Farzad Khalvati
- Radiology, Nuclear Medicine and Imaging top 1%
- Pulmonary and Respiratory Medicine top 5%
- Artificial Intelligence top 2%
- Biomedical Engineering top 10%
- Oncology top 10%
- Co-authors
- Masoom A. HaiderAlexander WongKhashayar NamdarYucheng ZhangAnastasia OikonomouSteven GallingerPaul J. KaranicolasAndrew Cameron
- Topics
- Radiomics and Machine Learning in Medical Imaging (41 papers)Prostate Cancer Diagnosis and Treatment (16 papers)Medical Image Segmentation Techniques (12 papers)
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingPulmonary and Respiratory Medicine
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsRadiology
- Partner nations
- CanadaGermanyUnited States
In The Last Decade
Farzad Khalvati
82 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 123
- Radiology, Nuclear Medicine and Imaging 1.4k
- Pulmonary and Respiratory Medicine 782
- Artificial Intelligence 482
- Biomedical Engineering 405
- Oncology 392
Countries citing papers authored by Farzad Khalvati
This map shows the geographic impact of Farzad Khalvati'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 Farzad Khalvati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Farzad Khalvati more than expected).
Fields of papers citing papers by Farzad Khalvati
This network shows the impact of papers produced by Farzad Khalvati. 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 Farzad Khalvati. The network helps show where Farzad Khalvati may publish in the future.
Co-authorship network of co-authors of Farzad Khalvati
This figure shows the co-authorship network connecting the top 25 collaborators of Farzad Khalvati. A scholar is included among the top collaborators of Farzad Khalvati 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 Farzad Khalvati. Farzad Khalvati is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 10 | |
| 10 | 8 | |
| 11 | 21 | |
| 12 | 7 | |
| 13 | 3 | |
| 14 | 16 | |
| 15 | 36 | |
| 16 | 28 | |
| 17 | 104 | |
| 18 | 119 | |
| 19 | 129 | |
| 20 | 8 |
About Farzad Khalvati
Farzad Khalvati is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 88 papers that have together received 2.0k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (41 papers), Prostate Cancer Diagnosis and Treatment (16 papers) and Medical Image Segmentation Techniques (12 papers). The work is most often cited by research in Health Informatics (88 citations), Radiology, Nuclear Medicine and Imaging (1.4k citations) and Pulmonary and Respiratory Medicine (782 citations). Farzad Khalvati has collaborated with scholars based in Canada, Germany and United States. Frequent co-authors include Masoom A. Haider, Alexander Wong, Khashayar Namdar, Yucheng Zhang, Anastasia Oikonomou, Alexander Wong, Steven Gallinger, Paul J. Karanicolas, Andrew Cameron and Patrik Rogalla. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Radiology.
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.