Javad Rahebi
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 5%
- Ophthalmology top 5%
- Co-authors
- Fırat HardalaçYasa EkşioğluAli FarzamniaJosé Manuel López-GuedeAybaba HançerlioğullarıJorge MunillaMondher FrikhaSudipta Roy
- Topics
- Retinal Imaging and Analysis (10 papers)Network Security and Intrusion Detection (9 papers)Digital Imaging for Blood Diseases (8 papers)
In The Last Decade
Javad Rahebi
65 papers receiving 708 citations
Peers
Comparison fields: 5 of 98
- Artificial Intelligence 197
- Radiology, Nuclear Medicine and Imaging 188
- Electrical and Electronic Engineering 188
- Computer Vision and Pattern Recognition 186
- Ophthalmology 110
Countries citing papers authored by Javad Rahebi
This map shows the geographic impact of Javad Rahebi'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 Javad Rahebi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javad Rahebi more than expected).
Fields of papers citing papers by Javad Rahebi
This network shows the impact of papers produced by Javad Rahebi. 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 Javad Rahebi. The network helps show where Javad Rahebi may publish in the future.
Co-authorship network of co-authors of Javad Rahebi
This figure shows the co-authorship network connecting the top 25 collaborators of Javad Rahebi. A scholar is included among the top collaborators of Javad Rahebi 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 Javad Rahebi. Javad Rahebi 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 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 19 | |
| 8 | 8 | |
| 9 | 13 | |
| 10 | 4 | |
| 11 | 7 | |
| 12 | 9 | |
| 13 | 42 | |
| 14 | 35 | |
| 15 | 26 | |
| 16 | 28 | |
| 17 | Human Identification with Palm Print Based on Local Binary Pattern | 3 |
| 18 | 9 | |
| 19 | 46 | |
| 20 | Diffuse Objects Extraction in Coronal Holes Using Active Contour Means Model | 2 |
About Javad Rahebi
Javad Rahebi is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Control and Systems Engineering, having authored 75 papers that have together received 759 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (10 papers), Network Security and Intrusion Detection (9 papers) and Digital Imaging for Blood Diseases (8 papers). The work is most often cited by research in Ophthalmology (110 citations), Computer Vision and Pattern Recognition (186 citations) and Radiology, Nuclear Medicine and Imaging (188 citations). Javad Rahebi has collaborated with scholars based in Türkiye, Spain and Malaysia. Frequent co-authors include Fırat Hardalaç, Yasa Ekşioğlu, Ali Farzamnia, José Manuel López-Guede, Aybaba Hançerlioğulları, Jorge Munilla, Mondher Frikha, Sudipta Roy, Manas K. Haldar and Zıyodulla Yusupov. Their work appears in journals such as Scientific Reports, IEEE Access and Energies.
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.