Mostafa Jahanifar
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Computer Vision and Pattern Recognition top 10%
- Oncology
- Biophysics top 10%
- Co-authors
- Nasir RajpootShan E Ahmed RazaFayyaz MinhasNavid Alemi KoohbananiSimon GrahamAli GooyaNeda Zamani TajeddinBabak Mohammadzadeh Asl
- Topics
- AI in cancer detection (14 papers)Radiomics and Machine Learning in Medical Imaging (8 papers)Digital Imaging for Blood Diseases (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaBritish Journal of CancerACM Computing Surveys
- Partner nations
- United KingdomEgyptQatar
In The Last Decade
Mostafa Jahanifar
19 papers receiving 373 citations
Peers
Comparison fields: 5 of 52
- Artificial Intelligence 256
- Radiology, Nuclear Medicine and Imaging 177
- Computer Vision and Pattern Recognition 109
- Oncology 87
- Biophysics 45
Countries citing papers authored by Mostafa Jahanifar
This map shows the geographic impact of Mostafa Jahanifar'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 Mostafa Jahanifar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mostafa Jahanifar more than expected).
Fields of papers citing papers by Mostafa Jahanifar
This network shows the impact of papers produced by Mostafa Jahanifar. 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 Mostafa Jahanifar. The network helps show where Mostafa Jahanifar may publish in the future.
Co-authorship network of co-authors of Mostafa Jahanifar
This figure shows the co-authorship network connecting the top 25 collaborators of Mostafa Jahanifar. A scholar is included among the top collaborators of Mostafa Jahanifar 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 Mostafa Jahanifar. Mostafa Jahanifar 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 | 3 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 11 | |
| 6 | 14 | |
| 7 | 20 | |
| 8 | 2 | |
| 9 | 22 | |
| 10 | 11 | |
| 11 | 5 | |
| 12 | 8 | |
| 13 | 4 | |
| 14 | 1 | |
| 15 | 52 | |
| 16 | 75 | |
| 17 | 85 | |
| 18 | 49 | |
| 19 | Segmentation of Lesions in Dermoscopy Images Using Saliency Map And Contour Propagation | 9 |
| 20 | 0 |
About Mostafa Jahanifar
Mostafa Jahanifar is a scholar working on Biophysics, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 20 papers that have together received 376 indexed citations. Recurring topics across this work include AI in cancer detection (14 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Digital Imaging for Blood Diseases (6 papers). The work is most often cited by research in Health Informatics (20 citations), Artificial Intelligence (256 citations) and Biophysics (45 citations). Mostafa Jahanifar has collaborated with scholars based in United Kingdom, Egypt and Qatar. Frequent co-authors include Nasir Rajpoot, Shan E Ahmed Raza, Fayyaz Minhas, Navid Alemi Koohbanani, Simon Graham, Ali Gooya, Neda Zamani Tajeddin, Babak Mohammadzadeh Asl, Quoc Dang Vu and David Snead. Their work appears in journals such as SHILAP Revista de lepidopterología, British Journal of Cancer and ACM Computing Surveys.
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.