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Researcher · Kafrelsheikh University · Egypt

Fatma M. Talaat

Fatma M. Talaat publishes mostly in Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition, on topics such as IoT and Edge/Fog Computing, AI in cancer detection and Smart Agriculture and AI.

ORCID 0000-0001-6116-2191 OpenAlex
World rank
#48,745
of 7,710,434 ranked researchers
Rank in Egypt
#128
of 36,277
Works
107
Citations
4k
Citations per work
37.7
h-index
32
i10-index 55Top 4% in Artificial Intelligence
Fatma M. Talaat

What does Fatma M. Talaat research?

Fatma M. Talaat's work is mostly in Computer Science (27%), Medicine (4%), Engineering (4%).

Everything else: 65 works · 60.9% of their workPhysical Sciences: 33 works · 30.8% of their workComputer Science: 28 works · 26.6% of their workArtificial Intelligence: 13 works · 12.6% of their workComputer Networks and Communications: 8 works · 7.7% of their workComputer Vision and Pattern Recognition: 7 works · 6.3% of their workEngineering: 4 works · 4.2% of their workElectrical and Electronic Engineering: 4 works · 4.2% of their workHealth Sciences: 5 works · 4.5% of their workMedicine: 5 works · 4.5% of their workRadiology, Nuclear Medicine and Imaging: 5 works · 4.5% of their workLife Sciences: 4 works · 3.8% of their workAgricultural and Biological Sciences: 4 works · 3.8% of their workPlant Science: 4 works · 3.8% of their workTHEIR WORKFatma M. Talaat107works
Life Sciences4%Physical Sciences31%Health Sciences4%

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 else6560.9%
    1. Computer Science2826.6%
    2. Engineering44.2%
    1. Medicine54.5%
    1. Agricultural and Biological Sciences43.8%
  1. 1Artificial Intelligence13% of their works
  2. 2Computer Networks and Communications8% of their works
  3. 3Computer Vision and Pattern Recognition6% of their works
  4. 4Radiology, Nuclear Medicine and Imaging4% of their works
  5. 5Electrical and Electronic Engineering4% of their works
  6. 6Plant Science4% of their works

Research topics

Which keywords describe Fatma M. Talaat's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Healthcare, IoT Security, Convolutional Neural Networks, Data Mining, Feature Extraction and Medical Imaging.

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.

All 25 words, with their numbers
  1. Deep Learning487 topics
  2. Machine Learning325 topics
  3. Healthcare162 topics
  4. IoT Security162 topics
  5. Convolutional Neural Networks142 topics
  6. Data Mining122 topics
  7. Feature Extraction112 topics
  8. Medical Imaging112 topics
  9. Transfer Learning112 topics
  10. Edge Computing101 topic
  11. Internet of Things101 topic
  12. Histopathology Images81 topic
  13. Medical Image Analysis81 topic
  14. Plant Disease Detection71 topic
  15. Smart Farming71 topic
  16. Big Data Analytics61 topic
  17. COVID-1961 topic
  18. Chest X-Ray61 topic
  19. Emotion Recognition61 topic
  20. Intrusion Detection61 topic
  21. Medical Diagnosis61 topic
  22. Multimodal Data61 topic
  23. Network Security61 topic
  24. Brain Tumor51 topic
  25. MRI51 topic

Where does Fatma M. Talaat work?

Fatma M. Talaat's main affiliation in the publication record is Kafrelsheikh University, Egypt.

How many publications and citations does Fatma M. Talaat have?

OpenAlex counts 107 works and 4,036 citations for Fatma M. Talaat, an h-index of 32, ranking #48,745 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised 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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