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Researcher · Stornoway Diamond (Canada) · Canada

Shashi Bhushan TN

Shashi Bhushan TN publishes mostly in Artificial Intelligence, Information Systems and Management and Management Information Systems, on topics such as Topic Modeling, Natural Language Processing Techniques and Advanced Text Analysis Techniques.

OpenAlex
World rank
#3,597,283
of 7,710,434 ranked researchers
Rank in Canada
#113,403
of 183,316
Works
29
Citations
101
Citations per work
3.5
h-index
5
i10-index 4Top 82% in Artificial Intelligence
Shashi Bhushan TN

What does Shashi Bhushan TN research?

Shashi Bhushan TN's work is mostly in Computer Science (80%), Decision Sciences (10%), Business, Management and Accounting (6%).

Physical Sciences: 23 works · 80.4% of their workComputer Science: 23 works · 80.4% of their workArtificial Intelligence: 22 works · 77.0% of their workComputer Vision and Pattern Recognition: 1 works · 3.4% of their workSocial Sciences: 5 works · 16.0% of their workDecision Sciences: 3 works · 10.3% of their workInformation Systems and Management: 2 works · 5.7% of their workManagement Science and Operations Research: 1 works · 4.6% of their workBusiness, Management and Accounting: 2 works · 5.7% of their workManagement Information Systems: 2 works · 5.7% of their workEverything else: 1 works · 2.5% of their workHealth Sciences: 0 works · 1.1% of their workMedicine: 0 works · 1.1% of their workHealth Informatics: 0 works · 1.1% of their workTHEIR WORKShashi Bhushan TN29works
Physical Sciences80%Health Sciences1%Social Sciences16%

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 Science2380.4%
    1. Decision Sciences310.3%
    2. Business, Management and Accounting25.7%
  3. Everything else12.5%
    1. Medicine01.1%
  1. 1Artificial Intelligence77% of their works
  2. 2Information Systems and Management6% of their works
  3. 3Management Information Systems6% of their works
  4. 4Management Science and Operations Research5% of their works
  5. 5Computer Vision and Pattern Recognition3% of their works
  6. 6Health Informatics1% of their works

Research topics

Which keywords describe Shashi Bhushan TN's research?

The keywords of their largest research topics: Neural Networks, Information Retrieval, Text Classification, Machine Translation, Word Representation, Neural Machine Translation, Statistical Machine Translation and Automatic.

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. Neural Networks343 topics
  2. Information Retrieval282 topics
  3. Text Classification282 topics
  4. Machine Translation251 topic
  5. Word Representation251 topic
  6. Neural Machine Translation131 topic
  7. Statistical Machine Translation131 topic
  8. Automatic61 topic
  9. Extraction61 topic
  10. Acoustic Modeling51 topic
  11. Artificial Intelligence51 topic
  12. Deep Neural Networks51 topic
  13. Service Robots51 topic
  14. Data Cleaning41 topic
  15. Record Linkage41 topic
  16. Feature Selection31 topic
  17. Image Captioning31 topic
  18. Multi-label Learning31 topic
  19. Visual Question Answering31 topic

Where does Shashi Bhushan TN work?

Shashi Bhushan TN's main affiliation in the publication record is Stornoway Diamond (Canada), Canada.

How many publications and citations does Shashi Bhushan TN have?

OpenAlex counts 29 works and 101 citations for Shashi Bhushan TN, an h-index of 5, ranking #3,597,283 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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