Fred Nugen
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Radiology practices and education
Papers in
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- Artificial Intelligence in Healthcare and Education 4
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- Medical Imaging and Analysis 3
- Anatomy and Medical Technology 1
- Advanced X-ray and CT Imaging 1
- Co-authors
- Bradley J. Erickson (6 shared papers)Bardia Khosravi (5 shared papers)Mana Moassefi (2 shared papers)Yashbir Singh (2 shared papers)Pouria Rouzrokh (2 shared papers)Shahriar Faghani (2 shared papers)Jaidip Jagtap (2 shared papers)Seyed Moein Rassoulinejad-Mousavi (2 shared papers)
- Journals
- The Journal of Arthroplasty (4 papers)Radiology Artificial Intelligence (2 papers)Experimental Eye Research (1 paper)Pancreatology (1 paper)Investigative Ophthalmology & Visual Science (1 paper)
- Partner nations
- United StatesEgyptKenya
In The Last Decade
Fred Nugen
10 papers receiving 186 citations
Peers
Comparison fields: 5 of 62
- Health Informatics 71
- Radiology, Nuclear Medicine and Imaging 76
- Family Practice 4
- Neurology 9
- Health Information Management 5
Countries citing papers authored by Fred Nugen
This map shows the geographic impact of Fred Nugen'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 Fred Nugen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fred Nugen more than expected).
Fields of papers citing papers by Fred Nugen
This network shows the impact of papers produced by Fred Nugen. 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 Fred Nugen. The network helps show where Fred Nugen may publish in the future.
Co-authors
The 25 scholars most cited alongside Fred Nugen, 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 | 2022 | 66 | |
| 2 | 2022 | 61 | |
| 3 | 2023 | 18 | |
| 4 | 2023 | 15 | |
| 5 | 2023 | 8 | |
| 6 | 2023 | 6 | |
| 7 | 2024 | 5 | |
| 8 | 2023 | 5 | |
| 9 | 2023 | 3 | |
| 10 | 2024 | 1 |
About Fred Nugen
Fred Nugen is a scholar working on Health Informatics, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Surgery and Ophthalmology, having authored 10 papers that have together received 188 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (4 papers), Medical Imaging and Analysis (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Glaucoma and retinal disorders (2 papers), Ophthalmology and Visual Impairment Studies (1 paper), Artificial Intelligence in Healthcare (1 paper), Anatomy and Medical Technology (1 paper) and Advanced X-ray and CT Imaging (1 paper). The work is most often cited by research in Health Informatics (71 citations), Radiology, Nuclear Medicine and Imaging (76 citations), Family Practice (4 citations), Neurology (9 citations) and Health Information Management (5 citations). Fred Nugen has collaborated with scholars based in United States, Egypt and Kenya. Frequent co-authors include Bradley J. Erickson, Bardia Khosravi, Mana Moassefi, Yashbir Singh, Pouria Rouzrokh, Shahriar Faghani, Jaidip Jagtap, Seyed Moein Rassoulinejad-Mousavi, Diana V. Vera-Garcia and Shiba Kuanar. Their work appears in journals such as The Journal of Arthroplasty, Radiology Artificial Intelligence, Experimental Eye Research, Pancreatology and Investigative Ophthalmology & Visual Science.
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.