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Researcher · Vellore Institute of Technology University · India

Nivedhitha Mahendran

Nivedhitha Mahendran publishes mostly in Molecular Biology, Experimental and Cognitive Psychology and Artificial Intelligence, on topics such as Gene expression and cancer classification, Machine Learning in Bioinformatics and Bioinformatics and Genomic Networks.

ORCID 0000-0003-4661-2881 OpenAlex
World rank
#2,417,035
of 7,710,434 ranked researchers
Rank in India
#45,001
of 280,097
Works
15
Citations
430
Citations per work
28.7
h-index
8
i10-index 8Top 87% in Molecular Biology
Nivedhitha Mahendran

What does Nivedhitha Mahendran research?

Nivedhitha Mahendran's work is mostly in Biochemistry, Genetics and Molecular Biology (26%), Psychology (12%), Computer Science (10%).

Everything else: 5 works · 33.4% of their workLife Sciences: 5 works · 31.0% of their workBiochemistry, Genetics and Molecular Biology: 4 works · 26.2% of their workMolecular Biology: 4 works · 26.2% of their workNeuroscience: 1 works · 4.8% of their workCognitive Neuroscience: 1 works · 4.8% of their workHealth Sciences: 2 works · 14.2% of their workHealth Professions: 1 works · 7.1% of their workHealth Information Management: 1 works · 7.1% of their workMedicine: 1 works · 7.1% of their workRadiology, Nuclear Medicine and Imaging: 1 works · 7.1% of their workSocial Sciences: 2 works · 11.9% of their workPsychology: 2 works · 11.9% of their workExperimental and Cognitive Psychology: 2 works · 11.9% of their workPhysical Sciences: 1 works · 9.5% of their workComputer Science: 1 works · 9.5% of their workArtificial Intelligence: 1 works · 9.5% of their workTHEIR WORKNivedhithaMahendran15works
Life Sciences31%Physical Sciences10%Health Sciences14%Social Sciences12%

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 else533.4%
    1. Biochemistry, Genetics and Molecular Biology426.2%
    2. Neuroscience14.8%
    1. Health Professions17.1%
    2. Medicine17.1%
    1. Psychology211.9%
    1. Computer Science19.5%
  1. 1Molecular Biology26% of their works
  2. 2Experimental and Cognitive Psychology12% of their works
  3. 3Artificial Intelligence10% of their works
  4. 4Health Information Management7% of their works
  5. 5Radiology, Nuclear Medicine and Imaging7% of their works
  6. 6Cognitive Neuroscience5% of their works

Research topics

Which keywords describe Nivedhitha Mahendran's research?

The keywords of their largest research topics: Machine Learning, Bioinformatics, Feature Selection, Deep Learning, Gene Expression, Microarray, Big Data Analytics and Gene Set Enrichment Analysis.

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 20 words, with their numbers
  1. Machine Learning145 topics
  2. Bioinformatics72 topics
  3. Feature Selection72 topics
  4. Deep Learning42 topics
  5. Gene Expression41 topic
  6. Microarray41 topic
  7. Big Data Analytics31 topic
  8. Gene Set Enrichment Analysis31 topic
  9. Healthcare31 topic
  10. Network Analysis31 topic
  11. Protein31 topic
  12. Protein-Protein Interaction Networks31 topic
  13. Psychopathology31 topic
  14. Subcellular Localization31 topic
  15. Brain Tumor21 topic
  16. Functional Connectivity21 topic
  17. Histopathology Images21 topic
  18. MRI21 topic
  19. Medical Image Analysis21 topic
  20. Resting-State fMRI21 topic

Where does Nivedhitha Mahendran work?

Nivedhitha Mahendran's main affiliation in the publication record is Vellore Institute of Technology University, India.

How many publications and citations does Nivedhitha Mahendran have?

OpenAlex counts 15 works and 430 citations for Nivedhitha Mahendran, an h-index of 8, ranking #2,417,035 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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