Rasoul Khayati
- Computer Vision and Pattern Recognition top 5%
- Neurology top 5%
- Radiology, Nuclear Medicine and Imaging
- Pathology and Forensic Medicine
- Artificial Intelligence
- Co-authors
- Seyed Massood NabaviMansur VafadustFarzad TowhidkhahAntonio PeñalverMohammad MikaeiliPeyman Ghobadi‐AzbariHamed EkhtiariAsif Jamil
- Topics
- Multiple Sclerosis Research Studies (8 papers)Medical Image Segmentation Techniques (6 papers)Brain Tumor Detection and Classification (5 papers)
- Journals
- PLoS ONEFrontiers in Human NeuroscienceProgress in Neuro-Psychopharmacology and Biological Psychiatry
- Partner nations
- IranSpainUnited States
In The Last Decade
Rasoul Khayati
21 papers receiving 355 citations
Peers
Comparison fields: 5 of 66
- Computer Vision and Pattern Recognition 175
- Neurology 148
- Radiology, Nuclear Medicine and Imaging 103
- Pathology and Forensic Medicine 75
- Artificial Intelligence 56
Countries citing papers authored by Rasoul Khayati
This map shows the geographic impact of Rasoul Khayati'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 Rasoul Khayati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rasoul Khayati more than expected).
Fields of papers citing papers by Rasoul Khayati
This network shows the impact of papers produced by Rasoul Khayati. 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 Rasoul Khayati. The network helps show where Rasoul Khayati may publish in the future.
Co-authorship network of co-authors of Rasoul Khayati
This figure shows the co-authorship network connecting the top 25 collaborators of Rasoul Khayati. A scholar is included among the top collaborators of Rasoul Khayati 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 Rasoul Khayati. Rasoul Khayati 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 | 3 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 25 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 6 | |
| 11 | 7 | |
| 12 | 2 | |
| 13 | 6 | |
| 14 | 36 | |
| 15 | Segmentation of MS lesions using Active Contour Model, Adaptive Mixtures Method and MRF model | 3 |
| 16 | 65 | |
| 17 | 10 | |
| 18 | 21 | |
| 19 | 125 | |
| 20 | 43 |
About Rasoul Khayati
Rasoul Khayati is a scholar working on Neurology, Pathology and Forensic Medicine and Computer Vision and Pattern Recognition, having authored 22 papers that have together received 373 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (8 papers), Medical Image Segmentation Techniques (6 papers) and Brain Tumor Detection and Classification (5 papers). The work is most often cited by research in Neurology (148 citations), Computer Vision and Pattern Recognition (175 citations) and Media Technology (44 citations). Rasoul Khayati has collaborated with scholars based in Iran, Spain and United States. Frequent co-authors include Seyed Massood Nabavi, Mansur Vafadust, Farzad Towhidkhah, Antonio Peñalver, Mohammad Mikaeili, Peyman Ghobadi‐Azbari, Hamed Ekhtiari, Asif Jamil, Zeinab Esmaeilpour and A. Duke Shereen. Their work appears in journals such as PLoS ONE, Frontiers in Human Neuroscience and Progress in Neuro-Psychopharmacology and Biological Psychiatry.
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.