Najib Ben Aoun
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Radiology, Nuclear Medicine and Imaging
- Neurology
- Biomedical Engineering
- Co-authors
- Chokri Ben AmarMahmoud MejdoubHaytham ElghazelAlexandre BenoîtRidha EjbaliPatrick LambertMourad ZaiedAmel Ali Alhussan
- Topics
- Advanced Neural Network Applications (7 papers)Advanced Image and Video Retrieval Techniques (6 papers)Brain Tumor Detection and Classification (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessInformation Sciences
- Partner nations
- TunisiaSaudi ArabiaPakistan
In The Last Decade
Najib Ben Aoun
26 papers receiving 222 citations
Peers
Comparison fields: 5 of 63
- Computer Vision and Pattern Recognition 126
- Artificial Intelligence 77
- Radiology, Nuclear Medicine and Imaging 30
- Neurology 27
- Biomedical Engineering 19
Countries citing papers authored by Najib Ben Aoun
This map shows the geographic impact of Najib Ben Aoun'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 Najib Ben Aoun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Najib Ben Aoun more than expected).
Fields of papers citing papers by Najib Ben Aoun
This network shows the impact of papers produced by Najib Ben Aoun. 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 Najib Ben Aoun. The network helps show where Najib Ben Aoun may publish in the future.
Co-authorship network of co-authors of Najib Ben Aoun
This figure shows the co-authorship network connecting the top 25 collaborators of Najib Ben Aoun. A scholar is included among the top collaborators of Najib Ben Aoun 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 Najib Ben Aoun. Najib Ben Aoun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 4 | |
| 6 | 5 | |
| 7 | 9 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 7 | |
| 11 | 2 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 15 | |
| 15 | 1 | |
| 16 | 11 | |
| 17 | 10 | |
| 18 | 14 | |
| 19 | 9 | |
| 20 | 20 |
About Najib Ben Aoun
Najib Ben Aoun is a scholar working on Computer Vision and Pattern Recognition, Neurology and Signal Processing, having authored 27 papers that have together received 230 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (7 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Brain Tumor Detection and Classification (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (126 citations), Neurology (27 citations) and Artificial Intelligence (77 citations). Najib Ben Aoun has collaborated with scholars based in Tunisia, Saudi Arabia and Pakistan. Frequent co-authors include Chokri Ben Amar, Mahmoud Mejdoub, Chokri Ben Amar, Haytham Elghazel, Alexandre Benoît, Ridha Ejbali, Patrick Lambert, Mourad Zaied, Amel Ali Alhussan and Osamah Ibrahim Khalaf. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Information Sciences.
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.