Hanane Allioui
Impact in
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- Brain Tumor Detection and Classification
Papers in
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- AI in cancer detection 2
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- Medical Image Segmentation Techniques 3
- Co-authors
- Youssef Mourdi (5 shared papers)Mohamed Sadgal (11 shared papers)Abdelaziz El Fazziki (9 shared papers)Karrar Hameed Abdulkareem (1 shared paper)Begonya García-Zapirain (1 shared paper)Robertas Damaševičius (1 shared paper)Rytis Maskeliūnas (1 shared paper)Mazin Abed Mohammed (1 shared paper)
In The Last Decade
Hanane Allioui
16 papers receiving 351 citations
Hanane Allioui's Hit Papers
Peers
Comparison fields: 5 of 96
- Health Informatics 10
- Neurology 46
- Management Information Systems 45
- Artificial Intelligence 89
- Information Systems 61
Countries citing papers authored by Hanane Allioui
This map shows the geographic impact of Hanane Allioui'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 Hanane Allioui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanane Allioui more than expected).
Fields of papers citing papers by Hanane Allioui
This network shows the impact of papers produced by Hanane Allioui. 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 Hanane Allioui. The network helps show where Hanane Allioui may publish in the future.
Co-authors
The 9 scholars most cited alongside Hanane Allioui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Exploring the Full Potentials of IoT for Better Financial Growth and Stability: A Comprehensive Survey Hit paper breakdown → | 2023 | 238 |
| 2 | 2022 | 60 | |
| 3 | 2019 | 29 | |
| 4 | 2020 | 14 | |
| 5 | 2021 | 14 | |
| 6 | 2022 | 7 | |
| 7 | 2016 | 7 | |
| 8 | 2019 | 6 | |
| 9 | 2022 | 5 | |
| 10 | 2024 | 5 | |
| 11 | 2020 | 3 | |
| 12 | 2020 | 3 | |
| 13 | An Improved Image Segmentation System: A Cooperative Multi-agent Strategy for 2D/3D Medical Images | 2020 | 2 |
| 14 | 2024 | 1 | |
| 15 | 2023 | 1 | |
| 16 | 2020 | 1 |
About Hanane Allioui
Hanane Allioui is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Neurology and Economics and Econometrics, having authored 16 papers that have together received 396 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (3 papers), Medical Image Segmentation Techniques (3 papers), COVID-19 diagnosis using AI (2 papers), AI in cancer detection (2 papers), Mathematical Biology Tumor Growth (2 papers), Online Learning and Analytics (1 paper), Optimization and Search Problems (1 paper) and Advanced Control Systems Optimization (1 paper). The work is most often cited by research in Health Informatics (10 citations), Neurology (46 citations), Management Information Systems (45 citations), Artificial Intelligence (89 citations) and Information Systems (61 citations). Hanane Allioui has collaborated with scholars based in Morocco, Iraq and Tunisia. Frequent co-authors include Youssef Mourdi, Mohamed Sadgal, Abdelaziz El Fazziki, Karrar Hameed Abdulkareem, Begonya García-Zapirain, Robertas Damaševičius, Rytis Maskeliūnas, Mazin Abed Mohammed and Belal Al‐Khateeb. Their work appears in journals such as Journal of Personalized Medicine, Machine Vision and Applications, Evolutionary Intelligence, Journal of Ambient Intelligence and Humanized Computing and Multimedia Tools and Applications.
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.