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Researcher · Saveetha University · India

Gnanajeyaraman Rajaram

Gnanajeyaraman Rajaram publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, on topics such as Brain Tumor Detection and Classification, AI in cancer detection and Artificial Intelligence in Healthcare.

ORCID 0000-0002-7749-6708 OpenAlex
World rank
#583,562
of 7,710,434 ranked researchers
Rank in India
#7,169
of 280,097
Works
86
Citations
381
Citations per work
4.4
h-index
11
i10-index 14Top 37% in Artificial Intelligence
Gnanajeyaraman Rajaram

What does Gnanajeyaraman Rajaram research?

Gnanajeyaraman Rajaram's work is mostly in Computer Science (40%), Engineering (8%), Neuroscience (5%).

Physical Sciences: 41 works · 47.7% of their workComputer Science: 34 works · 39.7% of their workArtificial Intelligence: 13 works · 15.6% of their workComputer Vision and Pattern Recognition: 8 works · 9.8% of their workInformation Systems: 7 works · 7.6% of their workComputer Networks and Communications: 6 works · 6.7% of their workEngineering: 7 works · 8.0% of their workElectrical and Electronic Engineering: 7 works · 8.0% of their workEverything else: 41 works · 47.4% of their workLife Sciences: 4 works · 4.9% of their workNeuroscience: 4 works · 4.9% of their workNeurology: 4 works · 4.9% of their workTHEIR WORKGnanajeyaramanRajaram86works
Life Sciences5%Physical Sciences48%

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 Science3439.7%
    2. Engineering78.0%
  2. Everything else4147.4%
    1. Neuroscience44.9%
  1. 1Artificial Intelligence16% of their works
  2. 2Computer Vision and Pattern Recognition10% of their works
  3. 3Electrical and Electronic Engineering8% of their works
  4. 4Information Systems8% of their works
  5. 5Computer Networks and Communications7% of their works
  6. 6Neurology5% of their works

Research topics

Which keywords describe Gnanajeyaraman Rajaram's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Feature Extraction, Healthcare, Medical Imaging, Convolutional Neural Networks, Brain Tumor and MRI.

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 Learning376 topics
  2. Machine Learning345 topics
  3. Feature Extraction162 topics
  4. Healthcare163 topics
  5. Medical Imaging162 topics
  6. Convolutional Neural Networks132 topics
  7. Brain Tumor111 topic
  8. MRI111 topic
  9. Precision Medicine92 topics
  10. Predictive Modeling92 topics
  11. Big Data Analytics71 topic
  12. Histopathology Images71 topic
  13. Medical Diagnosis71 topic
  14. Medical Image Analysis71 topic
  15. Image Recognition61 topic
  16. Object Detection61 topic
  17. Edge Computing51 topic
  18. Internet of Things51 topic
  19. Quantitative Analysis51 topic
  20. Radiomics51 topic
  21. Electronic Health Records41 topic
  22. Patient Similarity41 topic
  23. Plant Disease Detection41 topic
  24. Smart Farming41 topic

Where does Gnanajeyaraman Rajaram work?

Gnanajeyaraman Rajaram's main affiliation in the publication record is Saveetha University, India.

How many publications and citations does Gnanajeyaraman Rajaram have?

OpenAlex counts 86 works and 381 citations for Gnanajeyaraman Rajaram, an h-index of 11, ranking #583,562 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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