Science Explorer Back to mapMap
Discussion
Researcher · Sejong University · South Korea

Muhammad Fazal Ijaz

Muhammad Fazal Ijaz publishes mostly in Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition, on topics such as AI in cancer detection, IoT and Edge/Fog Computing and Anomaly Detection Techniques and Applications.

ORCID 0000-0001-5206-272X OpenAlex
World rank
#11,148
of 7,710,434 ranked researchers
Rank in South Korea
#30
of 162,609
Works
115
Citations
7.7k
Citations per work
66.6
h-index
46
i10-index 88Top 1.3% in Artificial Intelligence
Muhammad Fazal Ijaz

What does Muhammad Fazal Ijaz research?

Muhammad Fazal Ijaz's work is mostly in Computer Science (40%), Engineering (5%), Medicine (4%).

Everything else: 58 works · 50.5% of their workPhysical Sciences: 53 works · 45.7% of their workComputer Science: 46 works · 40.3% of their workArtificial Intelligence: 19 works · 16.4% of their workComputer Networks and Communications: 10 works · 9.1% of their workComputer Vision and Pattern Recognition: 10 works · 8.8% of their workInformation Systems: 7 works · 6.0% of their workEngineering: 6 works · 5.4% of their workElectrical and Electronic Engineering: 6 works · 5.4% of their workHealth Sciences: 4 works · 3.8% of their workMedicine: 4 works · 3.8% of their workRadiology, Nuclear Medicine and Imaging: 4 works · 3.8% of their workTHEIR WORKMuhammad FazalIjaz115works
Physical Sciences46%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 else5850.5%
    1. Computer Science4640.3%
    2. Engineering65.4%
    1. Medicine43.8%
  1. 1Artificial Intelligence16% of their works
  2. 2Computer Networks and Communications9% of their works
  3. 3Computer Vision and Pattern Recognition9% of their works
  4. 4Information Systems6% of their works
  5. 5Electrical and Electronic Engineering5% of their works
  6. 6Radiology, Nuclear Medicine and Imaging4% of their works

Research topics

Which keywords describe Muhammad Fazal Ijaz's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Convolutional Neural Networks, Healthcare, Medical Image Analysis, IoT Security, Anomaly Detection 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 26 words, with their numbers
  1. Deep Learning546 topics
  2. Machine Learning466 topics
  3. Convolutional Neural Networks192 topics
  4. Healthcare192 topics
  5. Medical Image Analysis192 topics
  6. IoT Security182 topics
  7. Anomaly Detection152 topics
  8. Feature Extraction142 topics
  9. Computer-Aided Detection131 topic
  10. Data Mining132 topics
  11. Histopathology Images131 topic
  12. Edge Computing121 topic
  13. Image Processing122 topics
  14. Internet of Things121 topic
  15. Outlier Detection91 topic
  16. Unsupervised91 topic
  17. Brain Tumor81 topic
  18. MRI81 topic
  19. Big Data Analytics71 topic
  20. Medical Diagnosis71 topic
  21. Intrusion Detection61 topic
  22. Leukemia Classification61 topic
  23. Malaria Parasite Detection61 topic
  24. Network Security61 topic
  25. Plant Disease Detection61 topic
  26. Smart Farming61 topic

Where does Muhammad Fazal Ijaz work?

Muhammad Fazal Ijaz's main affiliation in the publication record is Sejong University, South Korea.

How many publications and citations does Muhammad Fazal Ijaz have?

OpenAlex counts 115 works and 7,654 citations for Muhammad Fazal Ijaz, an h-index of 46, ranking #11,148 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.

Other researchers named Muhammad Fazal Ijaz

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

Ask a question or share a note about Muhammad Fazal Ijaz. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.