | 4 | |
| 18 | Severe influenza A (H1N1): the course of imaging findings. | 2011 | 4 |
| 19 | 2019 | 3 | |
| 20 | Neo-adjuvant Chemo-Radiation to 60 Gray Followed by Surgery for Locally Advanced Non-Small Cell Lung Cancer Patients: Evaluation of Trimodality Strategy. | 2017 | 3 |
About Sivan Lieberman
Sivan Lieberman is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Surgery, Pathology and Forensic Medicine and Oncology, having authored 29 papers that have together received 711 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (5 papers), COVID-19 diagnosis using AI (4 papers), AI in cancer detection (4 papers), Lung Cancer Diagnosis and Treatment (4 papers), Lymphoma Diagnosis and Treatment (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), IgG4-Related and Inflammatory Diseases (2 papers) and Venous Thromboembolism Diagnosis and Management (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (230 citations), Pulmonary and Respiratory Medicine (248 citations), Health Informatics (9 citations), Ophthalmology (57 citations) and Pathology and Forensic Medicine (92 citations). Sivan Lieberman has collaborated with scholars based in Israel and United States. Frequent co-authors include Eli Konen, Hayit Greenspan, Lior Wolf, Yaniv Bar, Idit Diamant, Nurith Hiller, Dina Ben‐Yehuda, Allan I. Bloom, Ronit Agid and Dorith Shaham. Their work appears in journals such as Seminars in Ultrasound CT and MRI, American Journal of Roentgenology, Journal of Thoracic Imaging, Journal of Clinical Oncology 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.