Naama Bogot
- Radiology, Nuclear Medicine and Imaging top 2%
- Pulmonary and Respiratory Medicine top 5%
- Surgery
- Artificial Intelligence top 10%
- Biomedical Engineering
- Co-authors
- Ella A. KazerooniHeang‐Ping ChanPhilip N. CascadeBerkman SahinerLubomir M. HadjiiskiTed W. WayDorith ShahamChuan Zhou
- Topics
- Lung Cancer Diagnosis and Treatment (13 papers)Radiomics and Machine Learning in Medical Imaging (11 papers)Advanced X-ray and CT Imaging (6 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingPulmonary and Respiratory MedicineCritical Care and Intensive Care Medicine
- Journals
- The Journal of Clinical Endocrinology & MetabolismJournal of Bone and Joint SurgeryRadiology
- Partner nations
- IsraelUnited StatesItaly
In The Last Decade
Naama Bogot
45 papers receiving 983 citations
Peers
Comparison fields: 5 of 93
- Radiology, Nuclear Medicine and Imaging 548
- Pulmonary and Respiratory Medicine 515
- Surgery 166
- Artificial Intelligence 144
- Biomedical Engineering 98
Countries citing papers authored by Naama Bogot
This map shows the geographic impact of Naama Bogot'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 Naama Bogot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naama Bogot more than expected).
Fields of papers citing papers by Naama Bogot
This network shows the impact of papers produced by Naama Bogot. 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 Naama Bogot. The network helps show where Naama Bogot may publish in the future.
Co-authorship network of co-authors of Naama Bogot
This figure shows the co-authorship network connecting the top 25 collaborators of Naama Bogot. A scholar is included among the top collaborators of Naama Bogot 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 Naama Bogot. Naama Bogot is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 25 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 2 | |
| 10 | 12 | |
| 11 | 70 | |
| 12 | 21 | |
| 13 | 114 | |
| 14 | 22 | |
| 15 | 174 | |
| 16 | 2 | |
| 17 | 22 | |
| 18 | 63 | |
| 19 | 30 | |
| 20 | 52 |
About Naama Bogot
Naama Bogot is a scholar working on Radiology, Nuclear Medicine and Imaging, Critical Care and Intensive Care Medicine and Pulmonary and Respiratory Medicine, having authored 50 papers that have together received 1.0k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (13 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Advanced X-ray and CT Imaging (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (548 citations), Pulmonary and Respiratory Medicine (515 citations) and Critical Care and Intensive Care Medicine (42 citations). Naama Bogot has collaborated with scholars based in Israel, United States and Italy. Frequent co-authors include Ella A. Kazerooni, Heang‐Ping Chan, Philip N. Cascade, Berkman Sahiner, Lubomir M. Hadjiiski, Ted W. Way, Dorith Shaham, Chuan Zhou, Aamer Chughtai and Orit Pappo. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Bone and Joint Surgery and 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.