Nasrin Ahmadinejad
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- Radiomics and Machine Learning in Medical Imaging 14
- MRI in cancer diagnosis 12
- Infrared Thermography in Medicine 6
- Artificial Intelligence top 10%
- AI in cancer detection 18
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- Endometrial and Cervical Cancer Treatments 5
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- Breast Lesions and Carcinomas 9
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- Digital Radiography and Breast Imaging 6
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- Global Cancer Incidence and Screening 5
- Co-authors
- Hamid BehnamShahriar B. ShokouhiAli MahloojifarAzin NahvijouMarjan GhazisaeediRamesh OmranipourHossein Ghayoumi ZadehAfsaneh Alikhassi
- Journals
- SHILAP Revista de lepidopterología (6 papers)Medical Physics (1 paper)Computers in Biology and Medicine (1 paper)
- Partner nations
- IranUnited KingdomIndia
In The Last Decade
Nasrin Ahmadinejad
44 papers receiving 355 citations
Peers
Comparison fields: 5 of 70
- Radiology, Nuclear Medicine and Imaging 215
- Health Informatics 8
- Artificial Intelligence 147
- Computer Vision and Pattern Recognition 67
- Obstetrics and Gynecology 19
Countries citing papers authored by Nasrin Ahmadinejad
This map shows the geographic impact of Nasrin Ahmadinejad'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 Nasrin Ahmadinejad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nasrin Ahmadinejad more than expected).
Fields of papers citing papers by Nasrin Ahmadinejad
This network shows the impact of papers produced by Nasrin Ahmadinejad. 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 Nasrin Ahmadinejad. The network helps show where Nasrin Ahmadinejad may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nasrin Ahmadinejad, 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 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 6 | |
| 8 | 2022 | 8 | |
| 9 | 2022 | 2 | |
| 10 | 2021 | 2 | |
| 11 | 2021 | 16 | |
| 12 | 2019 | 0 | |
| 13 | Following a patient with breast cysts using thermal imaging: case report | 2018 | 1 |
| 14 | Breast cancer diagnosis by thermal imaging in the fields of medical and artificial intelligence sciences: review article | 2016 | 3 |
| 15 | 2015 | 2 | |
| 16 | EVALUATING THE CAPABILITY OF THERMAL IMAGING SYSTEM IN IDENTIFYING SOME OF THE BREAST TISSUE DISEASES | 2015 | 1 |
| 17 | 2014 | 7 | |
| 18 | 2010 | 50 | |
| 19 | 2010 | 7 | |
| 20 | Pathological findings of spinal MRI in patients with Lumbosacral Transitional Vertebra. | 2009 | 1 |
About Nasrin Ahmadinejad
Nasrin Ahmadinejad is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics and Obstetrics and Gynecology, having authored 47 papers that have together received 367 indexed citations. Recurring topics across this work include AI in cancer detection (18 papers), Radiomics and Machine Learning in Medical Imaging (14 papers), MRI in cancer diagnosis (12 papers), Breast Lesions and Carcinomas (9 papers), Infrared Thermography in Medicine (6 papers), Digital Radiography and Breast Imaging (6 papers), Global Cancer Incidence and Screening (5 papers) and Endometrial and Cervical Cancer Treatments (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (215 citations), Health Informatics (8 citations) and Artificial Intelligence (147 citations). Nasrin Ahmadinejad has collaborated with scholars based in Iran, United Kingdom and India. Frequent co-authors include Hamid Behnam, Shahriar B. Shokouhi, Ali Mahloojifar, Azin Nahvijou, Marjan Ghazisaeedi, Ramesh Omranipour, Hossein Ghayoumi Zadeh, Afsaneh Alikhassi, Alejandro F. Frangi and Javad Haddadnia. Their work appears in journals such as SHILAP Revista de lepidopterología, Medical Physics and Computers in Biology and Medicine.
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.