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Researcher · InterDigital (United States) · United States

Rahul Vanam

Rahul Vanam publishes mostly in Computer Vision and Pattern Recognition, Signal Processing and Sociology and Political Science, on topics such as Video Coding and Compression Technologies, Image and Video Quality Assessment and Advanced Data Compression Techniques.

OpenAlex
World rank
#5,441,328
of 7,710,434 ranked researchers
Rank in United States
#1,376,396
of 1,627,098
Works
35
Citations
350
Citations per work
10.0
h-index
10
i10-index 10Top 45% in Computer Vision and Pattern Recognition
Rahul Vanam

What does Rahul Vanam research?

Rahul Vanam's work is mostly in Computer Science (86%), Neuroscience (3%), Engineering (3%).

Physical Sciences: 32 works · 90.4% of their workComputer Science: 30 works · 85.6% of their workComputer Vision and Pattern Recognition: 21 works · 60.6% of their workSignal Processing: 9 works · 25.0% of their workEngineering: 1 works · 2.9% of their workComputational Mechanics: 1 works · 2.9% of their workPhysics and Astronomy: 1 works · 1.9% of their workAtomic and Molecular Physics, and Optics: 1 works · 1.9% of their workEverything else: 1 works · 3.8% of their workLife Sciences: 1 works · 2.9% of their workNeuroscience: 1 works · 2.9% of their workCognitive Neuroscience: 1 works · 2.9% of their workSocial Sciences: 1 works · 2.9% of their workSocial Sciences: 1 works · 2.9% of their workSociology and Political Science: 1 works · 2.9% of their workTHEIR WORKRahul Vanam35works
Life Sciences3%Physical Sciences90%Social Sciences3%

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 Science3085.6%
    2. Engineering12.9%
    3. Physics and Astronomy11.9%
  2. Everything else13.8%
    1. Neuroscience12.9%
    1. Social Sciences12.9%
  1. 1Computer Vision and Pattern Recognition61% of their works
  2. 2Signal Processing25% of their works
  3. 3Sociology and Political Science3% of their works
  4. 4Cognitive Neuroscience3% of their works
  5. 5Computational Mechanics3% of their works
  6. 6Atomic and Molecular Physics, and Optics2% of their works

Research topics

Which keywords describe Rahul Vanam's research?

The keywords of their largest research topics: Deep Learning, Video Coding, H.264/AVC, High Efficiency Video Coding (HEVC), Convolutional Networks, Image Quality Assessment, Perceptual Quality and Hyperspectral Imaging.

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 Learning546 topics
  2. Video Coding362 topics
  3. H.264/AVC221 topic
  4. High Efficiency Video Coding (HEVC)221 topic
  5. Convolutional Networks202 topics
  6. Image Quality Assessment201 topic
  7. Perceptual Quality201 topic
  8. Hyperspectral Imaging172 topics
  9. JPEG2000141 topic
  10. Wavelet Compression141 topic
  11. Depth Estimation131 topic
  12. Stereo Vision131 topic
  13. Neural Networks112 topics
  14. Image71 topic
  15. Super-Resolution71 topic
  16. Contrast Enhancement61 topic
  17. Dehazing61 topic
  18. Audio-Visual Speech Recognition41 topic
  19. Speech Enhancement41 topic
  20. Image Denoising31 topic
  21. Sparse Representations31 topic

Where does Rahul Vanam work?

Rahul Vanam's main affiliation in the publication record is InterDigital (United States), United States.

How many publications and citations does Rahul Vanam have?

OpenAlex counts 35 works and 350 citations for Rahul Vanam, an h-index of 10, ranking #5,441,328 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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