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Researcher · Saveetha University · India

Govindaraj Ramkumar

Govindaraj Ramkumar publishes mostly in Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Mechanical Engineering, on topics such as Brain Tumor Detection and Classification, IoT and GPS-based Vehicle Safety Systems and Artificial Intelligence in Healthcare.

ORCID 0000-0002-3187-9949 OpenAlex
World rank
#72,563
of 7,710,434 ranked researchers
Rank in India
#723
of 280,097
Works
260
Citations
5.8k
Citations per work
22.4
h-index
50
i10-index 136Top 1.6% in Electrical and Electronic Engineering
Govindaraj Ramkumar

What does Govindaraj Ramkumar research?

Govindaraj Ramkumar's work is mostly in Engineering (23%), Computer Science (21%), Medicine (6%).

Everything else: 132 works · 50.6% of their workPhysical Sciences: 114 works · 43.9% of their workEngineering: 59 works · 22.8% of their workElectrical and Electronic Engineering: 44 works · 17.1% of their workMechanical Engineering: 15 works · 5.7% of their workComputer Science: 55 works · 21.1% of their workComputer Vision and Pattern Recognition: 32 works · 12.2% of their workComputer Networks and Communications: 14 works · 5.5% of their workArtificial Intelligence: 9 works · 3.4% of their workHealth Sciences: 14 works · 5.5% of their workMedicine: 14 works · 5.5% of their workRadiology, Nuclear Medicine and Imaging: 14 works · 5.5% of their workTHEIR WORKGovindarajRamkumar260works
Physical Sciences44%Health Sciences6%

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 else13250.6%
    1. Engineering5922.8%
    2. Computer Science5521.1%
    1. Medicine145.5%
  1. 1Electrical and Electronic Engineering17% of their works
  2. 2Computer Vision and Pattern Recognition12% of their works
  3. 3Mechanical Engineering6% of their works
  4. 4Computer Networks and Communications6% of their works
  5. 5Radiology, Nuclear Medicine and Imaging6% of their works
  6. 6Artificial Intelligence3% of their works

Research topics

Which keywords describe Govindaraj Ramkumar's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Convolutional Neural Networks, Feature Extraction, Medical Imaging, Brain Tumor, IoT 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 21 words, with their numbers
  1. Deep Learning594 topics
  2. Machine Learning483 topics
  3. Convolutional Neural Networks403 topics
  4. Feature Extraction322 topics
  5. Medical Imaging322 topics
  6. Brain Tumor171 topic
  7. IoT171 topic
  8. MRI171 topic
  9. Smart Vehicle Safety171 topic
  10. Big Data Analytics161 topic
  11. Healthcare161 topic
  12. COVID-19151 topic
  13. Chest X-Ray151 topic
  14. Leukemia Classification151 topic
  15. Malaria Parasite Detection151 topic
  16. Battery Management Systems111 topic
  17. Coherent Detection111 topic
  18. Lithium-ion Batteries111 topic
  19. Optical Fiber111 topic
  20. Face Recognition101 topic
  21. Facial Landmark Detection101 topic

Where does Govindaraj Ramkumar work?

Govindaraj Ramkumar's main affiliation in the publication record is Saveetha University, India.

How many publications and citations does Govindaraj Ramkumar have?

OpenAlex counts 260 works and 5,826 citations for Govindaraj Ramkumar, an h-index of 50, ranking #72,563 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.

Other researchers named Govindaraj Ramkumar

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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