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Researcher · Flame University · India

Jayaraman Krishnamoorthy Valadi

Jayaraman Krishnamoorthy Valadi publishes mostly in Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics, on topics such as Machine Learning in Bioinformatics, Gene expression and cancer classification and Evolutionary Algorithms and Applications.

ORCID 0000-0003-0185-9039 OpenAlex
World rank
#5,216,509
of 7,710,434 ranked researchers
Rank in India
#147,003
of 280,097
Works
78
Citations
437
Citations per work
5.6
h-index
10
i10-index 12Top 76% in Molecular Biology
Jayaraman Krishnamoorthy Valadi

What does Jayaraman Krishnamoorthy Valadi research?

Jayaraman Krishnamoorthy Valadi's work is mostly in Biochemistry, Genetics and Molecular Biology (33%), Computer Science (24%), Engineering (3%).

Everything else: 29 works · 36.9% of their workLife Sciences: 28 works · 36.0% of their workBiochemistry, Genetics and Molecular Biology: 26 works · 33.2% of their workMolecular Biology: 26 works · 33.2% of their workImmunology and Microbiology: 2 works · 2.8% of their workMicrobiology: 2 works · 2.8% of their workPhysical Sciences: 21 works · 27.1% of their workComputer Science: 19 works · 23.8% of their workArtificial Intelligence: 13 works · 16.8% of their workComputational Theory and Mathematics: 3 works · 3.7% of their workComputer Vision and Pattern Recognition: 3 works · 3.3% of their workEngineering: 3 works · 3.3% of their workControl and Systems Engineering: 3 works · 3.3% of their workTHEIR WORKJayaramanKrishnamoorthy…78works
Life Sciences36%Physical Sciences27%

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 else2936.9%
    1. Biochemistry, Genetics and Molecular Biology2633.2%
    2. Immunology and Microbiology22.8%
    1. Computer Science1923.8%
    2. Engineering33.3%
  1. 1Molecular Biology33% of their works
  2. 2Artificial Intelligence17% of their works
  3. 3Computational Theory and Mathematics4% of their works
  4. 4Control and Systems Engineering3% of their works
  5. 5Computer Vision and Pattern Recognition3% of their works
  6. 6Microbiology3% of their works

Research topics

Which keywords describe Jayaraman Krishnamoorthy Valadi's research?

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

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 20 words, with their numbers
  1. Machine Learning353 topics
  2. Bioinformatics333 topics
  3. Feature Selection182 topics
  4. Evolutionary Algorithms172 topics
  5. Protein171 topic
  6. Subcellular Localization171 topic
  7. Classification91 topic
  8. Gene Expression91 topic
  9. Genetic Programming91 topic
  10. Microarray91 topic
  11. Differential Evolution81 topic
  12. Epitope Prediction81 topic
  13. Particle Swarm Optimization81 topic
  14. Peptide-MHC Binding81 topic
  15. Education71 topic
  16. Training71 topic
  17. Antimicrobial Peptides61 topic
  18. Host Defense61 topic
  19. Ribosome61 topic
  20. Translation61 topic

Where does Jayaraman Krishnamoorthy Valadi work?

Jayaraman Krishnamoorthy Valadi's main affiliation in the publication record is Flame University, India.

How many publications and citations does Jayaraman Krishnamoorthy Valadi have?

OpenAlex counts 78 works and 437 citations for Jayaraman Krishnamoorthy Valadi, an h-index of 10, ranking #5,216,509 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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