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Researcher · Barkatullah University · India

Abrar Yaqoob

Abrar Yaqoob publishes mostly in Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition, on topics such as Gene expression and cancer classification, Machine Learning in Bioinformatics and AI in cancer detection.

ORCID 0009-0000-1426-0864 OpenAlex
World rank
#905,677
of 7,710,434 ranked researchers
Rank in India
#12,385
of 280,097
Works
25
Citations
557
Citations per work
22.3
h-index
12
i10-index 12Top 65% in Molecular Biology
Abrar Yaqoob

What does Abrar Yaqoob research?

Abrar Yaqoob's work is mostly in Biochemistry, Genetics and Molecular Biology (61%), Computer Science (30%), Neuroscience (4%).

Life Sciences: 16 works · 65.2% of their workBiochemistry, Genetics and Molecular Biology: 15 works · 60.9% of their workMolecular Biology: 15 works · 60.9% of their workNeuroscience: 1 works · 4.3% of their workNeurology: 1 works · 4.3% of their workPhysical Sciences: 8 works · 31.8% of their workComputer Science: 8 works · 30.4% of their workArtificial Intelligence: 6 works · 23.2% of their workComputer Vision and Pattern Recognition: 1 works · 5.8% of their workSignal Processing: 0 works · 1.4% of their workChemistry: 0 works · 1.4% of their workAnalytical Chemistry: 0 works · 1.4% of their workEverything else: 1 works · 3.0% of their workTHEIR WORKAbrar Yaqoob25works
Life Sciences65%Physical Sciences32%

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. Biochemistry, Genetics and Molecular Biology1560.9%
    2. Neuroscience14.3%
    1. Computer Science830.4%
    2. Chemistry01.4%
  3. Everything else13.0%
  1. 1Molecular Biology61% of their works
  2. 2Artificial Intelligence23% of their works
  3. 3Computer Vision and Pattern Recognition6% of their works
  4. 4Neurology4% of their works
  5. 5Analytical Chemistry1% of their works
  6. 6Signal Processing1% of their works

Research topics

Which keywords describe Abrar Yaqoob's research?

The keywords of their largest research topics: Machine Learning, Bioinformatics, Feature Selection, Gene Expression, Microarray, Protein, Subcellular Localization and Deep Learning.

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 22 words, with their numbers
  1. Machine Learning476 topics
  2. Bioinformatics332 topics
  3. Feature Selection212 topics
  4. Gene Expression191 topic
  5. Microarray191 topic
  6. Protein141 topic
  7. Subcellular Localization141 topic
  8. Deep Learning123 topics
  9. Histopathology Images81 topic
  10. Medical Image Analysis81 topic
  11. Gene Set Enrichment Analysis71 topic
  12. Protein-Protein Interaction Networks71 topic
  13. Classification52 topics
  14. Evolutionary Algorithms52 topics
  15. Brain Tumor31 topic
  16. Differential Evolution31 topic
  17. MRI31 topic
  18. Particle Swarm Optimization31 topic
  19. Genetic Programming21 topic
  20. Symbolic Regression21 topic
  21. Plant Disease Detection11 topic
  22. Smart Farming11 topic

Where does Abrar Yaqoob work?

Abrar Yaqoob's main affiliation in the publication record is Barkatullah University, India.

How many publications and citations does Abrar Yaqoob have?

OpenAlex counts 25 works and 557 citations for Abrar Yaqoob, an h-index of 12, ranking #905,677 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.

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