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Researcher · Universitas Islam Negeri Sultan Syarif Kasim Riau · Indonesia

Lola Oktavia

Lola Oktavia publishes mostly in Information Systems, Artificial Intelligence and Management Information Systems, on topics such as Data Mining and Machine Learning Applications, Edcuational Technology Systems and Multimedia Learning Systems.

OpenAlex
World rank
#7,415,440
of 7,710,434 ranked researchers
Rank in Indonesia
#131,423
of 148,020
Works
31
Citations
47
Citations per work
1.5
h-index
4
i10-index 0Top 69% in Information Systems
Lola Oktavia

What does Lola Oktavia research?

Lola Oktavia's work is mostly in Computer Science (67%), Business, Management and Accounting (11%), Health Professions (6%).

Physical Sciences: 21 works · 66.7% of their workComputer Science: 21 works · 66.7% of their workInformation Systems: 12 works · 39.5% of their workArtificial Intelligence: 8 works · 27.2% of their workHealth Sciences: 3 works · 11.1% of their workHealth Professions: 2 works · 6.2% of their workHealth Information Management: 2 works · 6.2% of their workMedicine: 2 works · 4.9% of their workPediatrics, Perinatology and Child Health: 2 works · 4.9% of their workSocial Sciences: 3 works · 11.1% of their workBusiness, Management and Accounting: 3 works · 11.1% of their workManagement Information Systems: 2 works · 7.4% of their workStrategy and Management: 1 works · 3.7% of their workEverything else: 3 works · 11.1% of their workTHEIR WORKLola Oktavia31works
Physical Sciences67%Health Sciences11%Social Sciences11%

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 Science2166.7%
    1. Health Professions26.2%
    2. Medicine24.9%
    1. Business, Management and Accounting311.1%
  4. Everything else311.1%
  1. 1Information Systems40% of their works
  2. 2Artificial Intelligence27% of their works
  3. 3Management Information Systems7% of their works
  4. 4Health Information Management6% of their works
  5. 5Pediatrics, Perinatology and Child Health5% of their works
  6. 6Strategy and Management4% of their works

Research topics

Which keywords describe Lola Oktavia's research?

The keywords of their largest research topics: Data Mining, Artificial Intelligence, Machine Learning, Decision Support System, Fuzzy Logic, Classification Algorithms, Neural Networks 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.

All 22 words, with their numbers
  1. Data Mining424 topics
  2. Artificial Intelligence403 topics
  3. Machine Learning243 topics
  4. Decision Support System222 topics
  5. Fuzzy Logic222 topics
  6. Classification Algorithms181 topic
  7. Neural Networks181 topic
  8. Expert Systems171 topic
  9. Knowledge Management171 topic
  10. Information Technology82 topics
  11. Learning61 topic
  12. Multimedia61 topic
  13. Accounting Information System51 topic
  14. Systems Analysis and Design51 topic
  15. Information Retrieval41 topic
  16. Maternal Health41 topic
  17. Social Network Extraction41 topic
  18. Stunting41 topic
  19. Big Data Analytics31 topic
  20. Healthcare31 topic
  21. Operations Research31 topic
  22. Production Management31 topic

Where does Lola Oktavia work?

Lola Oktavia's main affiliation in the publication record is Universitas Islam Negeri Sultan Syarif Kasim Riau, Indonesia.

How many publications and citations does Lola Oktavia have?

OpenAlex counts 31 works and 47 citations for Lola Oktavia, an h-index of 4, ranking #7,415,440 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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