Malika Bendechache
Impact in
- Neurology top 2%
- Brain Tumor Detection and Classification
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- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
Papers in
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- AI in cancer detection 12
- Privacy-Preserving Technologies in Data 6
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- Advanced Neural Network Applications 8
- Co-authors
- Ramin Ranjbarzadeh (23 shared papers)Saeid Jafarzadeh Ghoushchi (11 shared papers)Shokofeh Anari (10 shared papers)Erfan Babaee Tırkolaee (6 shared papers)Maryam Naseri (1 shared paper)Annalina Caputo (4 shared papers)Teerath Kumar (6 shared papers)Rob Brennan (18 shared papers)
In The Last Decade
Malika Bendechache
67 papers receiving 1.7k citations
Malika Bendechache's Hit Papers
Peers
Comparison fields: 5 of 150
- Neurology 521
- Computer Vision and Pattern Recognition 739
- Health Informatics 46
- Radiology, Nuclear Medicine and Imaging 411
- Artificial Intelligence 551
Countries citing papers authored by Malika Bendechache
This map shows the geographic impact of Malika Bendechache'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 Malika Bendechache with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Malika Bendechache more than expected).
Fields of papers citing papers by Malika Bendechache
This network shows the impact of papers produced by Malika Bendechache. 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 Malika Bendechache. The network helps show where Malika Bendechache may publish in the future.
Co-authors
The 25 scholars most cited alongside Malika Bendechache, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Brain tumor segmentation based on deep learning and an attention mechanism using MRI multi-modalities brain images Hit paper breakdown → | 2021 | 377 |
| 2 | Brain tumor segmentation of MRI images: A comprehensive review on the application of artificial intelligence tools Hit paper breakdown → | 2022 | 171 |
| 3 | 2019 | 96 | |
| 4 | Image Data Augmentation Approaches: A Comprehensive Survey and Future Directions Hit paper breakdown → | 2024 | 77 |
| 5 | 2021 | 72 | |
| 6 | 2021 | 65 | |
| 7 | 2023 | 60 | |
| 8 | 2024 | 57 | |
| 9 | 2022 | 56 | |
| 10 | 2022 | 54 | |
| 11 | 2022 | 51 | |
| 12 | 2023 | 42 | |
| 13 | 2022 | 40 | |
| 14 | 2022 | 38 | |
| 15 | 2021 | 36 | |
| 16 | 2021 | 34 | |
| 17 | 2021 | 30 | |
| 18 | 2022 | 30 | |
| 19 | 2023 | 27 | |
| 20 | 2020 | 25 |
About Malika Bendechache
Malika Bendechache is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 79 papers that have together received 1.8k indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (13 papers), AI in cancer detection (12 papers), Radiomics and Machine Learning in Medical Imaging (12 papers), Ethics and Social Impacts of AI (9 papers), Advanced Neural Network Applications (8 papers), Artificial Intelligence in Healthcare and Education (7 papers), COVID-19 Digital Contact Tracing (6 papers) and Privacy-Preserving Technologies in Data (6 papers). The work is most often cited by research in Neurology (521 citations), Computer Vision and Pattern Recognition (739 citations), Health Informatics (46 citations), Radiology, Nuclear Medicine and Imaging (411 citations) and Artificial Intelligence (551 citations). Malika Bendechache has collaborated with scholars based in Ireland, Iran and Türkiye. Frequent co-authors include Ramin Ranjbarzadeh, Saeid Jafarzadeh Ghoushchi, Shokofeh Anari, Erfan Babaee Tırkolaee, Maryam Naseri, Annalina Caputo, Teerath Kumar, Rob Brennan, N. Sarshar and Shadi Dorosti. Their work appears in journals such as Scientific Reports, Computers in Biology and Medicine, Future Internet, IEEE Access and Applied 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.