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Researcher · Jakarta State Polytechnic · Indonesia

Mailia Putri Utami

Mailia Putri Utami publishes mostly in Information Systems, Artificial Intelligence and Demography, on topics such as Edcuational Technology Systems, Multimedia Learning Systems and Information Retrieval and Data Mining.

OpenAlex
World rank
#5,127,377
of 7,710,434 ranked researchers
Rank in Indonesia
#43,950
of 148,020
Works
15
Citations
35
Citations per work
2.3
h-index
3
i10-index 1Top 83% in Information Systems
Mailia Putri Utami

What does Mailia Putri Utami research?

Mailia Putri Utami's work is mostly in Computer Science (66%), Business, Management and Accounting (15%), Social Sciences (10%).

Physical Sciences: 10 works · 68.2% of their workComputer Science: 10 works · 65.8% of their workInformation Systems: 6 works · 39.0% of their workArtificial Intelligence: 4 works · 26.8% of their workEnergy: 0 works · 2.4% of their workRenewable Energy, Sustainability and the Environment: 0 works · 2.4% of their workSocial Sciences: 4 works · 24.5% of their workBusiness, Management and Accounting: 2 works · 14.7% of their workStrategy and Management: 1 works · 9.8% of their workManagement Information Systems: 1 works · 4.9% of their workSocial Sciences: 1 works · 9.8% of their workDemography: 1 works · 9.8% of their workEverything else: 1 works · 7.3% of their workTHEIR WORKMailia PutriUtami15works
Physical Sciences68%Social Sciences24%

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 Science1065.8%
    2. Energy02.4%
    1. Business, Management and Accounting214.7%
    2. Social Sciences19.8%
  3. Everything else17.3%
  1. 1Information Systems39% of their works
  2. 2Artificial Intelligence27% of their works
  3. 3Demography10% of their works
  4. 4Strategy and Management10% of their works
  5. 5Management Information Systems5% of their works
  6. 6Renewable Energy, Sustainability and the Environment2% of their works

Research topics

Which keywords describe Mailia Putri Utami's research?

The keywords of their largest research topics: Data Mining, Machine Learning, Artificial Intelligence, E-commerce, Big Data, E-Learning, Education and Decision Support 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 23 words, with their numbers
  1. Data Mining143 topics
  2. Machine Learning143 topics
  3. Artificial Intelligence92 topics
  4. E-commerce92 topics
  5. Big Data82 topics
  6. E-Learning82 topics
  7. Education82 topics
  8. Decision Support System61 topic
  9. Expert Systems61 topic
  10. Information Retrieval51 topic
  11. Learning51 topic
  12. Multimedia51 topic
  13. Social Network Extraction51 topic
  14. COVID-1941 topic
  15. Operations Research41 topic
  16. Pandemic41 topic
  17. Production Management41 topic
  18. Artificial Neural Networks31 topic
  19. Blockchain31 topic
  20. Classification Algorithms31 topic
  21. Digital Image Processing31 topic
  22. Neural Networks31 topic
  23. Technology31 topic

Where does Mailia Putri Utami work?

Mailia Putri Utami's main affiliation in the publication record is Jakarta State Polytechnic, Indonesia.

How many publications and citations does Mailia Putri Utami have?

OpenAlex counts 15 works and 35 citations for Mailia Putri Utami, an h-index of 3, ranking #5,127,377 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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