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Researcher · Amazon (United States) · United States

Siddhant Garg

Siddhant Garg publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, on topics such as Topic Modeling, Natural Language Processing Techniques and Multimodal Machine Learning Applications.

ORCID 0009-0004-0219-511X OpenAlex
World rank
#2,482,633
of 7,710,434 ranked researchers
Rank in United States
#732,811
of 1,627,098
Works
56
Citations
546
Citations per work
9.8
h-index
9
i10-index 9Top 49% in Artificial Intelligence
Siddhant Garg

What does Siddhant Garg research?

Siddhant Garg's work is mostly in Computer Science (77%), Biochemistry, Genetics and Molecular Biology (5%), Decision Sciences (2%).

Physical Sciences: 43 works · 76.6% of their workComputer Science: 43 works · 76.6% of their workArtificial Intelligence: 30 works · 53.2% of their workComputer Vision and Pattern Recognition: 7 works · 12.7% of their workInformation Systems: 5 works · 8.2% of their workHardware and Architecture: 1 works · 2.5% of their workEverything else: 9 works · 15.8% of their workLife Sciences: 3 works · 5.1% of their workBiochemistry, Genetics and Molecular Biology: 3 works · 5.1% of their workMolecular Biology: 3 works · 5.1% of their workSocial Sciences: 1 works · 2.5% of their workDecision Sciences: 1 works · 2.5% of their workManagement Science and Operations Research: 1 works · 2.5% of their workTHEIR WORKSiddhant Garg56works
Life Sciences5%Physical Sciences77%Social 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 Science4376.6%
  2. Everything else915.8%
    1. Biochemistry, Genetics and Molecular Biology35.1%
    1. Decision Sciences12.5%
  1. 1Artificial Intelligence53% of their works
  2. 2Computer Vision and Pattern Recognition13% of their works
  3. 3Information Systems8% of their works
  4. 4Molecular Biology5% of their works
  5. 5Management Science and Operations Research2% of their works
  6. 6Hardware and Architecture2% of their works

Research topics

Which keywords describe Siddhant Garg'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 18 words, with their numbers
  1. Neural Networks392 topics
  2. Machine Translation281 topic
  3. Word Representation281 topic
  4. Neural Machine Translation231 topic
  5. Statistical Machine Translation231 topic
  6. Deep Learning152 topics
  7. Image Captioning111 topic
  8. Visual Question Answering111 topic
  9. Community Question Answering91 topic
  10. Expert Finding91 topic
  11. Markov Decision Processes51 topic
  12. Spoken Dialogue Systems51 topic
  13. Domain Adaptation41 topic
  14. Feature Matching41 topic
  15. Gene Set Enrichment Analysis41 topic
  16. Local Descriptors41 topic
  17. Protein-Protein Interaction Networks41 topic
  18. Transfer Learning41 topic

Where does Siddhant Garg work?

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

How many publications and citations does Siddhant Garg have?

OpenAlex counts 56 works and 546 citations for Siddhant Garg, an h-index of 9, ranking #2,482,633 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

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