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Researcher · Amazon (United States) · United States

Aishwarya Padmakumar

Aishwarya Padmakumar publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Civil and Structural Engineering, on topics such as Topic Modeling, Multimodal Machine Learning Applications and Speech and dialogue systems.

OpenAlex
World rank
#2,314,169
of 7,710,434 ranked researchers
Rank in United States
#689,708
of 1,627,098
Works
34
Citations
325
Citations per work
9.6
h-index
10
i10-index 10Top 42% in Artificial Intelligence
Aishwarya Padmakumar

What does Aishwarya Padmakumar research?

Aishwarya Padmakumar's work is mostly in Computer Science (89%), Engineering (6%).

Physical Sciences: 33 works · 95.8% of their workComputer Science: 30 works · 89.3% of their workArtificial Intelligence: 22 works · 64.5% of their workComputer Vision and Pattern Recognition: 8 works · 22.6% of their workInformation Systems: 1 works · 2.2% of their workEngineering: 2 works · 6.5% of their workCivil and Structural Engineering: 1 works · 3.2% of their workAutomotive Engineering: 1 works · 2.2% of their workMechanical Engineering: 0 works · 1.1% of their workEverything else: 1 works · 4.2% of their workTHEIR WORKAishwaryaPadmakumar34works
Physical Sciences96%

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 Science3089.3%
    2. Engineering26.5%
  2. Everything else14.2%
  1. 1Artificial Intelligence64% of their works
  2. 2Computer Vision and Pattern Recognition23% of their works
  3. 3Civil and Structural Engineering3% of their works
  4. 4Information Systems2% of their works
  5. 5Automotive Engineering2% of their works
  6. 6Mechanical Engineering1% of their works

Research topics

Which keywords describe Aishwarya Padmakumar's research?

The keywords of their largest research topics: Neural Networks, Machine Translation, Word Representation, Deep Learning, Image Captioning, Visual Question Answering, Markov Decision Processes and Spoken Dialogue Systems.

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 Networks362 topics
  2. Machine Translation211 topic
  3. Word Representation211 topic
  4. Deep Learning202 topics
  5. Image Captioning151 topic
  6. Visual Question Answering151 topic
  7. Markov Decision Processes121 topic
  8. Spoken Dialogue Systems121 topic
  9. Neural Machine Translation101 topic
  10. Statistical Machine Translation101 topic
  11. Active Learning51 topic
  12. Deep Neural Networks52 topics
  13. Machine Learning51 topic
  14. Interpretable Models31 topic
  15. Machine Learning Interpretability31 topic
  16. Acoustic Modeling21 topic
  17. Compression21 topic
  18. Speaker Verification21 topic
  19. Suffix Arrays21 topic

Where does Aishwarya Padmakumar work?

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

How many publications and citations does Aishwarya Padmakumar have?

OpenAlex counts 34 works and 325 citations for Aishwarya Padmakumar, an h-index of 10, ranking #2,314,169 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.

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