Manel Ayadi
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Safety, Risk, Reliability and Quality top 10%
- Information Systems top 10%
- Co-authors
- Amel KsibiBen Othman SoufieneMona JamjoomAmal Al‐RasheedZahid UllahHédi SakliMohammed ZakariahMashael M. Asiri
- Topics
- AI in cancer detection (5 papers)Transportation and Mobility Innovations (4 papers)COVID-19 diagnosis using AI (4 papers)
- Cited by
- Safety, Risk, Reliability and QualityComputer Vision and Pattern RecognitionHealth Informatics
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsIEEE Access
- Partner nations
- Saudi ArabiaIndiaTunisia
In The Last Decade
Manel Ayadi
30 papers receiving 330 citations
Peers
Comparison fields: 5 of 94
- Artificial Intelligence 95
- Computer Vision and Pattern Recognition 81
- Computer Networks and Communications 62
- Safety, Risk, Reliability and Quality 47
- Information Systems 46
Countries citing papers authored by Manel Ayadi
This map shows the geographic impact of Manel Ayadi'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 Manel Ayadi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manel Ayadi more than expected).
Fields of papers citing papers by Manel Ayadi
This network shows the impact of papers produced by Manel Ayadi. 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 Manel Ayadi. The network helps show where Manel Ayadi may publish in the future.
Co-authorship network of co-authors of Manel Ayadi
This figure shows the co-authorship network connecting the top 25 collaborators of Manel Ayadi. A scholar is included among the top collaborators of Manel Ayadi 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 Manel Ayadi. Manel Ayadi 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 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 9 | |
| 8 | 6 | |
| 9 | 2 | |
| 10 | 4 | |
| 11 | 19 | |
| 12 | 17 | |
| 13 | 4 | |
| 14 | 31 | |
| 15 | 8 | |
| 16 | 11 | |
| 17 | 7 | |
| 18 | 20 | |
| 19 | 10 | |
| 20 | 10 |
About Manel Ayadi
Manel Ayadi is a scholar working on General Decision Sciences, Media Technology and Transportation, having authored 34 papers that have together received 354 indexed citations. Recurring topics across this work include AI in cancer detection (5 papers), Transportation and Mobility Innovations (4 papers) and COVID-19 diagnosis using AI (4 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (47 citations), Computer Vision and Pattern Recognition (81 citations) and Health Informatics (5 citations). Manel Ayadi has collaborated with scholars based in Saudi Arabia, India and Tunisia. Frequent co-authors include Amel Ksibi, Ben Othman Soufiene, Mona Jamjoom, Amal Al‐Rasheed, Zahid Ullah, Hédi Sakli, Mohammed Zakariah, Mashael M. Asiri, Monia Hamdi and Nouf Abdullah Almujally. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.
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.