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Researcher · Polytechnic University of the Philippines · Philippines

Ria A. Sagum

Ria A. Sagum publishes mostly in Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, on topics such as Natural Language Processing Techniques, Topic Modeling and Text and Document Classification Technologies.

ORCID 0000-0002-7343-5297 OpenAlex
World rank
#6,780,079
of 7,710,434 ranked researchers
Rank in Philippines
#5,245
of 6,138
Works
37
Citations
55
Citations per work
1.5
h-index
4
i10-index 0Top 90% in Artificial Intelligence
Ria A. Sagum

What does Ria A. Sagum research?

Ria A. Sagum's work is mostly in Computer Science (72%), Arts and Humanities (3%), Business, Management and Accounting (3%).

Physical Sciences: 27 works · 72.0% of their workComputer Science: 27 works · 72.0% of their workArtificial Intelligence: 22 works · 59.0% of their workInformation Systems: 3 works · 9.0% of their workComputer Vision and Pattern Recognition: 1 works · 4.0% of their workEverything else: 7 works · 20.0% of their workSocial Sciences: 3 works · 8.0% of their workArts and Humanities: 1 works · 3.0% of their workLanguage and Linguistics: 1 works · 3.0% of their workBusiness, Management and Accounting: 1 works · 3.0% of their workManagement Information Systems: 1 works · 3.0% of their workSocial Sciences: 1 works · 2.0% of their workPolitical Science and International Relations: 1 works · 2.0% of their workTHEIR WORKRia A. Sagum37works
Physical Sciences72%Social Sciences8%

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 Science2772.0%
  2. Everything else720.0%
    1. Arts and Humanities13.0%
    2. Business, Management and Accounting13.0%
    3. Social Sciences12.0%
  1. 1Artificial Intelligence59% of their works
  2. 2Information Systems9% of their works
  3. 3Computer Vision and Pattern Recognition4% of their works
  4. 4Management Information Systems3% of their works
  5. 5Language and Linguistics3% of their works
  6. 6Political Science and International Relations2% of their works

Research topics

Which keywords describe Ria A. Sagum's research?

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

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. Information Retrieval193 topics
  2. Text Classification162 topics
  3. Neural Networks152 topics
  4. Machine Translation121 topic
  5. Neural Machine Translation121 topic
  6. Statistical Machine Translation121 topic
  7. Word Representation121 topic
  8. Feature Selection41 topic
  9. Multi-label Learning41 topic
  10. Acoustic Modeling31 topic
  11. Automatic31 topic
  12. Deep Neural Networks31 topic
  13. Extraction31 topic
  14. Markov Decision Processes31 topic
  15. Opinion Mining31 topic
  16. Sentiment Analysis31 topic
  17. Spoken Dialogue Systems31 topic
  18. Web Crawling31 topic
  19. Web Data Extraction31 topic

Where does Ria A. Sagum work?

Ria A. Sagum's main affiliation in the publication record is Polytechnic University of the Philippines, Philippines.

How many publications and citations does Ria A. Sagum have?

OpenAlex counts 37 works and 55 citations for Ria A. Sagum, an h-index of 4, ranking #6,780,079 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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