Nabile Safdar
- Health Informatics top 0.1%
- Artificial Intelligence in Healthcare and Education 17
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- Radiology practices and education 27
- Radiation Dose and Imaging 13
- Radiomics and Machine Learning in Medical Imaging 12
- Emergency Medicine top 5%
- Family Practice top 10%
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- Digital Radiography and Breast Imaging 8
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- Pediatric Urology and Nephrology Studies 7
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- Digital Imaging in Medicine 6
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- Medical Image Segmentation Techniques 5
- Co-authors
- John D. BanjaJudy Wawira GichoyaCarolyn C. MeltzerMarius George LinguraruAdam PraterHari TrivediTessa S. CookCarlos S. Mendoza
- Journals
- Radiology (1 paper)The Journal of Urology (1 paper)IEEE Transactions on Medical Imaging (2 papers)
- Partner nations
- United StatesCanadaSpain
In The Last Decade
Nabile Safdar
73 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 138
- Health Informatics 583
- Radiology, Nuclear Medicine and Imaging 777
- Emergency Medicine 123
- Family Practice 27
- Critical Care and Intensive Care Medicine 52
Countries citing papers authored by Nabile Safdar
This map shows the geographic impact of Nabile Safdar'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 Nabile Safdar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nabile Safdar more than expected).
Fields of papers citing papers by Nabile Safdar
This network shows the impact of papers produced by Nabile Safdar. 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 Nabile Safdar. The network helps show where Nabile Safdar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nabile Safdar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 6 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 113 | |
| 5 | 2023 | 6 | |
| 6 | 2022 | 29 | |
| 7 | 2022 | 13 | |
| 8 | 2022 | 1 | |
| 9 | 2020 | 54 | |
| 10 | 2020 | 3 | |
| 11 | 2019 | 54 | |
| 12 | 2019 | 206 | |
| 13 | 2019 | 137 | |
| 14 | 2018 | 15 | |
| 15 | 2015 | 8 | |
| 16 | An optimal set of landmarks for metopic craniosynostosis diagnosis from shape analysis of pediatric CT scans of the head | 2013 | 2 |
| 17 | 2013 | 16 | |
| 18 | 2012 | 3 | |
| 19 | 2011 | 3 | |
| 20 | 2011 | 14 |
About Nabile Safdar
Nabile Safdar is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Critical Care and Intensive Care Medicine, having authored 78 papers that have together received 1.7k indexed citations. Recurring topics across this work include Radiology practices and education (27 papers), Artificial Intelligence in Healthcare and Education (17 papers), Radiation Dose and Imaging (13 papers), Radiomics and Machine Learning in Medical Imaging (12 papers), Digital Radiography and Breast Imaging (8 papers), Pediatric Urology and Nephrology Studies (7 papers), Digital Imaging in Medicine (6 papers) and Medical Image Segmentation Techniques (5 papers). The work is most often cited by research in Health Informatics (583 citations), Radiology, Nuclear Medicine and Imaging (777 citations) and Emergency Medicine (123 citations). Nabile Safdar has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include John D. Banja, Judy Wawira Gichoya, Carolyn C. Meltzer, Marius George Linguraru, Adam Prater, Hari Trivedi, Tessa S. Cook, Carlos S. Mendoza, Matthew B. Morgan and William Shields. Their work appears in journals such as Radiology, The Journal of Urology and IEEE Transactions on Medical Imaging.
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.