Sanaz Karimijafarbigloo
- Computer Vision and Pattern Recognition top 10%
- Radiology, Nuclear Medicine and Imaging
- Artificial Intelligence
- Neurology
- Biomedical Engineering
- Co-authors
- Dorit MerhofReza AzadAtlas Haddadi AvvalAmelie RaulandAfshin BozorgpourJoseph CohenEhsan Khodapanah AghdamEhsan Adeli
- Topics
- Radiomics and Machine Learning in Medical Imaging (3 papers)AI in cancer detection (3 papers)Advanced Neural Network Applications (2 papers)
- Partner nations
- GermanyUnited StatesIran
In The Last Decade
Sanaz Karimijafarbigloo
5 papers receiving 239 citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Computer Vision and Pattern Recognition 94
- Radiology, Nuclear Medicine and Imaging 71
- Artificial Intelligence 58
- Neurology 46
- Biomedical Engineering 45
Countries citing papers authored by Sanaz Karimijafarbigloo
This map shows the geographic impact of Sanaz Karimijafarbigloo'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 Sanaz Karimijafarbigloo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanaz Karimijafarbigloo more than expected).
Fields of papers citing papers by Sanaz Karimijafarbigloo
This network shows the impact of papers produced by Sanaz Karimijafarbigloo. 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 Sanaz Karimijafarbigloo. The network helps show where Sanaz Karimijafarbigloo may publish in the future.
Co-authorship network of co-authors of Sanaz Karimijafarbigloo
This figure shows the co-authorship network connecting the top 25 collaborators of Sanaz Karimijafarbigloo. A scholar is included among the top collaborators of Sanaz Karimijafarbigloo 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 Sanaz Karimijafarbigloo. Sanaz Karimijafarbigloo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Medical Image Segmentation Review: The Success of U-Netbreakdown → | 231 |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 15 |
About Sanaz Karimijafarbigloo
Sanaz Karimijafarbigloo is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Radiology, Nuclear Medicine and Imaging, having authored 5 papers that have together received 252 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (3 papers), AI in cancer detection (3 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Neurology (46 citations), Computer Vision and Pattern Recognition (94 citations) and Radiology, Nuclear Medicine and Imaging (71 citations). Sanaz Karimijafarbigloo has collaborated with scholars based in Germany, United States and Iran. Frequent co-authors include Dorit Merhof, Reza Azad, Atlas Haddadi Avval, Amelie Rauland, Afshin Bozorgpour, Joseph Cohen, Ehsan Khodapanah Aghdam, Ehsan Adeli, Dirk Roggenbuck and Stefan Rödiger. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Biomedicines and PubMed.
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.