Malika Bendechache
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 2%
- Neurology top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Information Systems top 5%
- Co-authors
- Ramin RanjbarzadehSaeid Jafarzadeh GhoushchiShokofeh AnariErfan Babaee TırkolaeeMaryam NaseriAnnalina CaputoTeerath KumarRob Brennan
- Topics
- Brain Tumor Detection and Classification (13 papers)Radiomics and Machine Learning in Medical Imaging (12 papers)AI in cancer detection (12 papers)
In The Last Decade
Malika Bendechache
67 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Computer Vision and Pattern Recognition 739
- Artificial Intelligence 551
- Neurology 521
- Radiology, Nuclear Medicine and Imaging 411
- Information Systems 168
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-authorship network of co-authors of Malika Bendechache
This figure shows the co-authorship network connecting the top 25 collaborators of Malika Bendechache. A scholar is included among the top collaborators of Malika Bendechache 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 Malika Bendechache. Malika Bendechache is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 0 | |
| 9 | Image Data Augmentation Approaches: A Comprehensive Survey and Future Directionsbreakdown → | 77 |
| 10 | 2 | |
| 11 | 8 | |
| 12 | 1 | |
| 13 | 7 | |
| 14 | 9 | |
| 15 | 7 | |
| 16 | 13 | |
| 17 | 5 | |
| 18 | 27 | |
| 19 | Brain tumor segmentation based on deep learning and an attention mechanism using MRI multi-modalities brain imagesbreakdown → | 377 |
| 20 | 24 |
About Malika Bendechache
Malika Bendechache is a scholar working on Health Informatics, Neurology and Safety Research, 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), Radiomics and Machine Learning in Medical Imaging (12 papers) and AI in cancer detection (12 papers). The work is most often cited by research in Neurology (521 citations), Computer Vision and Pattern Recognition (739 citations) and Health Informatics (46 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, Expert Systems with Applications 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.