Nastaran Enshaei
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition
- Health Informatics top 5%
- Pulmonary and Respiratory Medicine
- Co-authors
- Farnoosh NaderkhaniArash MohammadiKonstantinos N. PlataniotisAnastasia OikonomouParnian AfsharShahin HeidarianMoezedin Javad RafieeSvetlana Yanushkevich
- Topics
- COVID-19 diagnosis using AI (8 papers)Radiomics and Machine Learning in Medical Imaging (5 papers)Machine Fault Diagnosis Techniques (3 papers)
- Partner nations
- CanadaUnited StatesSweden
In The Last Decade
Nastaran Enshaei
12 papers receiving 224 citations
Peers
Comparison fields: 5 of 65
- Radiology, Nuclear Medicine and Imaging 161
- Artificial Intelligence 100
- Computer Vision and Pattern Recognition 33
- Health Informatics 32
- Pulmonary and Respiratory Medicine 28
Countries citing papers authored by Nastaran Enshaei
This map shows the geographic impact of Nastaran Enshaei'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 Nastaran Enshaei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nastaran Enshaei more than expected).
Fields of papers citing papers by Nastaran Enshaei
This network shows the impact of papers produced by Nastaran Enshaei. 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 Nastaran Enshaei. The network helps show where Nastaran Enshaei may publish in the future.
Co-authorship network of co-authors of Nastaran Enshaei
This figure shows the co-authorship network connecting the top 25 collaborators of Nastaran Enshaei. A scholar is included among the top collaborators of Nastaran Enshaei 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 Nastaran Enshaei. Nastaran Enshaei 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 | 4 | |
| 4 | 13 | |
| 5 | 20 | |
| 6 | 1 | |
| 7 | 134 | |
| 8 | 5 | |
| 9 | 12 | |
| 10 | 22 | |
| 11 | 3 | |
| 12 | 12 | |
| 13 | 0 |
About Nastaran Enshaei
Nastaran Enshaei is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Health Information Management, having authored 13 papers that have together received 230 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (8 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Machine Fault Diagnosis Techniques (3 papers). The work is most often cited by research in Health Informatics (32 citations), Radiology, Nuclear Medicine and Imaging (161 citations) and Artificial Intelligence (100 citations). Nastaran Enshaei has collaborated with scholars based in Canada, United States and Sweden. Frequent co-authors include Farnoosh Naderkhani, Arash Mohammadi, Konstantinos N. Plataniotis, Anastasia Oikonomou, Parnian Afshar, Shahin Heidarian, Moezedin Javad Rafiee, Svetlana Yanushkevich, Yingxu Wang and Anjali Awasthi. Their work appears in journals such as PLoS ONE, Scientific Reports and IEEE Signal Processing Magazine.
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.