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Researcher · Amazon (United States) · United States

Vimal Bhat

Vimal Bhat publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, on topics such as Multimodal Machine Learning Applications, Natural Language Processing Techniques and Speech Recognition and Synthesis.

OpenAlex
World rank
#2,970,312
of 7,710,434 ranked researchers
Rank in United States
#854,114
of 1,627,098
Works
37
Citations
119
Citations per work
3.2
h-index
5
i10-index 3Top 87% in Computer Vision and Pattern Recognition
Vimal Bhat

What does Vimal Bhat research?

Vimal Bhat's work is mostly in Computer Science (89%), Neuroscience (2%), Biochemistry, Genetics and Molecular Biology (1%).

Physical Sciences: 33 works · 88.9% of their workComputer Science: 33 works · 88.9% of their workComputer Vision and Pattern Recognition: 18 works · 47.5% of their workArtificial Intelligence: 12 works · 33.3% of their workSignal Processing: 2 works · 6.1% of their workHuman-Computer Interaction: 1 works · 2.0% of their workEverything else: 3 works · 8.1% of their workLife Sciences: 1 works · 3.0% of their workNeuroscience: 1 works · 2.0% of their workCognitive Neuroscience: 1 works · 2.0% of their workBiochemistry, Genetics and Molecular Biology: 0 works · 1.0% of their workMolecular Biology: 0 works · 1.0% of their workTHEIR WORKVimal Bhat37works
Life Sciences3%Physical Sciences89%

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 Science3388.9%
  2. Everything else38.1%
    1. Neuroscience12.0%
    2. Biochemistry, Genetics and Molecular Biology01.0%
  1. 1Computer Vision and Pattern Recognition48% of their works
  2. 2Artificial Intelligence33% of their works
  3. 3Signal Processing6% of their works
  4. 4Cognitive Neuroscience2% of their works
  5. 5Human-Computer Interaction2% of their works
  6. 6Molecular Biology1% of their works

Research topics

Which keywords describe Vimal Bhat's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Image Captioning, Visual Question Answering, Representation Learning, Unsupervised Learning, Neural Machine Translation and Statistical Machine Translation.

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 20 words, with their numbers
  1. Deep Learning273 topics
  2. Neural Networks192 topics
  3. Image Captioning131 topic
  4. Visual Question Answering131 topic
  5. Representation Learning122 topics
  6. Unsupervised Learning122 topics
  7. Neural Machine Translation111 topic
  8. Statistical Machine Translation111 topic
  9. Acoustic Modeling101 topic
  10. Deep Neural Networks101 topic
  11. Content-Based Retrieval91 topic
  12. Video Summarization91 topic
  13. Action Recognition81 topic
  14. Pose Estimation81 topic
  15. Domain Adaptation61 topic
  16. Generative Adversarial Networks61 topic
  17. Image Synthesis61 topic
  18. Transfer Learning61 topic
  19. Ontology31 topic
  20. Semantic Web31 topic

Where does Vimal Bhat work?

Vimal Bhat's main affiliation in the publication record is Amazon (United States), United States.

How many publications and citations does Vimal Bhat have?

OpenAlex counts 37 works and 119 citations for Vimal Bhat, an h-index of 5, ranking #2,970,312 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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