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Researcher · Universitas Dian Nusantara · Indonesia

Bias Yulisa Geni

Bias Yulisa Geni publishes mostly in Information Systems, Management Information Systems and Artificial Intelligence, on topics such as Edcuational Technology Systems, Decision Support System Applications and Multimedia Learning Systems.

ORCID 0009-0002-7224-1623 OpenAlex
World rank
#4,672,551
of 7,710,434 ranked researchers
Rank in Indonesia
#34,723
of 148,020
Works
24
Citations
84
Citations per work
3.5
h-index
3
i10-index 3Top 83% in Information Systems
Bias Yulisa Geni

What does Bias Yulisa Geni research?

Bias Yulisa Geni's work is mostly in Computer Science (44%), Business, Management and Accounting (31%), Engineering (3%).

Physical Sciences: 11 works · 47.0% of their workComputer Science: 11 works · 44.1% of their workInformation Systems: 7 works · 27.9% of their workArtificial Intelligence: 4 works · 16.2% of their workEngineering: 1 works · 2.9% of their workIndustrial and Manufacturing Engineering: 1 works · 2.9% of their workSocial Sciences: 7 works · 30.8% of their workBusiness, Management and Accounting: 7 works · 30.8% of their workManagement Information Systems: 4 works · 17.6% of their workStrategy and Management: 2 works · 10.3% of their workOrganizational Behavior and Human Resource Management: 1 works · 2.9% of their workEverything else: 5 works · 22.2% of their workTHEIR WORKBias Yulisa Geni24works
Physical Sciences47%Social Sciences31%

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 Science1144.1%
    2. Engineering12.9%
    1. Business, Management and Accounting730.8%
  3. Everything else522.2%
  1. 1Information Systems28% of their works
  2. 2Management Information Systems18% of their works
  3. 3Artificial Intelligence16% of their works
  4. 4Strategy and Management10% of their works
  5. 5Industrial and Manufacturing Engineering3% of their works
  6. 6Organizational Behavior and Human Resource Management3% of their works

Research topics

Which keywords describe Bias Yulisa Geni's research?

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

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 24 words, with their numbers
  1. Artificial Intelligence253 topics
  2. Decision Support System222 topics
  3. Fuzzy Logic222 topics
  4. Information Technology182 topics
  5. Data Mining173 topics
  6. Machine Learning142 topics
  7. E-Learning133 topics
  8. Accounting Information System111 topic
  9. Education112 topics
  10. Expert Systems111 topic
  11. Knowledge Management111 topic
  12. Systems Analysis and Design111 topic
  13. Learning91 topic
  14. Multimedia91 topic
  15. Operations Research71 topic
  16. Production Management71 topic
  17. Classification Algorithms31 topic
  18. Information Retrieval31 topic
  19. Neural Networks31 topic
  20. Social Network Extraction31 topic
  21. Blockchain21 topic
  22. Digital Literacy21 topic
  23. School Literacy Movement21 topic
  24. Technology21 topic

Where does Bias Yulisa Geni work?

Bias Yulisa Geni's main affiliation in the publication record is Universitas Dian Nusantara, Indonesia.

How many publications and citations does Bias Yulisa Geni have?

OpenAlex counts 24 works and 84 citations for Bias Yulisa Geni, an h-index of 3, ranking #4,672,551 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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