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Researcher · Indian Statistical Institute · India

Niladri Sekhar Dash

Niladri Sekhar Dash publishes mostly in Artificial Intelligence, Language and Linguistics and Political Science and International Relations, on topics such as Natural Language Processing Techniques, Topic Modeling and Text and Document Classification Technologies.

ORCID 0000-0001-6465-671X OpenAlex
World rank
#4,259,585
of 7,710,434 ranked researchers
Rank in India
#105,533
of 280,097
Works
127
Citations
733
Citations per work
5.8
h-index
14
i10-index 20Top 25% in Artificial Intelligence
Niladri Sekhar Dash

What does Niladri Sekhar Dash research?

Niladri Sekhar Dash's work is mostly in Computer Science (60%), Arts and Humanities (18%), Psychology (4%).

Physical Sciences: 76 works · 59.9% of their workComputer Science: 76 works · 59.9% of their workArtificial Intelligence: 68 works · 53.5% of their workInformation Systems: 4 works · 3.4% of their workComputer Vision and Pattern Recognition: 4 works · 3.0% of their workSocial Sciences: 34 works · 27.0% of their workArts and Humanities: 23 works · 18.2% of their workLanguage and Linguistics: 23 works · 18.2% of their workPsychology: 6 works · 4.4% of their workDevelopmental and Educational Psychology: 6 works · 4.4% of their workSocial Sciences: 6 works · 4.4% of their workPolitical Science and International Relations: 6 works · 4.4% of their workEverything else: 17 works · 13.1% of their workTHEIR WORKNiladri SekharDash127works
Physical Sciences60%Social Sciences27%

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 Science7659.9%
    1. Arts and Humanities2318.2%
    2. Psychology64.4%
    3. Social Sciences64.4%
  3. Everything else1713.1%
  1. 1Artificial Intelligence54% of their works
  2. 2Language and Linguistics18% of their works
  3. 3Political Science and International Relations4% of their works
  4. 4Developmental and Educational Psychology4% of their works
  5. 5Information Systems3% of their works
  6. 6Computer Vision and Pattern Recognition3% of their works

Research topics

Which keywords describe Niladri Sekhar Dash's research?

The keywords of their largest research topics: Corpus Linguistics, Neural Machine Translation, Statistical Machine Translation, Information Retrieval, Text Classification, Machine Translation, Neural Networks and Semantic Similarity.

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 21 words, with their numbers
  1. Corpus Linguistics923 topics
  2. Neural Machine Translation681 topic
  3. Statistical Machine Translation681 topic
  4. Information Retrieval442 topics
  5. Text Classification442 topics
  6. Machine Translation372 topics
  7. Neural Networks372 topics
  8. Semantic Similarity241 topic
  9. Word Representation241 topic
  10. Feature Selection201 topic
  11. Multi-label Learning201 topic
  12. Dictionaries161 topic
  13. Lexicography161 topic
  14. Automatic131 topic
  15. Extraction131 topic
  16. Translation131 topic
  17. Translator Competence131 topic
  18. Second Language Learning111 topic
  19. Vocabulary Acquisition111 topic
  20. Markov Decision Processes81 topic
  21. Spoken Dialogue Systems81 topic

Where does Niladri Sekhar Dash work?

Niladri Sekhar Dash's main affiliation in the publication record is Indian Statistical Institute, India.

How many publications and citations does Niladri Sekhar Dash have?

OpenAlex counts 127 works and 733 citations for Niladri Sekhar Dash, an h-index of 14, ranking #4,259,585 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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