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Researcher · Karunya University · India

K. Martin Sagayam

K. Martin Sagayam publishes mostly in Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence, on topics such as IoT and Edge/Fog Computing, AI in cancer detection and COVID-19 diagnosis using AI.

ORCID 0000-0003-2080-0497 OpenAlex
World rank
#347,163
of 7,710,434 ranked researchers
Rank in India
#3,923
of 280,097
Works
153
Citations
3.4k
Citations per work
22.4
h-index
33
i10-index 54Top 4% in Computer Vision and Pattern Recognition
K. Martin Sagayam

What does K. Martin Sagayam research?

K. Martin Sagayam's work is mostly in Computer Science (34%), Engineering (7%), Medicine (6%).

Everything else: 81 works · 52.9% of their workPhysical Sciences: 63 works · 41.1% of their workComputer Science: 52 works · 33.9% of their workComputer Vision and Pattern Recognition: 22 works · 14.3% of their workArtificial Intelligence: 11 works · 6.9% of their workComputer Networks and Communications: 11 works · 6.9% of their workInformation Systems: 9 works · 5.8% of their workEngineering: 11 works · 7.2% of their workElectrical and Electronic Engineering: 11 works · 7.2% of their workHealth Sciences: 9 works · 6.0% of their workMedicine: 9 works · 6.0% of their workRadiology, Nuclear Medicine and Imaging: 9 works · 6.0% of their workTHEIR WORKK. Martin Sagayam153works
Physical Sciences41%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 else8152.9%
    1. Computer Science5233.9%
    2. Engineering117.2%
    1. Medicine96.0%
  1. 1Computer Vision and Pattern Recognition14% of their works
  2. 2Electrical and Electronic Engineering7% of their works
  3. 3Artificial Intelligence7% of their works
  4. 4Computer Networks and Communications7% of their works
  5. 5Radiology, Nuclear Medicine and Imaging6% of their works
  6. 6Information Systems6% of their works

Research topics

Which keywords describe K. Martin Sagayam's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Convolutional Neural Networks, Healthcare, Medical Imaging, Transfer Learning, Edge Computing and Internet of Things.

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 22 words, with their numbers
  1. Deep Learning696 topics
  2. Machine Learning303 topics
  3. Convolutional Neural Networks262 topics
  4. Healthcare232 topics
  5. Medical Imaging222 topics
  6. Transfer Learning222 topics
  7. Edge Computing151 topic
  8. Internet of Things151 topic
  9. COVID-19131 topic
  10. Chest X-Ray131 topic
  11. Histopathology Images131 topic
  12. Medical Image Analysis131 topic
  13. Gesture Recognition111 topic
  14. Human-Computer Interaction111 topic
  15. Brain Tumor91 topic
  16. MRI91 topic
  17. Action Recognition81 topic
  18. Big Data Analytics81 topic
  19. Education81 topic
  20. Medical Diagnosis81 topic
  21. Pose Estimation81 topic
  22. Technology81 topic

Where does K. Martin Sagayam work?

K. Martin Sagayam's main affiliation in the publication record is Karunya University, India.

How many publications and citations does K. Martin Sagayam have?

OpenAlex counts 153 works and 3,432 citations for K. Martin Sagayam, an h-index of 33, ranking #347,163 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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