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Researcher · Indian Institute of Technology Hyderabad · India

Deepak Nathani

Deepak Nathani publishes mostly in Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition, on topics such as Topic Modeling, Natural Language Processing Techniques and Text Readability and Simplification.

OpenAlex
World rank
#2,460,436
of 7,710,434 ranked researchers
Rank in India
#46,105
of 280,097
Works
21
Citations
858
Citations per work
40.9
h-index
7
i10-index 6Top 65% in Artificial Intelligence
Deepak Nathani

What does Deepak Nathani research?

Deepak Nathani's work is mostly in Computer Science (70%), Biochemistry, Genetics and Molecular Biology (8%), Decision Sciences (5%).

Physical Sciences: 15 works · 73.8% of their workComputer Science: 15 works · 70.5% of their workArtificial Intelligence: 12 works · 59.0% of their workComputer Vision and Pattern Recognition: 1 works · 6.6% of their workComputational Theory and Mathematics: 1 works · 4.9% of their workMaterials Science: 1 works · 3.3% of their workMaterials Chemistry: 1 works · 3.3% of their workEverything else: 3 works · 13.1% of their workLife Sciences: 2 works · 8.2% of their workBiochemistry, Genetics and Molecular Biology: 2 works · 8.2% of their workMolecular Biology: 2 works · 8.2% of their workSocial Sciences: 1 works · 4.9% of their workDecision Sciences: 1 works · 4.9% of their workInformation Systems and Management: 1 works · 4.9% of their workTHEIR WORKDeepak Nathani21works
Life Sciences8%Physical Sciences74%Social Sciences5%

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 Science1570.5%
    2. Materials Science13.3%
  2. Everything else313.1%
    1. Biochemistry, Genetics and Molecular Biology28.2%
    1. Decision Sciences14.9%
  1. 1Artificial Intelligence59% of their works
  2. 2Molecular Biology8% of their works
  3. 3Computer Vision and Pattern Recognition7% of their works
  4. 4Computational Theory and Mathematics5% of their works
  5. 5Information Systems and Management5% of their works
  6. 6Materials Chemistry3% of their works

Research topics

Which keywords describe Deepak Nathani's research?

The keywords of their largest research topics: Neural Networks, Machine Translation, Word Representation, Natural Language Processing, Deep Learning, Neural Machine Translation, Statistical Machine Translation and Readability Assessment.

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.

All 19 words, with their numbers
  1. Neural Networks193 topics
  2. Machine Translation111 topic
  3. Word Representation111 topic
  4. Natural Language Processing82 topics
  5. Deep Learning72 topics
  6. Neural Machine Translation71 topic
  7. Statistical Machine Translation71 topic
  8. Readability Assessment51 topic
  9. Text Simplification51 topic
  10. Graph Neural Networks41 topic
  11. Knowledge Graph Embedding41 topic
  12. Biomedical Ontologies31 topic
  13. Heuristic Search31 topic
  14. Image Captioning31 topic
  15. Planning Systems31 topic
  16. Reproducibility31 topic
  17. Scientific Workflows31 topic
  18. Text Mining31 topic
  19. Visual Question Answering31 topic

Where does Deepak Nathani work?

Deepak Nathani's main affiliation in the publication record is Indian Institute of Technology Hyderabad, India.

How many publications and citations does Deepak Nathani have?

OpenAlex counts 21 works and 858 citations for Deepak Nathani, an h-index of 7, ranking #2,460,436 of 7,710,434 researchers worldwide on the quality 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 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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