Sivan Lieberman

About

Sivan Lieberman is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Sivan Lieberman has authored 29 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pulmonary and Respiratory Medicine, 9 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Oncology. Recurrent topics in Sivan Lieberman’s work include Radiomics and Machine Learning in Medical Imaging (5 papers), Lymphoma Diagnosis and Treatment (4 papers) and Lung Cancer Diagnosis and Treatment (4 papers). Sivan Lieberman is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), Lymphoma Diagnosis and Treatment (4 papers) and Lung Cancer Diagnosis and Treatment (4 papers). Sivan Lieberman collaborates with scholars based in Israel and United States. Sivan Lieberman's co-authors include Eli Konen, Hayit Greenspan, Lior Wolf, Yaniv Bar, Idit Diamant, Nurith Hiller, Allan I. Bloom, Ronit Agid, Dina Ben‐Yehuda and Tova Chajek‐Shaul and has published in prestigious journals such as Journal of Clinical Oncology, American Journal of Roentgenology and Radiographics.

In The Last Decade

Co-authorship network of co-authors of Sivan Lieberman i

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Fields of papers citing papers by Sivan Lieberman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Sivan Lieberman

Since Specialization

Citations

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).

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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