Shadi Ebrahimian
- Radiology, Nuclear Medicine and Imaging top 5%
- Biomedical Engineering
- Pulmonary and Respiratory Medicine
- Health Informatics top 1%
- Pathology and Forensic Medicine
- Co-authors
- Mannudeep K. KalraBernardo C. BizzoKeith J. DreyerSubba R. DigumarthyFatemeh HomayouniehAndrew N. PrimakFarzaneh AshrafiArdeshir Talebi
- Topics
- Advanced X-ray and CT Imaging (12 papers)Radiomics and Machine Learning in Medical Imaging (11 papers)Radiation Dose and Imaging (10 papers)
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingCritical Care and Intensive Care Medicine
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- United StatesIranGermany
In The Last Decade
Shadi Ebrahimian
45 papers receiving 635 citations
Peers
Comparison fields: 5 of 97
- Radiology, Nuclear Medicine and Imaging 302
- Biomedical Engineering 117
- Pulmonary and Respiratory Medicine 113
- Health Informatics 99
- Pathology and Forensic Medicine 81
Countries citing papers authored by Shadi Ebrahimian
This map shows the geographic impact of Shadi Ebrahimian'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 Shadi Ebrahimian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shadi Ebrahimian more than expected).
Fields of papers citing papers by Shadi Ebrahimian
This network shows the impact of papers produced by Shadi Ebrahimian. 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 Shadi Ebrahimian. The network helps show where Shadi Ebrahimian may publish in the future.
Co-authorship network of co-authors of Shadi Ebrahimian
This figure shows the co-authorship network connecting the top 25 collaborators of Shadi Ebrahimian. A scholar is included among the top collaborators of Shadi Ebrahimian 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 Shadi Ebrahimian. Shadi Ebrahimian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 13 | |
| 3 | 6 | |
| 4 | 9 | |
| 5 | 2 | |
| 6 | 21 | |
| 7 | 30 | |
| 8 | 9 | |
| 9 | 1 | |
| 10 | 81 | |
| 11 | 9 | |
| 12 | 0 | |
| 13 | 6 | |
| 14 | 3 | |
| 15 | 42 | |
| 16 | 3 | |
| 17 | 8 | |
| 18 | 4 | |
| 19 | 27 | |
| 20 | Some evidence for sex-based differences in cisplatin-induced nephrotoxicity in rats | 14 |
About Shadi Ebrahimian
Shadi Ebrahimian is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Internal Medicine, having authored 47 papers that have together received 650 indexed citations. Recurring topics across this work include Advanced X-ray and CT Imaging (12 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Radiation Dose and Imaging (10 papers). The work is most often cited by research in Health Informatics (99 citations), Radiology, Nuclear Medicine and Imaging (302 citations) and Critical Care and Intensive Care Medicine (34 citations). Shadi Ebrahimian has collaborated with scholars based in United States, Iran and Germany. Frequent co-authors include Mannudeep K. Kalra, Bernardo C. Bizzo, Keith J. Dreyer, Subba R. Digumarthy, Fatemeh Homayounieh, Andrew N. Primak, Farzaneh Ashrafi, Ardeshir Talebi, Mehdi Nematbakhsh and Fatemeh Eshraghi-Jazi. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.