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Researcher · Sadat Academy for Management Sciences · Egypt

Nabil Mohamed Eldakhly

Nabil Mohamed Eldakhly publishes mostly in Computer Networks and Communications, Artificial Intelligence and Information Systems, on topics such as Network Security and Intrusion Detection, Anomaly Detection Techniques and Applications and Multi-Criteria Decision Making.

ORCID 0000-0001-7554-2857 OpenAlex
World rank
#5,973,221
of 7,710,434 ranked researchers
Rank in Egypt
#25,064
of 36,277
Works
20
Citations
70
Citations per work
3.5
h-index
5
i10-index 2Top 85% in Computer Networks and Communications
Nabil Mohamed Eldakhly

What does Nabil Mohamed Eldakhly research?

Nabil Mohamed Eldakhly's work is mostly in Computer Science (47%), Medicine (8%), Decision Sciences (6%).

Physical Sciences: 10 works · 51.0% of their workComputer Science: 9 works · 47.1% of their workComputer Networks and Communications: 4 works · 19.6% of their workArtificial Intelligence: 3 works · 15.7% of their workInformation Systems: 2 works · 11.8% of their workMathematics: 1 works · 3.9% of their workStatistics and Probability: 1 works · 3.9% of their workEverything else: 7 works · 35.3% of their workHealth Sciences: 2 works · 7.8% of their workMedicine: 2 works · 7.8% of their workCardiology and Cardiovascular Medicine: 2 works · 7.8% of their workSocial Sciences: 1 works · 5.9% of their workDecision Sciences: 1 works · 5.9% of their workManagement Science and Operations Research: 1 works · 5.9% of their workTHEIR WORKNabil MohamedEldakhly20works
Physical Sciences51%Health Sciences8%Social Sciences6%

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 Science947.1%
    2. Mathematics13.9%
  2. Everything else735.3%
    1. Medicine27.8%
    1. Decision Sciences15.9%
  1. 1Computer Networks and Communications20% of their works
  2. 2Artificial Intelligence16% of their works
  3. 3Information Systems12% of their works
  4. 4Cardiology and Cardiovascular Medicine8% of their works
  5. 5Management Science and Operations Research6% of their works
  6. 6Statistics and Probability4% of their works

Research topics

Which keywords describe Nabil Mohamed Eldakhly's research?

The keywords of their largest research topics: Deep Learning, Anomaly Detection, IoT Security, Machine Learning, Intrusion Detection, Network Security, Analytic Hierarchy Process and Outlier Detection.

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 20 words, with their numbers
  1. Deep Learning134 topics
  2. Anomaly Detection92 topics
  3. IoT Security82 topics
  4. Machine Learning82 topics
  5. Intrusion Detection61 topic
  6. Network Security61 topic
  7. Analytic Hierarchy Process31 topic
  8. Outlier Detection31 topic
  9. TOPSIS31 topic
  10. Unsupervised31 topic
  11. Arrhythmia Detection21 topic
  12. Autonomic Nervous System21 topic
  13. ECG Signal21 topic
  14. Edge Computing21 topic
  15. Heart Rate Variability21 topic
  16. Internet of Things21 topic
  17. Phishing21 topic
  18. Spam Detection21 topic
  19. Brain-Computer Interfaces11 topic
  20. EEG Analysis11 topic

Where does Nabil Mohamed Eldakhly work?

Nabil Mohamed Eldakhly's main affiliation in the publication record is Sadat Academy for Management Sciences, Egypt.

How many publications and citations does Nabil Mohamed Eldakhly have?

OpenAlex counts 20 works and 70 citations for Nabil Mohamed Eldakhly, an h-index of 5, ranking #5,973,221 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.

Discussion

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