Aliasghar Mortazi
- Artificial Intelligence
- Radiology, Nuclear Medicine and Imaging
- Pulmonary and Respiratory Medicine
- Biomedical Engineering
- Health Informatics top 10%
- Co-authors
- Ulaş BağcıJeremy R. BurtSarfaraz HusseinNaji KhosravanVedat ÇiçekElif KeleşYubing TongDrew A. Torigian
- Topics
- Radiomics and Machine Learning in Medical Imaging (2 papers)Medical Imaging Techniques and Applications (2 papers)COVID-19 diagnosis using AI (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaBritish Journal of RadiologyJournal of International Crisis and Risk Communication Research
- Partner nations
- United StatesIranTürkiye
In The Last Decade
Aliasghar Mortazi
5 papers receiving 130 citations
Peers
Comparison fields: 5 of 49
- Artificial Intelligence 86
- Radiology, Nuclear Medicine and Imaging 81
- Pulmonary and Respiratory Medicine 21
- Biomedical Engineering 20
- Health Informatics 19
Countries citing papers authored by Aliasghar Mortazi
This map shows the geographic impact of Aliasghar Mortazi'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 Aliasghar Mortazi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aliasghar Mortazi more than expected).
Fields of papers citing papers by Aliasghar Mortazi
This network shows the impact of papers produced by Aliasghar Mortazi. 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 Aliasghar Mortazi. The network helps show where Aliasghar Mortazi may publish in the future.
Co-authorship network of co-authors of Aliasghar Mortazi
This figure shows the co-authorship network connecting the top 25 collaborators of Aliasghar Mortazi. A scholar is included among the top collaborators of Aliasghar Mortazi 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 Aliasghar Mortazi. Aliasghar Mortazi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | Optimization Algorithms for Deep Learning Based Medical Image Segmentations | 4 |
| 5 | 120 | |
| 6 | 0 |
About Aliasghar Mortazi
Aliasghar Mortazi is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Computer Vision and Pattern Recognition, having authored 6 papers that have together received 136 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (2 papers), Medical Imaging Techniques and Applications (2 papers) and COVID-19 diagnosis using AI (2 papers). The work is most often cited by research in Health Informatics (19 citations), Radiology, Nuclear Medicine and Imaging (81 citations) and Artificial Intelligence (86 citations). Aliasghar Mortazi has collaborated with scholars based in United States, Iran and Türkiye. Frequent co-authors include Ulaş Bağcı, Jeremy R. Burt, Sarfaraz Hussein, Naji Khosravan, Vedat Çiçek, Elif Keleş, Yubing Tong, Drew A. Torigian, Saeed Bagheri Shouraki and Jayaram K. Udupa. Their work appears in journals such as SHILAP Revista de lepidopterología, British Journal of Radiology and Journal of International Crisis and Risk Communication Research.
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.