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Researcher · Avinashilingam University · India

M. Kalaivani

M. Kalaivani publishes mostly in Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition, on topics such as EEG and Brain-Computer Interfaces, AI in cancer detection and Energy Efficient Wireless Sensor Networks.

OpenAlex
World rank
#4,163,441
of 7,710,434 ranked researchers
Rank in India
#101,785
of 280,097
Works
31
Citations
198
Citations per work
6.4
h-index
7
i10-index 6Top 65% in Artificial Intelligence
M. Kalaivani

What does M. Kalaivani research?

M. Kalaivani's work is mostly in Computer Science (43%), Neuroscience (10%), Biochemistry, Genetics and Molecular Biology (8%).

Physical Sciences: 13 works · 43.3% of their workComputer Science: 13 works · 43.3% of their workArtificial Intelligence: 4 works · 14.5% of their workComputer Networks and Communications: 4 works · 12.0% of their workComputer Vision and Pattern Recognition: 4 works · 12.0% of their workSignal Processing: 1 works · 4.8% of their workEverything else: 12 works · 38.7% of their workLife Sciences: 6 works · 18.0% of their workNeuroscience: 3 works · 9.6% of their workCognitive Neuroscience: 3 works · 9.6% of their workBiochemistry, Genetics and Molecular Biology: 3 works · 8.4% of their workMolecular Biology: 3 works · 8.4% of their workTHEIR WORKM. Kalaivani31works
Life Sciences18%Physical Sciences43%

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 Science1343.3%
  2. Everything else1238.7%
    1. Neuroscience39.6%
    2. Biochemistry, Genetics and Molecular Biology38.4%
  1. 1Artificial Intelligence14% of their works
  2. 2Computer Networks and Communications12% of their works
  3. 3Computer Vision and Pattern Recognition12% of their works
  4. 4Cognitive Neuroscience10% of their works
  5. 5Molecular Biology8% of their works
  6. 6Signal Processing5% of their works

Research topics

Which keywords describe M. Kalaivani's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, Bioinformatics, Brain-Computer Interfaces, EEG Analysis, Chaos, Energy-Efficient Protocols and Histopathology Images.

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 19 words, with their numbers
  1. Machine Learning73 topics
  2. Deep Learning52 topics
  3. Bioinformatics42 topics
  4. Brain-Computer Interfaces41 topic
  5. EEG Analysis41 topic
  6. Chaos31 topic
  7. Energy-Efficient Protocols31 topic
  8. Histopathology Images31 topic
  9. Home Automation31 topic
  10. Image Encryption31 topic
  11. Medical Image Analysis31 topic
  12. Wireless31 topic
  13. Wireless Sensor Networks31 topic
  14. Gene Expression21 topic
  15. Microarray21 topic
  16. Neural Networks21 topic
  17. Protein21 topic
  18. Self-Organizing Maps21 topic
  19. Subcellular Localization21 topic

Where does M. Kalaivani work?

M. Kalaivani's main affiliation in the publication record is Avinashilingam University, India.

How many publications and citations does M. Kalaivani have?

OpenAlex counts 31 works and 198 citations for M. Kalaivani, an h-index of 7, ranking #4,163,441 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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