Mehdi Moradi
- Radiology, Nuclear Medicine and Imaging top 2%
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Biomedical Engineering
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Tanveer Syeda-MahmoodAlexandros KarargyrisParvin MousaviPurang AbolmaesumiAli MadaniSeyed Kamaledin SetarehdanKen C. L. WongAnant Madabhushi
- Topics
- AI in cancer detection (17 papers)Radiomics and Machine Learning in Medical Imaging (15 papers)Medical Image Segmentation Techniques (12 papers)
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Medical ImagingMedical Physics
- Partner nations
- United StatesCanadaIran
In The Last Decade
Mehdi Moradi
58 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 122
- Radiology, Nuclear Medicine and Imaging 673
- Artificial Intelligence 503
- Computer Vision and Pattern Recognition 414
- Biomedical Engineering 239
- Pulmonary and Respiratory Medicine 205
Countries citing papers authored by Mehdi Moradi
This map shows the geographic impact of Mehdi Moradi'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 Mehdi Moradi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mehdi Moradi more than expected).
Fields of papers citing papers by Mehdi Moradi
This network shows the impact of papers produced by Mehdi Moradi. 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 Mehdi Moradi. The network helps show where Mehdi Moradi may publish in the future.
Co-authorship network of co-authors of Mehdi Moradi
This figure shows the co-authorship network connecting the top 25 collaborators of Mehdi Moradi. A scholar is included among the top collaborators of Mehdi Moradi 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 Mehdi Moradi. Mehdi Moradi 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 | 12 | |
| 3 | 29 | |
| 4 | AI Accelerated Human-in-the-loop Structuring of Radiology Reports. | 8 |
| 5 | 1 | |
| 6 | 9 | |
| 7 | 102 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 13 | |
| 11 | 9 | |
| 12 | 2 | |
| 13 | 3 | |
| 14 | 90 | |
| 15 | 42 | |
| 16 | 6 | |
| 17 | 1 | |
| 18 | A New paradigm for Ultrasound-Based Tissue Typing in Prostate Cancer | 2 |
| 19 | 51 | |
| 20 | 25 |
About Mehdi Moradi
Mehdi Moradi is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 59 papers that have together received 1.3k indexed citations. Recurring topics across this work include AI in cancer detection (17 papers), Radiomics and Machine Learning in Medical Imaging (15 papers) and Medical Image Segmentation Techniques (12 papers). The work is most often cited by research in Health Informatics (108 citations), Radiology, Nuclear Medicine and Imaging (673 citations) and Computer Vision and Pattern Recognition (414 citations). Mehdi Moradi has collaborated with scholars based in United States, Canada and Iran. Frequent co-authors include Tanveer Syeda-Mahmood, Alexandros Karargyris, Parvin Mousavi, Purang Abolmaesumi, Ali Madani, Seyed Kamaledin Setarehdan, Ken C. L. Wong, Anant Madabhushi, Septimiu E. Salcudean and Z. Jane Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Medical Imaging and Medical Physics.
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.