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Researcher · Indian Institute of Technology Madras · India

Ambasamudram Narayanan Rajagopalan

Ambasamudram Narayanan Rajagopalan publishes mostly in Computer Vision and Pattern Recognition, Media Technology and Atomic and Molecular Physics, and Optics, on topics such as Advanced Image Processing Techniques, Image Processing Techniques and Applications and Advanced Vision and Imaging.

ORCID 0000-0002-0006-6961 OpenAlex
World rank
#505,084
of 7,710,434 ranked researchers
Rank in India
#6,052
of 280,097
Works
250
Citations
5.7k
Citations per work
22.6
h-index
39
i10-index 92Top 2.5% in Computer Vision and Pattern Recognition
Ambasamudram Narayanan Rajagopalan

What does Ambasamudram Narayanan Rajagopalan research?

Ambasamudram Narayanan Rajagopalan's work is mostly in Computer Science (64%), Engineering (19%), Physics and Astronomy (4%).

Physical Sciences: 219 works · 87.6% of their workComputer Science: 161 works · 64.4% of their workComputer Vision and Pattern Recognition: 153 works · 61.2% of their workArtificial Intelligence: 8 works · 3.2% of their workEngineering: 48 works · 19.2% of their workMedia Technology: 44 works · 17.8% of their workBiomedical Engineering: 4 works · 1.4% of their workPhysics and Astronomy: 10 works · 4.0% of their workAtomic and Molecular Physics, and Optics: 10 works · 4.0% of their workEverything else: 25 works · 10.2% of their workLife Sciences: 6 works · 2.2% of their workBiochemistry, Genetics and Molecular Biology: 6 works · 2.2% of their workBiophysics: 6 works · 2.2% of their workTHEIR WORKAmbasamudramNarayanan…250works
Life Sciences2%Physical Sciences88%

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 Science16164.4%
    2. Engineering4819.2%
    3. Physics and Astronomy104.0%
  2. Everything else2510.2%
    1. Biochemistry, Genetics and Molecular Biology62.2%
  1. 1Computer Vision and Pattern Recognition61% of their works
  2. 2Media Technology18% of their works
  3. 3Atomic and Molecular Physics, and Optics4% of their works
  4. 4Artificial Intelligence3% of their works
  5. 5Biophysics2% of their works
  6. 6Biomedical Engineering1% of their works

Research topics

Which keywords describe Ambasamudram Narayanan Rajagopalan's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Convolutional Networks, Depth Estimation, Image Processing, Image, Super-Resolution and Microscopy.

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 22 words, with their numbers
  1. Deep Learning2605 topics
  2. Neural Networks2462 topics
  3. Convolutional Networks2372 topics
  4. Depth Estimation2152 topics
  5. Image Processing1593 topics
  6. Image1341 topic
  7. Super-Resolution1341 topic
  8. Microscopy1282 topics
  9. Autofocusing1121 topic
  10. Shape from Focus1121 topic
  11. Optical Flow1031 topic
  12. Stereo Vision1031 topic
  13. Image Denoising561 topic
  14. Sparse Representations561 topic
  15. Contrast Enhancement311 topic
  16. Dehazing311 topic
  17. Digital Holographic Microscopy231 topic
  18. Quantitative Phase Imaging231 topic
  19. Camera Calibration221 topic
  20. Structured Light221 topic
  21. Bioimage Analysis161 topic
  22. High-Content Screening161 topic

Where does Ambasamudram Narayanan Rajagopalan work?

Ambasamudram Narayanan Rajagopalan's main affiliation in the publication record is Indian Institute of Technology Madras, India.

How many publications and citations does Ambasamudram Narayanan Rajagopalan have?

OpenAlex counts 250 works and 5,658 citations for Ambasamudram Narayanan Rajagopalan, an h-index of 39, ranking #505,084 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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