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Researcher · Universitas Mulia · Indonesia

Tina Tri Wulansari

Tina Tri Wulansari publishes mostly in Information Systems, Artificial Intelligence and Management Information Systems, on topics such as Edcuational Technology Systems, Multimedia Learning Systems and Decision Support System Applications.

OpenAlex
World rank
#7,179,809
of 7,710,434 ranked researchers
Rank in Indonesia
#118,171
of 148,020
Works
28
Citations
29
Citations per work
1.0
h-index
3
i10-index 0Top 83% in Information Systems
Tina Tri Wulansari

What does Tina Tri Wulansari research?

Tina Tri Wulansari's work is mostly in Computer Science (56%), Business, Management and Accounting (11%), Social Sciences (5%).

Physical Sciences: 16 works · 55.7% of their workComputer Science: 16 works · 55.7% of their workInformation Systems: 12 works · 41.8% of their workArtificial Intelligence: 4 works · 13.9% of their workEverything else: 6 works · 21.5% of their workSocial Sciences: 5 works · 19.0% of their workBusiness, Management and Accounting: 3 works · 11.4% of their workManagement Information Systems: 3 works · 11.4% of their workSocial Sciences: 1 works · 5.1% of their workEducation: 1 works · 5.1% of their workEconomics, Econometrics and Finance: 1 works · 2.5% of their workEconomics and Econometrics: 1 works · 2.5% of their workHealth Sciences: 1 works · 3.8% of their workHealth Professions: 1 works · 3.8% of their workHealth Information Management: 1 works · 3.8% of their workTHEIR WORKTina TriWulansari28works
Physical Sciences56%Health Sciences4%Social Sciences19%

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 Science1655.7%
  2. Everything else621.5%
    1. Business, Management and Accounting311.4%
    2. Social Sciences15.1%
    3. Economics, Econometrics and Finance12.5%
    1. Health Professions13.8%
  1. 1Information Systems42% of their works
  2. 2Artificial Intelligence14% of their works
  3. 3Management Information Systems11% of their works
  4. 4Education5% of their works
  5. 5Health Information Management4% of their works
  6. 6Economics and Econometrics2% of their works

Research topics

Which keywords describe Tina Tri Wulansari's research?

The keywords of their largest research topics: Data Mining, Artificial Intelligence, E-Learning, Machine Learning, Decision Support System, Fuzzy Logic, Education and Expert Systems.

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 23 words, with their numbers
  1. Data Mining244 topics
  2. Artificial Intelligence233 topics
  3. E-Learning193 topics
  4. Machine Learning193 topics
  5. Decision Support System182 topics
  6. Fuzzy Logic182 topics
  7. Education142 topics
  8. Expert Systems101 topic
  9. Knowledge Management101 topic
  10. Learning91 topic
  11. Multimedia91 topic
  12. Information Technology81 topic
  13. Systems Analysis and Design81 topic
  14. Information Retrieval71 topic
  15. Social Network Extraction71 topic
  16. Blockchain51 topic
  17. Classification Algorithms51 topic
  18. Digital Literacy51 topic
  19. Neural Networks51 topic
  20. School Literacy Movement51 topic
  21. Technology51 topic
  22. Big Data Analytics21 topic
  23. Healthcare21 topic

Where does Tina Tri Wulansari work?

Tina Tri Wulansari's main affiliation in the publication record is Universitas Mulia, Indonesia.

How many publications and citations does Tina Tri Wulansari have?

OpenAlex counts 28 works and 29 citations for Tina Tri Wulansari, an h-index of 3, ranking #7,179,809 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.

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