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Researcher · Al Yamamah University · Saudi Arabia

Walaa Nagy Ismail

Walaa Nagy Ismail publishes mostly in Artificial Intelligence, Information Systems and Signal Processing, on topics such as Network Security and Intrusion Detection, COVID-19 diagnosis using AI and Brain Tumor Detection and Classification.

ORCID 0000-0002-1499-438X OpenAlex
World rank
#582,530
of 7,710,434 ranked researchers
Rank in Saudi Arabia
#2,415
of 25,688
Works
38
Citations
828
Citations per work
21.8
h-index
17
i10-index 21Top 18% in Artificial Intelligence
Walaa Nagy Ismail

What does Walaa Nagy Ismail research?

Walaa Nagy Ismail's work is mostly in Computer Science (47%), Medicine (8%), Health Professions (6%).

Physical Sciences: 18 works · 46.7% of their workComputer Science: 18 works · 46.7% of their workArtificial Intelligence: 6 works · 16.8% of their workInformation Systems: 4 works · 11.2% of their workSignal Processing: 4 works · 10.3% of their workComputer Networks and Communications: 3 works · 8.4% of their workEverything else: 15 works · 40.2% of their workHealth Sciences: 5 works · 13.1% of their workMedicine: 3 works · 7.5% of their workRadiology, Nuclear Medicine and Imaging: 3 works · 7.5% of their workHealth Professions: 2 works · 5.6% of their workHealth Information Management: 2 works · 5.6% of their workTHEIR WORKWalaa Nagy Ismail38works
Physical Sciences47%Health Sciences13%

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 Science1846.7%
  2. Everything else1540.2%
    1. Medicine37.5%
    2. Health Professions25.6%
  1. 1Artificial Intelligence17% of their works
  2. 2Information Systems11% of their works
  3. 3Signal Processing10% of their works
  4. 4Computer Networks and Communications8% of their works
  5. 5Radiology, Nuclear Medicine and Imaging8% of their works
  6. 6Health Information Management6% of their works

Research topics

Which keywords describe Walaa Nagy Ismail's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Data Mining, Anomaly Detection, Medical Imaging, Transfer Learning, IoT Security and Feature Extraction.

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 25 words, with their numbers
  1. Deep Learning306 topics
  2. Machine Learning245 topics
  3. Data Mining153 topics
  4. Anomaly Detection112 topics
  5. Medical Imaging112 topics
  6. Transfer Learning112 topics
  7. IoT Security102 topics
  8. Feature Extraction92 topics
  9. Time Series92 topics
  10. COVID-1961 topic
  11. Convolutional Neural Networks61 topic
  12. Intrusion Detection61 topic
  13. Network Security61 topic
  14. Association Rules51 topic
  15. Brain Tumor51 topic
  16. Frequent Patterns51 topic
  17. MRI51 topic
  18. Outlier Detection51 topic
  19. Unsupervised51 topic
  20. Android Malware41 topic
  21. Big Data Analytics41 topic
  22. Clustering41 topic
  23. Detection41 topic
  24. Dynamic Time Warping41 topic
  25. Healthcare41 topic

Where does Walaa Nagy Ismail work?

Walaa Nagy Ismail's main affiliation in the publication record is Al Yamamah University, Saudi Arabia.

How many publications and citations does Walaa Nagy Ismail have?

OpenAlex counts 38 works and 828 citations for Walaa Nagy Ismail, an h-index of 17, ranking #582,530 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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