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Researcher · Shri Ramswaroop Memorial University · India

Vikrant Bhateja

Vikrant Bhateja publishes mostly in Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence, on topics such as Image and Signal Denoising Methods, Advanced Image Fusion Techniques and AI in cancer detection.

ORCID 0000-0002-3259-8874 OpenAlex
World rank
#252,713
of 7,710,434 ranked researchers
Rank in India
#2,715
of 280,097
Works
281
Citations
4.4k
Citations per work
15.7
h-index
36
i10-index 135Top 3.1% in Computer Vision and Pattern Recognition
Vikrant Bhateja

What does Vikrant Bhateja research?

Vikrant Bhateja's work is mostly in Computer Science (45%), Engineering (20%), Medicine (4%).

Physical Sciences: 182 works · 64.9% of their workComputer Science: 126 works · 45.0% of their workComputer Vision and Pattern Recognition: 86 works · 30.7% of their workArtificial Intelligence: 31 works · 11.0% of their workInformation Systems: 9 works · 3.3% of their workEngineering: 56 works · 19.9% of their workMedia Technology: 44 works · 15.6% of their workBiomedical Engineering: 12 works · 4.3% of their workEverything else: 88 works · 31.2% of their workHealth Sciences: 11 works · 3.9% of their workMedicine: 11 works · 3.9% of their workRadiology, Nuclear Medicine and Imaging: 11 works · 3.9% of their workTHEIR WORKVikrant Bhateja281works
Physical Sciences65%Health Sciences4%

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 Science12645.0%
    2. Engineering5619.9%
  2. Everything else8831.2%
    1. Medicine113.9%
  1. 1Computer Vision and Pattern Recognition31% of their works
  2. 2Media Technology16% of their works
  3. 3Artificial Intelligence11% of their works
  4. 4Biomedical Engineering4% of their works
  5. 5Radiology, Nuclear Medicine and Imaging4% of their works
  6. 6Information Systems3% of their works

Research topics

Which keywords describe Vikrant Bhateja's research?

The keywords of their largest research topics: Deep Learning, Wavelet Transform, Convolutional Neural Networks, Sparse Representation, Hyperspectral, Remote Sensing, Image Denoising and Sparse Representations.

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 Learning2366 topics
  2. Wavelet Transform1882 topics
  3. Convolutional Neural Networks1422 topics
  4. Sparse Representation1092 topics
  5. Hyperspectral1082 topics
  6. Remote Sensing1082 topics
  7. Image Denoising991 topic
  8. Sparse Representations991 topic
  9. Image Fusion891 topic
  10. Multispectral891 topic
  11. Histopathology Images431 topic
  12. Medical Image Analysis431 topic
  13. Contrast Enhancement391 topic
  14. Dehazing391 topic
  15. Image201 topic
  16. Super-Resolution201 topic
  17. Classification191 topic
  18. Image Analysis191 topic
  19. Image Quality Assessment161 topic
  20. Perceptual Quality161 topic
  21. Brain-Computer Interfaces151 topic
  22. EEG Analysis151 topic

Where does Vikrant Bhateja work?

Vikrant Bhateja's main affiliation in the publication record is Shri Ramswaroop Memorial University, India.

How many publications and citations does Vikrant Bhateja have?

OpenAlex counts 281 works and 4,420 citations for Vikrant Bhateja, an h-index of 36, ranking #252,713 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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