Fereshteh Sadeghi
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Control and Systems Engineering
- Biomedical Engineering
- Aerospace Engineering
- Co-authors
- Ali FarhadiHamid IzadiniaSantosh DivvalaEric JangAlexander ToshevSergey LevineBaoyuan LiuOhad Shamir
- Topics
- Advanced Image and Video Retrieval Techniques (5 papers)Multimodal Machine Learning Applications (4 papers)Influenza Virus Research Studies (2 papers)
- Partner nations
- IranUnited StatesUnited Kingdom
In The Last Decade
Fereshteh Sadeghi
18 papers receiving 275 citations
Peers
Comparison fields: 5 of 65
- Computer Vision and Pattern Recognition 188
- Artificial Intelligence 121
- Control and Systems Engineering 47
- Biomedical Engineering 26
- Aerospace Engineering 25
Countries citing papers authored by Fereshteh Sadeghi
This map shows the geographic impact of Fereshteh Sadeghi'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 Fereshteh Sadeghi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fereshteh Sadeghi more than expected).
Fields of papers citing papers by Fereshteh Sadeghi
This network shows the impact of papers produced by Fereshteh Sadeghi. 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 Fereshteh Sadeghi. The network helps show where Fereshteh Sadeghi may publish in the future.
Co-authorship network of co-authors of Fereshteh Sadeghi
This figure shows the co-authorship network connecting the top 25 collaborators of Fereshteh Sadeghi. A scholar is included among the top collaborators of Fereshteh Sadeghi 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 Fereshteh Sadeghi. Fereshteh Sadeghi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 28 | |
| 4 | 4 | |
| 5 | 60 | |
| 6 | 44 | |
| 7 | 9 | |
| 8 | 16 | |
| 9 | 15 | |
| 10 | 31 | |
| 11 | Assessment of auditory verbal memory / learning performance in 9 to 11 year old children | 1 |
| 12 | Comparison of Quality of Life of School-age Children with Congenital Heart Disease as Perceived by Children and their Parents | 4 |
| 13 | 43 | |
| 14 | 6 | |
| 15 | 10 | |
| 16 | 5 | |
| 17 | 2 | |
| 18 | 4 | |
| 19 | 1 |
About Fereshteh Sadeghi
Fereshteh Sadeghi is a scholar working on Computer Vision and Pattern Recognition, Speech and Hearing and Emergency Medical Services, having authored 19 papers that have together received 285 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (5 papers), Multimodal Machine Learning Applications (4 papers) and Influenza Virus Research Studies (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (188 citations), Artificial Intelligence (121 citations) and Media Technology (20 citations). Fereshteh Sadeghi has collaborated with scholars based in Iran, United States and United Kingdom. Frequent co-authors include Ali Farhadi, Hamid Izadinia, Santosh Divvala, Eric Jang, Alexander Toshev, Sergey Levine, Baoyuan Liu, Ohad Shamir, Ce Liu and Marshall F. Tappen. Their work appears in journals such as BMC Public Health, Neural Networks and Pattern Recognition Letters.
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.