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Researcher · Time Université · Tunisia

Takwa Ben Aïcha Gader

Takwa Ben Aïcha Gader publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, on topics such as Handwritten Text Recognition Techniques, Image Processing and 3D Reconstruction and Brain Tumor Detection and Classification.

ORCID 0000-0002-3786-3649 OpenAlex
World rank
#4,594,972
of 7,710,434 ranked researchers
Rank in Tunisia
#3,953
of 12,803
Works
18
Citations
103
Citations per work
5.7
h-index
5
i10-index 3Top 87% in Computer Vision and Pattern Recognition
Takwa Ben Aïcha Gader

What does Takwa Ben Aïcha Gader research?

Takwa Ben Aïcha Gader's work is mostly in Computer Science (60%), Medicine (17%), Neuroscience (6%).

Physical Sciences: 11 works · 63.8% of their workComputer Science: 11 works · 59.5% of their workComputer Vision and Pattern Recognition: 7 works · 40.4% of their workArtificial Intelligence: 3 works · 19.1% of their workEngineering: 1 works · 4.3% of their workBiomedical Engineering: 1 works · 4.3% of their workHealth Sciences: 3 works · 17.1% of their workMedicine: 3 works · 17.1% of their workRadiology, Nuclear Medicine and Imaging: 2 works · 12.8% of their workPulmonary and Respiratory Medicine: 1 works · 4.3% of their workEverything else: 2 works · 12.7% of their workLife Sciences: 1 works · 6.4% of their workNeuroscience: 1 works · 6.4% of their workNeurology: 1 works · 6.4% of their workTHEIR WORKTakwa Ben AïchaGader18works
Life Sciences6%Physical Sciences64%Health Sciences17%

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. Computer Science1159.5%
    2. Engineering14.3%
    1. Medicine317.1%
  3. Everything else212.7%
    1. Neuroscience16.4%
  1. 1Computer Vision and Pattern Recognition40% of their works
  2. 2Artificial Intelligence19% of their works
  3. 3Radiology, Nuclear Medicine and Imaging13% of their works
  4. 4Neurology6% of their works
  5. 5Biomedical Engineering4% of their works
  6. 6Pulmonary and Respiratory Medicine4% of their works

Research topics

Which keywords describe Takwa Ben Aïcha Gader's research?

The keywords of their largest research topics: Convolutional Neural Networks, Deep Learning, Handwriting Recognition, Text Detection, Machine Learning, Fragmented Objects, Reconstruction and Brain Tumor.

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 19 words, with their numbers
  1. Convolutional Neural Networks133 topics
  2. Deep Learning114 topics
  3. Handwriting Recognition81 topic
  4. Text Detection81 topic
  5. Machine Learning62 topics
  6. Fragmented Objects41 topic
  7. Reconstruction41 topic
  8. Brain Tumor31 topic
  9. Diabetic Retinopathy31 topic
  10. Histopathology Images31 topic
  11. MRI31 topic
  12. Medical Image Analysis31 topic
  13. Neural Machine Translation31 topic
  14. Retinal Disease31 topic
  15. Statistical Machine Translation31 topic
  16. Concept Drift21 topic
  17. Data Streams21 topic
  18. Image Recognition21 topic
  19. Object Detection21 topic

Where does Takwa Ben Aïcha Gader work?

Takwa Ben Aïcha Gader's main affiliation in the publication record is Time Université, Tunisia.

How many publications and citations does Takwa Ben Aïcha Gader have?

OpenAlex counts 18 works and 103 citations for Takwa Ben Aïcha Gader, an h-index of 5, ranking #4,594,972 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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