Science Explorer Back to mapMap
Discussion
Researcher · Amazon (United States) · United States

Parminder Bhatia

Parminder Bhatia publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology, on topics such as Topic Modeling, Natural Language Processing Techniques and Multimodal Machine Learning Applications.

ORCID 0000-0002-0038-5081 OpenAlex
World rank
#2,496,281
of 7,710,434 ranked researchers
Rank in United States
#736,249
of 1,627,098
Works
94
Citations
785
Citations per work
8.4
h-index
14
i10-index 21Top 25% in Artificial Intelligence
Parminder Bhatia

What does Parminder Bhatia research?

Parminder Bhatia's work is mostly in Computer Science (79%), Biochemistry, Genetics and Molecular Biology (7%), Medicine (2%).

Physical Sciences: 74 works · 79.2% of their workComputer Science: 74 works · 79.2% of their workArtificial Intelligence: 54 works · 57.9% of their workComputer Vision and Pattern Recognition: 14 works · 15.0% of their workInformation Systems: 4 works · 4.3% of their workComputer Networks and Communications: 2 works · 2.0% of their workEverything else: 12 works · 12.5% of their workLife Sciences: 6 works · 6.7% of their workBiochemistry, Genetics and Molecular Biology: 6 works · 6.7% of their workMolecular Biology: 6 works · 6.7% of their workHealth Sciences: 2 works · 1.6% of their workMedicine: 2 works · 1.6% of their workRadiology, Nuclear Medicine and Imaging: 2 works · 1.6% of their workTHEIR WORKParminder Bhatia94works
Life Sciences7%Physical Sciences79%Health Sciences2%

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 Science7479.2%
  2. Everything else1212.5%
    1. Biochemistry, Genetics and Molecular Biology66.7%
    1. Medicine21.6%
  1. 1Artificial Intelligence58% of their works
  2. 2Computer Vision and Pattern Recognition15% of their works
  3. 3Molecular Biology7% of their works
  4. 4Information Systems4% of their works
  5. 5Computer Networks and Communications2% of their works
  6. 6Radiology, Nuclear Medicine and Imaging2% of their works

Research topics

Which keywords describe Parminder Bhatia's research?

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

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 19 words, with their numbers
  1. Neural Networks702 topics
  2. Machine Translation501 topic
  3. Word Representation501 topic
  4. Neural Machine Translation411 topic
  5. Statistical Machine Translation411 topic
  6. Deep Learning272 topics
  7. Image Captioning201 topic
  8. Visual Question Answering201 topic
  9. Biomedical Ontologies151 topic
  10. Text Mining151 topic
  11. Convolutional Neural Networks142 topics
  12. Domain Adaptation91 topic
  13. Transfer Learning91 topic
  14. Code Clone Detection81 topic
  15. Refactoring81 topic
  16. Acoustic Modeling71 topic
  17. Deep Neural Networks71 topic
  18. Image Recognition71 topic
  19. Object Detection71 topic

Where does Parminder Bhatia work?

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

How many publications and citations does Parminder Bhatia have?

OpenAlex counts 94 works and 785 citations for Parminder Bhatia, an h-index of 14, ranking #2,496,281 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

Ask a question or share a note about Parminder Bhatia. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.