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Researcher · Universitas Informatika dan Bisnis Indonesia · Indonesia

Astried Silvanie

Astried Silvanie publishes mostly in Information Systems, Artificial Intelligence and Computer Science Applications, on topics such as Edcuational Technology Systems, Multimedia Learning Systems and Data Mining and Machine Learning Applications.

OpenAlex
World rank
#6,735,919
of 7,710,434 ranked researchers
Rank in Indonesia
#96,442
of 148,020
Works
25
Citations
21
Citations per work
0.8
h-index
3
i10-index 0Top 83% in Information Systems
Astried Silvanie

What does Astried Silvanie research?

Astried Silvanie's work is mostly in Computer Science (68%), Business, Management and Accounting (4%), Social Sciences (4%).

Physical Sciences: 18 works · 71.1% of their workComputer Science: 17 works · 68.1% of their workInformation Systems: 10 works · 40.9% of their workArtificial Intelligence: 6 works · 22.7% of their workComputer Science Applications: 1 works · 4.5% of their workEngineering: 1 works · 3.0% of their workIndustrial and Manufacturing Engineering: 1 works · 3.0% of their workEverything else: 5 works · 19.9% of their workSocial Sciences: 2 works · 9.0% of their workBusiness, Management and Accounting: 1 works · 4.5% of their workManagement Information Systems: 1 works · 4.5% of their workSocial Sciences: 1 works · 4.5% of their workEducation: 1 works · 4.5% of their workTHEIR WORKAstried Silvanie25works
Physical Sciences71%Social Sciences9%

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 Science1768.1%
    2. Engineering13.0%
  2. Everything else519.9%
    1. Business, Management and Accounting14.5%
    2. Social Sciences14.5%
  1. 1Information Systems41% of their works
  2. 2Artificial Intelligence23% of their works
  3. 3Computer Science Applications4% of their works
  4. 4Education4% of their works
  5. 5Management Information Systems4% of their works
  6. 6Industrial and Manufacturing Engineering3% of their works

Research topics

Which keywords describe Astried Silvanie's research?

The keywords of their largest research topics: Data Mining, Artificial Intelligence, Machine Learning, E-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.

All 24 words, with their numbers
  1. Data Mining193 topics
  2. Artificial Intelligence183 topics
  3. Machine Learning153 topics
  4. E-Learning133 topics
  5. Decision Support System122 topics
  6. Fuzzy Logic122 topics
  7. Education102 topics
  8. Expert Systems91 topic
  9. Knowledge Management91 topic
  10. Big Data62 topics
  11. Classification Algorithms61 topic
  12. Learning61 topic
  13. Multimedia61 topic
  14. Neural Networks61 topic
  15. Blockchain41 topic
  16. Information Retrieval41 topic
  17. Social Network Extraction41 topic
  18. Technology41 topic
  19. Digital Literacy31 topic
  20. Information Technology31 topic
  21. School Literacy Movement31 topic
  22. Systems Analysis and Design31 topic
  23. Artificial Neural Networks21 topic
  24. Digital Image Processing21 topic

Where does Astried Silvanie work?

Astried Silvanie's main affiliation in the publication record is Universitas Informatika dan Bisnis Indonesia, Indonesia.

How many publications and citations does Astried Silvanie have?

OpenAlex counts 25 works and 21 citations for Astried Silvanie, an h-index of 3, ranking #6,735,919 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.

Discussion

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