Julien Abinahed
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering top 10%
- Surgery
- Radiology, Nuclear Medicine and Imaging top 5%
- Artificial Intelligence top 10%
- Co-authors
- Sarada Prasad DakuaAbdulla Al‐AnsariShidin BalakrishnanMohammed Yusuf AnsariNikhil V. NavkarJean‐Marc PeyratRafeef AbugharbiehXiaojun Zhai
- Topics
- Surgical Simulation and Training (15 papers)Medical Image Segmentation Techniques (11 papers)Augmented Reality Applications (7 papers)
- Cited by
- Health InformaticsComputer Vision and Pattern RecognitionRadiology, Nuclear Medicine and Imaging
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsIEEE Transactions on Medical Imaging
- Partner nations
- QatarUnited StatesCanada
In The Last Decade
Julien Abinahed
49 papers receiving 949 citations
Peers
Comparison fields: 5 of 113
- Computer Vision and Pattern Recognition 356
- Biomedical Engineering 303
- Surgery 273
- Radiology, Nuclear Medicine and Imaging 257
- Artificial Intelligence 156
Countries citing papers authored by Julien Abinahed
This map shows the geographic impact of Julien Abinahed'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 Julien Abinahed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julien Abinahed more than expected).
Fields of papers citing papers by Julien Abinahed
This network shows the impact of papers produced by Julien Abinahed. 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 Julien Abinahed. The network helps show where Julien Abinahed may publish in the future.
Co-authorship network of co-authors of Julien Abinahed
This figure shows the co-authorship network connecting the top 25 collaborators of Julien Abinahed. A scholar is included among the top collaborators of Julien Abinahed 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 Julien Abinahed. Julien Abinahed 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 | 0 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 42 | |
| 6 | 14 | |
| 7 | 1 | |
| 8 | 92 | |
| 9 | 8 | |
| 10 | 72 | |
| 11 | 1 | |
| 12 | 6 | |
| 13 | 8 | |
| 14 | 24 | |
| 15 | 25 | |
| 16 | 35 | |
| 17 | 28 | |
| 18 | 18 | |
| 19 | 3 | |
| 20 | 30 |
About Julien Abinahed
Julien Abinahed is a scholar working on Computer Vision and Pattern Recognition, Surgery and Computer Graphics and Computer-Aided Design, having authored 51 papers that have together received 967 indexed citations. Recurring topics across this work include Surgical Simulation and Training (15 papers), Medical Image Segmentation Techniques (11 papers) and Augmented Reality Applications (7 papers). The work is most often cited by research in Health Informatics (24 citations), Computer Vision and Pattern Recognition (356 citations) and Radiology, Nuclear Medicine and Imaging (257 citations). Julien Abinahed has collaborated with scholars based in Qatar, United States and Canada. Frequent co-authors include Sarada Prasad Dakua, Abdulla Al‐Ansari, Shidin Balakrishnan, Mohammed Yusuf Ansari, Nikhil V. Navkar, Jean‐Marc Peyrat, Rafeef Abugharbieh, Xiaojun Zhai, Fayçal Bensaali and Abbes Amira. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Medical Imaging.
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.