Farshid Babapour Mofrad
- Radiology, Nuclear Medicine and Imaging
- Materials Chemistry
- Biomedical Engineering
- Computer Vision and Pattern Recognition top 10%
- Radiation top 10%
- Co-authors
- Dariush SardariAli AbbaspourMajid PouladianSaeed ShokriShahram AkhlaghpoorYoshinobu SatoReza A. ZoroofiMahdi Sadeghi
- Topics
- Medical Image Segmentation Techniques (16 papers)AI in cancer detection (8 papers)Image Retrieval and Classification Techniques (7 papers)
In The Last Decade
Farshid Babapour Mofrad
41 papers receiving 326 citations
Peers
Comparison fields: 5 of 88
- Radiology, Nuclear Medicine and Imaging 111
- Materials Chemistry 86
- Biomedical Engineering 74
- Computer Vision and Pattern Recognition 72
- Radiation 51
Countries citing papers authored by Farshid Babapour Mofrad
This map shows the geographic impact of Farshid Babapour Mofrad'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 Farshid Babapour Mofrad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Farshid Babapour Mofrad more than expected).
Fields of papers citing papers by Farshid Babapour Mofrad
This network shows the impact of papers produced by Farshid Babapour Mofrad. 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 Farshid Babapour Mofrad. The network helps show where Farshid Babapour Mofrad may publish in the future.
Co-authorship network of co-authors of Farshid Babapour Mofrad
This figure shows the co-authorship network connecting the top 25 collaborators of Farshid Babapour Mofrad. A scholar is included among the top collaborators of Farshid Babapour Mofrad 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 Farshid Babapour Mofrad. Farshid Babapour Mofrad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 7 | |
| 6 | 8 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 5 | |
| 10 | 10 | |
| 11 | 12 | |
| 12 | 2 | |
| 13 | 17 | |
| 14 | 1 | |
| 15 | 6 | |
| 16 | Statistical atlases of human anatomy and computer assisted diagnostic system | 1 |
| 17 | 12 | |
| 18 | Spherical harmonics based 3-D shape modeling for spleen | 1 |
| 19 | A novel automatic liver surface registration method using spherical harmonics (医用画像) | 2 |
| 20 | 71 |
About Farshid Babapour Mofrad
Farshid Babapour Mofrad is a scholar working on Computer Vision and Pattern Recognition, Radiation and Radiology, Nuclear Medicine and Imaging, having authored 45 papers that have together received 337 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (16 papers), AI in cancer detection (8 papers) and Image Retrieval and Classification Techniques (7 papers). The work is most often cited by research in Biophysics (44 citations), Radiation (51 citations) and Radiology, Nuclear Medicine and Imaging (111 citations). Farshid Babapour Mofrad has collaborated with scholars based in Iran, Japan and Australia. Frequent co-authors include Dariush Sardari, Ali Abbaspour, Majid Pouladian, Saeed Shokri, Shahram Akhlaghpoor, Yoshinobu Sato, Reza A. Zoroofi, Mahdi Sadeghi, Shahryar Malekie and Ahmad Shalbaf. Their work appears in journals such as Scientific Reports, International Journal of Radiation Oncology*Biology*Physics and Expert Systems with Applications.
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.