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Researcher · Amazon (United States) · United States

Yogesh S. Virkar

Yogesh S. Virkar publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, on topics such as Natural Language Processing Techniques, Speech Recognition and Synthesis and Music and Audio Processing.

OpenAlex
World rank
#3,351,627
of 7,710,434 ranked researchers
Rank in United States
#944,869
of 1,627,098
Works
25
Citations
549
Citations per work
22.0
h-index
10
i10-index 10Top 42% in Artificial Intelligence
Yogesh S. Virkar

What does Yogesh S. Virkar research?

Yogesh S. Virkar's work is mostly in Computer Science (70%), Physics and Astronomy (8%), Arts and Humanities (8%).

Physical Sciences: 20 works · 79.0% of their workComputer Science: 18 works · 70.5% of their workArtificial Intelligence: 11 works · 43.7% of their workComputer Vision and Pattern Recognition: 4 works · 14.1% of their workSignal Processing: 3 works · 12.7% of their workPhysics and Astronomy: 2 works · 8.5% of their workStatistical and Nonlinear Physics: 2 works · 8.5% of their workSocial Sciences: 2 works · 8.5% of their workArts and Humanities: 2 works · 8.5% of their workLanguage and Linguistics: 2 works · 8.5% of their workEverything else: 2 works · 8.3% of their workLife Sciences: 1 works · 4.2% of their workNeuroscience: 1 works · 4.2% of their workCognitive Neuroscience: 1 works · 4.2% of their workTHEIR WORKYogesh S. Virkar25works
Life Sciences4%Physical Sciences79%Social Sciences8%

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 Science1870.5%
    2. Physics and Astronomy28.5%
    1. Arts and Humanities28.5%
  3. Everything else28.3%
    1. Neuroscience14.2%
  1. 1Artificial Intelligence44% of their works
  2. 2Computer Vision and Pattern Recognition14% of their works
  3. 3Signal Processing13% of their works
  4. 4Language and Linguistics8% of their works
  5. 5Statistical and Nonlinear Physics8% of their works
  6. 6Cognitive Neuroscience4% of their works

Research topics

Which keywords describe Yogesh S. Virkar's research?

The keywords of their largest research topics: Convolutional Neural Networks, Neural Machine Translation, Statistical Machine Translation, Deep Learning, Neural Networks, Acoustic Modeling, Deep Neural Networks and Audio Signal Classification.

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. Convolutional Neural Networks162 topics
  2. Neural Machine Translation141 topic
  3. Statistical Machine Translation141 topic
  4. Deep Learning132 topics
  5. Neural Networks102 topics
  6. Acoustic Modeling91 topic
  7. Deep Neural Networks91 topic
  8. Audio Signal Classification71 topic
  9. Music Information Retrieval71 topic
  10. Image Captioning61 topic
  11. Visual Question Answering61 topic
  12. Language Learning51 topic
  13. Subtitling51 topic
  14. Machine Translation41 topic
  15. Word Representation41 topic
  16. Cortical Networks31 topic
  17. Markov Decision Processes31 topic
  18. Neuronal Oscillations31 topic
  19. Spoken Dialogue Systems31 topic

Where does Yogesh S. Virkar work?

Yogesh S. Virkar's main affiliation in the publication record is Amazon (United States), United States.

How many publications and citations does Yogesh S. Virkar have?

OpenAlex counts 25 works and 549 citations for Yogesh S. Virkar, an h-index of 10, ranking #3,351,627 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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