Zohar Keidar
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Pulmonary and Respiratory Medicine top 2%
- Surgery top 2%
- Oncology top 5%
- Epidemiology top 5%
- Co-authors
- Ora IsraelRachel Bar‐ShalomAlex FrenkelDiana GaitiniSamy NiteckiLuda GuralnikAbraham KutenYodphat Krausz
- Topics
- Medical Imaging Techniques and Applications (44 papers)Radiomics and Machine Learning in Medical Imaging (24 papers)Cardiac Imaging and Diagnostics (23 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingPulmonary and Respiratory MedicineEmergency Medicine
- Partner nations
- IsraelUnited StatesSpain
In The Last Decade
Zohar Keidar
125 papers receiving 4.4k citations
Peers
Comparison fields: 5 of 117
- Radiology, Nuclear Medicine and Imaging 2.3k
- Pulmonary and Respiratory Medicine 1.3k
- Surgery 1.3k
- Oncology 682
- Epidemiology 671
Countries citing papers authored by Zohar Keidar
This map shows the geographic impact of Zohar Keidar'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 Zohar Keidar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zohar Keidar more than expected).
Fields of papers citing papers by Zohar Keidar
This network shows the impact of papers produced by Zohar Keidar. 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 Zohar Keidar. The network helps show where Zohar Keidar may publish in the future.
Co-authorship network of co-authors of Zohar Keidar
This figure shows the co-authorship network connecting the top 25 collaborators of Zohar Keidar. A scholar is included among the top collaborators of Zohar Keidar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zohar Keidar. Zohar Keidar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 26 | |
| 7 | 2 | |
| 8 | 32 | |
| 9 | 9 | |
| 10 | 9 | |
| 11 | 40 | |
| 12 | 5 | |
| 13 | 9 | |
| 14 | 51 | |
| 15 | 31 | |
| 16 | 27 | |
| 17 | 2 | |
| 18 | 4 | |
| 19 | 20 | |
| 20 | 184 |
About Zohar Keidar
Zohar Keidar is a scholar working on Radiology, Nuclear Medicine and Imaging, Emergency Medicine and Pulmonary and Respiratory Medicine, having authored 128 papers that have together received 4.5k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (44 papers), Radiomics and Machine Learning in Medical Imaging (24 papers) and Cardiac Imaging and Diagnostics (23 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.3k citations), Pulmonary and Respiratory Medicine (1.3k citations) and Emergency Medicine (379 citations). Zohar Keidar has collaborated with scholars based in Israel, United States and Spain. Frequent co-authors include Ora Israel, Rachel Bar‐Shalom, Alex Frenkel, Diana Gaitini, Samy Nitecki, Luda Guralnik, Abraham Kuten, Yodphat Krausz, Ludmila Guralnik and Ahuva Engel. Their work appears in journals such as Circulation, Journal of Clinical Oncology and Journal of the American College of Cardiology.
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.