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Researcher · Thomson Reuters (United States) · United States

Sameena Shah

Sameena Shah publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research, on topics such as Topic Modeling, Natural Language Processing Techniques and Advanced Text Analysis Techniques.

ORCID 0000-0002-8236-6465 OpenAlex
World rank
#612,835
of 7,710,434 ranked researchers
Rank in United States
#209,841
of 1,627,098
Works
85
Citations
1.4k
Citations per work
16.8
h-index
18
i10-index 28Top 16% in Artificial Intelligence
Sameena Shah

What does Sameena Shah research?

Sameena Shah's work is mostly in Computer Science (58%), Decision Sciences (6%), Physics and Astronomy (5%).

Physical Sciences: 54 works · 63.5% of their workComputer Science: 50 works · 58.4% of their workArtificial Intelligence: 39 works · 45.3% of their workComputer Vision and Pattern Recognition: 6 works · 7.2% of their workInformation Systems: 5 works · 5.9% of their workPhysics and Astronomy: 4 works · 5.1% of their workStatistical and Nonlinear Physics: 4 works · 5.1% of their workEverything else: 21 works · 25.0% of their workSocial Sciences: 10 works · 11.5% of their workDecision Sciences: 5 works · 6.4% of their workManagement Science and Operations Research: 5 works · 6.4% of their workSocial Sciences: 4 works · 5.1% of their workSociology and Political Science: 4 works · 5.1% of their workTHEIR WORKSameena Shah85works
Physical Sciences64%Social Sciences12%

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 Science5058.4%
    2. Physics and Astronomy45.1%
  2. Everything else2125.0%
    1. Decision Sciences56.4%
    2. Social Sciences45.1%
  1. 1Artificial Intelligence45% of their works
  2. 2Computer Vision and Pattern Recognition7% of their works
  3. 3Management Science and Operations Research6% of their works
  4. 4Information Systems6% of their works
  5. 5Statistical and Nonlinear Physics5% of their works
  6. 6Sociology and Political Science5% of their works

Research topics

Which keywords describe Sameena Shah's research?

The keywords of their largest research topics: Neural Networks, Machine Translation, Word Representation, Deep Learning, Sentiment Analysis, Automatic, Extraction and Neural Machine Translation.

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 20 words, with their numbers
  1. Neural Networks563 topics
  2. Machine Translation291 topic
  3. Word Representation291 topic
  4. Deep Learning182 topics
  5. Sentiment Analysis182 topics
  6. Automatic171 topic
  7. Extraction171 topic
  8. Neural Machine Translation171 topic
  9. Statistical Machine Translation171 topic
  10. Social Media162 topics
  11. Community Structure101 topic
  12. Network Dynamics101 topic
  13. Stock Market Prediction101 topic
  14. Time Series Forecasting101 topic
  15. Fake News81 topic
  16. Misinformation81 topic
  17. Opinion Mining81 topic
  18. Text Mining81 topic
  19. Interpretable Models71 topic
  20. Machine Learning Interpretability71 topic

Where does Sameena Shah work?

Sameena Shah's main affiliation in the publication record is Thomson Reuters (United States), United States.

How many publications and citations does Sameena Shah have?

OpenAlex counts 85 works and 1,430 citations for Sameena Shah, an h-index of 18, ranking #612,835 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.

Other researchers named Sameena Shah

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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