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Researcher · Aliah University · India

Saiyed Umer

Saiyed Umer publishes mostly in Computer Vision and Pattern Recognition, Molecular Biology and Signal Processing, on topics such as Biometric Identification and Security, Emotion and Mood Recognition and Face and Expression Recognition.

ORCID 0000-0002-1476-041X OpenAlex
World rank
#875,636
of 7,710,434 ranked researchers
Rank in India
#11,863
of 280,097
Works
92
Citations
1.4k
Citations per work
15.2
h-index
22
i10-index 38Top 11% in Computer Vision and Pattern Recognition
Saiyed Umer

What does Saiyed Umer research?

Saiyed Umer's work is mostly in Computer Science (44%), Biochemistry, Genetics and Molecular Biology (13%), Psychology (7%).

Physical Sciences: 40 works · 43.6% of their workComputer Science: 40 works · 43.6% of their workComputer Vision and Pattern Recognition: 21 works · 22.6% of their workSignal Processing: 9 works · 9.4% of their workArtificial Intelligence: 7 works · 7.1% of their workInformation Systems: 4 works · 4.5% of their workEverything else: 34 works · 36.5% of their workLife Sciences: 12 works · 12.8% of their workBiochemistry, Genetics and Molecular Biology: 12 works · 12.8% of their workMolecular Biology: 12 works · 12.8% of their workSocial Sciences: 7 works · 7.1% of their workPsychology: 7 works · 7.1% of their workExperimental and Cognitive Psychology: 7 works · 7.1% of their workTHEIR WORKSaiyed Umer92works
Life Sciences13%Physical Sciences44%Social Sciences7%

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 Science4043.6%
  2. Everything else3436.5%
    1. Biochemistry, Genetics and Molecular Biology1212.8%
    1. Psychology77.1%
  1. 1Computer Vision and Pattern Recognition23% of their works
  2. 2Molecular Biology13% of their works
  3. 3Signal Processing9% of their works
  4. 4Artificial Intelligence7% of their works
  5. 5Experimental and Cognitive Psychology7% of their works
  6. 6Information Systems4% of their works

Research topics

Which keywords describe Saiyed Umer's research?

The keywords of their largest research topics: Deep Learning, Feature Extraction, Face Recognition, Support Vector Machines, Authentication, Security, Emotion Recognition and Biometric Recognition.

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 24 words, with their numbers
  1. Deep Learning433 topics
  2. Feature Extraction412 topics
  3. Face Recognition362 topics
  4. Support Vector Machines322 topics
  5. Authentication302 topics
  6. Security302 topics
  7. Emotion Recognition252 topics
  8. Biometric Recognition221 topic
  9. Privacy221 topic
  10. Machine Learning202 topics
  11. Facial Expression191 topic
  12. Multimodal Data191 topic
  13. Age Estimation181 topic
  14. Dimensionality Reduction181 topic
  15. Facial Landmark Detection181 topic
  16. Feature Selection181 topic
  17. Protein141 topic
  18. Subcellular Localization141 topic
  19. Biometrics81 topic
  20. Passwords81 topic
  21. Opinion Mining61 topic
  22. Sentiment Analysis61 topic
  23. Arginine Methylation51 topic
  24. Protein Arginine Methyltransferases51 topic

Where does Saiyed Umer work?

Saiyed Umer's main affiliation in the publication record is Aliah University, India.

How many publications and citations does Saiyed Umer have?

OpenAlex counts 92 works and 1,395 citations for Saiyed Umer, an h-index of 22, ranking #875,636 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.

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