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Researcher · University of Canterbury · New Zealand

Ramakrishnan Mukundan

Ramakrishnan Mukundan publishes mostly in Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Control and Systems Engineering, on topics such as Image Retrieval and Classification Techniques, Medical Image Segmentation Techniques and Advanced Image and Video Retrieval Techniques.

ORCID 0000-0003-4578-1931 OpenAlex
World rank
#1,042,125
of 7,710,434 ranked researchers
Rank in New Zealand
#4,079
of 21,128
Works
147
Citations
4.1k
Citations per work
27.6
h-index
23
i10-index 55Top 9.7% in Computer Vision and Pattern Recognition
Ramakrishnan Mukundan

What does Ramakrishnan Mukundan research?

Ramakrishnan Mukundan's work is mostly in Computer Science (61%), Engineering (16%).

Physical Sciences: 114 works · 77.3% of their workComputer Science: 90 works · 61.1% of their workComputer Vision and Pattern Recognition: 70 works · 47.8% of their workComputer Graphics and Computer-Aided Design: 12 works · 8.2% of their workArtificial Intelligence: 7 works · 5.1% of their workEngineering: 24 works · 16.2% of their workControl and Systems Engineering: 9 works · 5.8% of their workAerospace Engineering: 8 works · 5.6% of their workComputational Mechanics: 7 works · 4.8% of their workEverything else: 33 works · 22.7% of their workTHEIR WORKRamakrishnanMukundan147works
Physical Sciences77%

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 Science9061.1%
    2. Engineering2416.2%
  2. Everything else3322.7%
  1. 1Computer Vision and Pattern Recognition48% of their works
  2. 2Computer Graphics and Computer-Aided Design8% of their works
  3. 3Control and Systems Engineering6% of their works
  4. 4Aerospace Engineering6% of their works
  5. 5Artificial Intelligence5% of their works
  6. 6Computational Mechanics5% of their works

Research topics

Which keywords describe Ramakrishnan Mukundan's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Medical Image Analysis, Content-Based Image Retrieval, Shape Matching, Convolutional Neural Networks, Graph Cuts and Image Segmentation.

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. Deep Learning1035 topics
  2. Machine Learning532 topics
  3. Medical Image Analysis442 topics
  4. Content-Based Image Retrieval381 topic
  5. Shape Matching381 topic
  6. Convolutional Neural Networks312 topics
  7. Graph Cuts291 topic
  8. Image Segmentation291 topic
  9. Feature Matching241 topic
  10. Local Descriptors241 topic
  11. Computer Graphics221 topic
  12. Depth Estimation221 topic
  13. Stereo Vision221 topic
  14. Visualization221 topic
  15. Character Animation191 topic
  16. Motion Synthesis191 topic
  17. Image Denoising161 topic
  18. Sparse Representations161 topic
  19. Computer-Aided Detection151 topic
  20. Histopathology Images151 topic

Where does Ramakrishnan Mukundan work?

Ramakrishnan Mukundan's main affiliation in the publication record is University of Canterbury, New Zealand.

How many publications and citations does Ramakrishnan Mukundan have?

OpenAlex counts 147 works and 4,059 citations for Ramakrishnan Mukundan, an h-index of 23, ranking #1,042,125 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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