Ziba Gandomkar
- Radiology, Nuclear Medicine and Imaging top 5%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Oncology
- Pulmonary and Respiratory Medicine
- Co-authors
- Patrick BrennanClaudia Mello‐ThomsSarah LewisTong LiWarren ReedErnest EkpoJeremy M. WolfeKarla K. Evans
- Topics
- AI in cancer detection (48 papers)Radiomics and Machine Learning in Medical Imaging (32 papers)Global Cancer Incidence and Screening (18 papers)
- Journals
- The LancetSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- AustraliaUnited StatesIran
In The Last Decade
Ziba Gandomkar
68 papers receiving 714 citations
Peers
Comparison fields: 5 of 103
- Radiology, Nuclear Medicine and Imaging 405
- Artificial Intelligence 400
- Computer Vision and Pattern Recognition 129
- Oncology 118
- Pulmonary and Respiratory Medicine 108
Countries citing papers authored by Ziba Gandomkar
This map shows the geographic impact of Ziba Gandomkar'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 Ziba Gandomkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ziba Gandomkar more than expected).
Fields of papers citing papers by Ziba Gandomkar
This network shows the impact of papers produced by Ziba Gandomkar. 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 Ziba Gandomkar. The network helps show where Ziba Gandomkar may publish in the future.
Co-authorship network of co-authors of Ziba Gandomkar
This figure shows the co-authorship network connecting the top 25 collaborators of Ziba Gandomkar. A scholar is included among the top collaborators of Ziba Gandomkar 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 Ziba Gandomkar. Ziba Gandomkar 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 | 0 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 45 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | 10 | |
| 12 | 4 | |
| 13 | 3 | |
| 14 | 16 | |
| 15 | 11 | |
| 16 | 5 | |
| 17 | 4 | |
| 18 | 132 | |
| 19 | 10 | |
| 20 | 4 |
About Ziba Gandomkar
Ziba Gandomkar is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 75 papers that have together received 727 indexed citations. Recurring topics across this work include AI in cancer detection (48 papers), Radiomics and Machine Learning in Medical Imaging (32 papers) and Global Cancer Incidence and Screening (18 papers). The work is most often cited by research in Health Informatics (58 citations), Radiology, Nuclear Medicine and Imaging (405 citations) and Artificial Intelligence (400 citations). Ziba Gandomkar has collaborated with scholars based in Australia, United States and Iran. Frequent co-authors include Patrick Brennan, Claudia Mello‐Thoms, Sarah Lewis, Tong Li, Warren Reed, Ernest Ekpo, Jeremy M. Wolfe, Karla K. Evans, Kriscia Tapia and Mark F. McEntee. Their work appears in journals such as The Lancet, SHILAP Revista de lepidopterología and PLoS ONE.
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.