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Researcher · Université Gustave Eiffel · France

Mohamed Akil

Mohamed Akil publishes mostly in Computer Vision and Pattern Recognition, Hardware and Architecture and Rheumatology, on topics such as Medical Image Segmentation Techniques, Retinal Imaging and Analysis and Digital Image Processing Techniques.

ORCID 0000-0001-9029-2163 OpenAlex
World rank
#2,792,541
of 7,710,434 ranked researchers
Rank in France
#118,690
of 324,115
Works
290
Citations
5.4k
Citations per work
18.6
h-index
36
i10-index 60Top 3.1% in Computer Vision and Pattern Recognition
Mohamed Akil

What does Mohamed Akil research?

Mohamed Akil's work is mostly in Computer Science (31%), Medicine (18%), Engineering (5%).

Everything else: 134 works · 46.3% of their workPhysical Sciences: 104 works · 35.9% of their workComputer Science: 90 works · 30.9% of their workComputer Vision and Pattern Recognition: 66 works · 22.6% of their workHardware and Architecture: 24 works · 8.3% of their workEngineering: 14 works · 5.0% of their workElectrical and Electronic Engineering: 14 works · 5.0% of their workHealth Sciences: 52 works · 17.8% of their workMedicine: 52 works · 17.8% of their workRheumatology: 19 works · 6.4% of their workOphthalmology: 17 works · 6.0% of their workRadiology, Nuclear Medicine and Imaging: 16 works · 5.4% of their workTHEIR WORKMohamed Akil290works
Physical Sciences36%Health Sciences18%

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
  1. Everything else13446.3%
    1. Computer Science9030.9%
    2. Engineering145.0%
    1. Medicine5217.8%
  1. 1Computer Vision and Pattern Recognition23% of their works
  2. 2Hardware and Architecture8% of their works
  3. 3Rheumatology6% of their works
  4. 4Ophthalmology6% of their works
  5. 5Radiology, Nuclear Medicine and Imaging5% of their works
  6. 6Electrical and Electronic Engineering5% of their works

Research topics

Which keywords describe Mohamed Akil's research?

The keywords of their largest research topics: Deep Learning, Image Segmentation, Medical Image Analysis, Diabetic Retinopathy, Retinal Disease, Connected Components, High-Level Synthesis and Labeling.

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 17 words, with their numbers
  1. Deep Learning722 topics
  2. Image Segmentation381 topic
  3. Medical Image Analysis381 topic
  4. Diabetic Retinopathy341 topic
  5. Retinal Disease341 topic
  6. Connected Components311 topic
  7. High-Level Synthesis311 topic
  8. Labeling311 topic
  9. Reconfigurable Computing311 topic
  10. CMOS Image Sensors281 topic
  11. High-Speed Imaging281 topic
  12. Parallel Computing241 topic
  13. Performance Optimization241 topic
  14. Antiphospholipid Syndrome231 topic
  15. Systemic Lupus Erythematosus231 topic
  16. Depth Estimation201 topic
  17. Stereo Vision201 topic

Where does Mohamed Akil work?

Mohamed Akil's main affiliation in the publication record is Université Gustave Eiffel, France.

How many publications and citations does Mohamed Akil have?

OpenAlex counts 290 works and 5,386 citations for Mohamed Akil, an h-index of 36, ranking #2,792,541 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.

Discussion

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