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Researcher · Stanford University · United States

Paroma Varma

Paroma Varma publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, on topics such as Topic Modeling, Domain Adaptation and Few-Shot Learning and Machine Learning and Data Classification.

ORCID 0000-0002-9035-2506 OpenAlex
World rank
#2,122,884
of 7,710,434 ranked researchers
Rank in United States
#639,964
of 1,627,098
Works
41
Citations
3.4k
Citations per work
81.8
h-index
16
i10-index 17Top 20% in Artificial Intelligence
Paroma Varma

What does Paroma Varma research?

Paroma Varma's work is mostly in Computer Science (53%), Biochemistry, Genetics and Molecular Biology (4%), Neuroscience (4%).

Physical Sciences: 22 works · 52.6% of their workComputer Science: 22 works · 52.6% of their workArtificial Intelligence: 15 works · 36.8% of their workComputer Vision and Pattern Recognition: 5 works · 11.4% of their workInformation Systems: 2 works · 4.4% of their workEverything else: 14 works · 35.1% of their workLife Sciences: 4 works · 8.8% of their workBiochemistry, Genetics and Molecular Biology: 2 works · 4.4% of their workBiophysics: 2 works · 4.4% of their workNeuroscience: 2 works · 4.4% of their workCognitive Neuroscience: 2 works · 4.4% of their workHealth Sciences: 1 works · 3.5% of their workMedicine: 1 works · 3.5% of their workCardiology and Cardiovascular Medicine: 1 works · 3.5% of their workTHEIR WORKParoma Varma41works
Life Sciences9%Physical Sciences53%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 Science2252.6%
  2. Everything else1435.1%
    1. Biochemistry, Genetics and Molecular Biology24.4%
    2. Neuroscience24.4%
    1. Medicine13.5%
  1. 1Artificial Intelligence37% of their works
  2. 2Computer Vision and Pattern Recognition11% of their works
  3. 3Information Systems4% of their works
  4. 4Cognitive Neuroscience4% of their works
  5. 5Biophysics4% of their works
  6. 6Cardiology and Cardiovascular Medicine4% of their works

Research topics

Which keywords describe Paroma Varma's research?

The keywords of their largest research topics: Meta-Learning, Neural Networks, Deep Learning, Domain Adaptation, Hyperparameter Optimization, Machine Translation, Noisy Labels and Transfer Learning.

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 19 words, with their numbers
  1. Meta-Learning162 topics
  2. Neural Networks152 topics
  3. Deep Learning112 topics
  4. Domain Adaptation81 topic
  5. Hyperparameter Optimization81 topic
  6. Machine Translation81 topic
  7. Noisy Labels81 topic
  8. Transfer Learning81 topic
  9. Word Representation81 topic
  10. Image Captioning71 topic
  11. Visual Question Answering71 topic
  12. Neural Machine Translation51 topic
  13. Statistical Machine Translation51 topic
  14. Histopathology Images41 topic
  15. Medical Image Analysis41 topic
  16. Phase Retrieval41 topic
  17. Surgical Aortic-Valve Replacement41 topic
  18. Transcatheter Aortic-Valve Replacement41 topic
  19. X-ray Imaging41 topic

Where does Paroma Varma work?

Paroma Varma's main affiliation in the publication record is Stanford University, United States.

How many publications and citations does Paroma Varma have?

OpenAlex counts 41 works and 3,352 citations for Paroma Varma, an h-index of 16, ranking #2,122,884 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.

Discussion

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