Madjid Állili
Madjid Állili publishes mostly in Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Mathematical Physics, on topics such as Topological and Geometric Data Analysis, Medical Image Segmentation Techniques and Homotopy and Cohomology in Algebraic Topology.
- World rank
- #6,034,889 of 7,710,434 ranked researchers
- Rank in Canada
- #166,397 of 183,316
- Works
- 53
- Citations
- 238
- Citations per work
- 4.5
What does Madjid Állili research?
Madjid Állili's work is mostly in Computer Science (62%), Mathematics (9%), Medicine (7%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Physical Sciences3973.4%
- Computer Science3361.5%
- Mathematics58.9%
- Engineering23.0%
- Everything else1119.9%
- Health Sciences46.7%
- Medicine46.7%
- 1Computer Vision and Pattern Recognition34% of their works
- 2Computational Theory and Mathematics21% of their works
- 3Mathematical Physics9% of their works
- 4Computer Graphics and Computer-Aided Design7% of their works
- 5Radiology, Nuclear Medicine and Imaging7% of their works
- 6Computational Mechanics3% of their works
Research topics
- Topological and Geometric Data Analysis
- Medical Image Segmentation Techniques
- Homotopy and Cohomology in Algebraic Topology
- Digital Image Processing Techniques
- Image Retrieval and Classification Techniques
- Computer Graphics and Visualization Techniques
- Medical Imaging Techniques and Applications
- Cell Image Analysis Techniques
Which keywords describe Madjid Állili's research?
The keywords of their largest research topics: Machine Learning, Persistent Homology, Topological Methods, Deep Learning, Image Segmentation, Medical Image Analysis, Deformation Quantization and Poisson Manifolds.
- High-Content Screening
- PET/CT
- Visualization
- Shape Matching
- Labeling
- Poisson Manifolds
- Medical Image Analysis
- Deep Learning
- Persistent Homology
- Machine Learning
- Topological Methods
- Image Segmentation
- Deformation Quantization
- Connected Components
- Content-Based Image Retrieval
- Computer Graphics
- Imaging
- Bioimage Analysis
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.
All 18 words, with their numbers
- Machine Learning363 topics
- Persistent Homology261 topic
- Topological Methods261 topic
- Deep Learning172 topics
- Image Segmentation141 topic
- Medical Image Analysis141 topic
- Deformation Quantization101 topic
- Poisson Manifolds101 topic
- Connected Components91 topic
- Labeling91 topic
- Content-Based Image Retrieval71 topic
- Shape Matching71 topic
- Computer Graphics61 topic
- Visualization61 topic
- Imaging41 topic
- PET/CT41 topic
- Bioimage Analysis31 topic
- High-Content Screening31 topic
Where does Madjid Állili work?
Madjid Állili's main affiliation in the publication record is Bishop's University, Canada.
How many publications and citations does Madjid Állili have?
OpenAlex counts 53 works and 238 citations for Madjid Állili, an h-index of 7, ranking #6,034,889 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.
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