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Researcher · Sejong University · South Korea

Irfan Mehmood

Irfan Mehmood publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications, on topics such as Advanced Image and Video Retrieval Techniques, Video Analysis and Summarization and AI in cancer detection.

ORCID 0000-0001-7864-957X OpenAlex
World rank
#110,976
of 7,710,434 ranked researchers
Rank in South Korea
#536
of 162,609
Works
154
Citations
5.9k
Citations per work
38.1
h-index
42
i10-index 88Top 2% in Computer Vision and Pattern Recognition
Irfan Mehmood

What does Irfan Mehmood research?

Irfan Mehmood's work is mostly in Computer Science (49%), Neuroscience (3%).

Physical Sciences: 76 works · 49.4% of their workComputer Science: 76 works · 49.4% of their workComputer Vision and Pattern Recognition: 45 works · 28.9% of their workArtificial Intelligence: 16 works · 10.6% of their workComputer Networks and Communications: 6 works · 4.2% of their workInformation Systems: 5 works · 3.1% of their workSignal Processing: 4 works · 2.6% of their workEverything else: 74 works · 47.8% of their workLife Sciences: 4 works · 2.8% of their workNeuroscience: 4 works · 2.8% of their workNeurology: 4 works · 2.8% of their workTHEIR WORKIrfan Mehmood154works
Life Sciences3%Physical Sciences49%

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 Science7649.4%
  2. Everything else7447.8%
    1. Neuroscience42.8%
  1. 1Computer Vision and Pattern Recognition29% of their works
  2. 2Artificial Intelligence11% of their works
  3. 3Computer Networks and Communications4% of their works
  4. 4Information Systems3% of their works
  5. 5Neurology3% of their works
  6. 6Signal Processing3% of their works

Research topics

Which keywords describe Irfan Mehmood's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Convolutional Neural Networks, Medical Image Analysis, Feature Matching, Image Segmentation, Local Descriptors and Content-Based Retrieval.

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 21 words, with their numbers
  1. Deep Learning636 topics
  2. Machine Learning343 topics
  3. Convolutional Neural Networks273 topics
  4. Medical Image Analysis192 topics
  5. Feature Matching181 topic
  6. Image Segmentation182 topics
  7. Local Descriptors181 topic
  8. Content-Based Retrieval161 topic
  9. Video Summarization161 topic
  10. Computer-Aided Detection121 topic
  11. Histopathology Images121 topic
  12. Brain Tumor111 topic
  13. Content-Based Image Retrieval111 topic
  14. MRI111 topic
  15. Shape Matching111 topic
  16. Object Tracking81 topic
  17. Visual Tracking81 topic
  18. Active Contours71 topic
  19. Graph Cuts71 topic
  20. Image Recognition71 topic
  21. Object Detection71 topic

Where does Irfan Mehmood work?

Irfan Mehmood's main affiliation in the publication record is Sejong University, South Korea.

How many publications and citations does Irfan Mehmood have?

OpenAlex counts 154 works and 5,870 citations for Irfan Mehmood, an h-index of 42, ranking #110,976 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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