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Anirudh Raju

Anirudh Raju publishes mostly in Artificial Intelligence and Signal Processing, on topics such as Speech Recognition and Synthesis, Topic Modeling and Natural Language Processing Techniques.

World rank
#992,027
of 1,633,909 ranked researchers
Rank in United States
#262,629
of 358,040
Works
19
Citations
49
Citations per work
2.6

What does Anirudh Raju research?

Artificial Intelligence: 95.7%Signal Processing: 4.3%96%top field
Artificial Intelligence95.7%Signal Processing4.3%

Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.

  1. 1Artificial Intelligence96% of their works
  2. 2Signal Processing4% of their works

Research topics

Which keywords describe Anirudh Raju's research?

The keywords of their largest research topics: Acoustic Modeling, Deep Neural Networks, Neural Networks, Machine Translation, Word Representation, Neural Machine Translation, Statistical Machine Translation and Markov Decision Processes.

Size is their works in the topics tagged with each word, from their 7 largest topics. Each links to the topic it comes from most.

All 15 words, with their numbers
  1. Acoustic Modeling71 topic
  2. Deep Neural Networks71 topic
  3. Neural Networks72 topics
  4. Machine Translation61 topic
  5. Word Representation61 topic
  6. Neural Machine Translation51 topic
  7. Statistical Machine Translation51 topic
  8. Markov Decision Processes21 topic
  9. Spoken Dialogue Systems21 topic
  10. Artificial Intelligence11 topic
  11. Audio-Visual Speech Recognition11 topic
  12. Domain Adaptation11 topic
  13. Service Robots11 topic
  14. Speech Enhancement11 topic
  15. Transfer Learning11 topic

Where does Anirudh Raju work?

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

How many publications and citations does Anirudh Raju have?

Science Explorer counts 19 works and 49 citations for Anirudh Raju, ranking #992,027 of 1,633,909 researchers worldwide on the composite 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 are in the interactive view on the map. Is this your page? Request a correction or removal.