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Researcher · Terra · Netherlands

Mikha Dayan Sinaga

Mikha Dayan Sinaga publishes mostly in Information Systems, Artificial Intelligence and Management Information Systems, on topics such as Edcuational Technology Systems, Decision Support System Applications and Multimedia Learning Systems.

OpenAlex
World rank
#5,907,032
of 7,710,434 ranked researchers
Rank in Netherlands
#97,773
of 107,149
Works
27
Citations
118
Citations per work
4.4
h-index
6
i10-index 2Top 46% in Information Systems
Mikha Dayan Sinaga

What does Mikha Dayan Sinaga research?

Mikha Dayan Sinaga's work is mostly in Computer Science (56%), Business, Management and Accounting (17%), Social Sciences (3%).

Physical Sciences: 15 works · 56.4% of their workComputer Science: 15 works · 56.4% of their workInformation Systems: 9 works · 33.3% of their workArtificial Intelligence: 5 works · 18.8% of their workComputer Vision and Pattern Recognition: 1 works · 4.3% of their workEverything else: 6 works · 23.3% of their workSocial Sciences: 5 works · 20.3% of their workBusiness, Management and Accounting: 5 works · 17.4% of their workManagement Information Systems: 4 works · 14.5% of their workStrategy and Management: 1 works · 2.9% of their workSocial Sciences: 1 works · 2.9% of their workSociology and Political Science: 1 works · 2.9% of their workTHEIR WORKMikha DayanSinaga27works
Physical Sciences56%Social Sciences20%

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 Science1556.4%
  2. Everything else623.3%
    1. Business, Management and Accounting517.4%
    2. Social Sciences12.9%
  1. 1Information Systems33% of their works
  2. 2Artificial Intelligence19% of their works
  3. 3Management Information Systems14% of their works
  4. 4Computer Vision and Pattern Recognition4% of their works
  5. 5Sociology and Political Science3% of their works
  6. 6Strategy and Management3% of their works

Research topics

Which keywords describe Mikha Dayan Sinaga's research?

The keywords of their largest research topics: Artificial Intelligence, Data Mining, Decision Support System, Fuzzy Logic, Machine Learning, E-Learning, 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 24 words, with their numbers
  1. Artificial Intelligence263 topics
  2. Data Mining223 topics
  3. Decision Support System212 topics
  4. Fuzzy Logic212 topics
  5. Machine Learning214 topics
  6. E-Learning122 topics
  7. Education122 topics
  8. Expert Systems111 topic
  9. Knowledge Management111 topic
  10. Information Technology101 topic
  11. Systems Analysis and Design101 topic
  12. Big Data82 topics
  13. Learning81 topic
  14. Multimedia81 topic
  15. Information Retrieval61 topic
  16. Social Network Extraction61 topic
  17. Classification Algorithms51 topic
  18. Neural Networks51 topic
  19. Blockchain41 topic
  20. Technology41 topic
  21. Artificial Neural Networks21 topic
  22. Digital Image Processing21 topic
  23. Leukemia Classification21 topic
  24. Malaria Parasite Detection21 topic

Where does Mikha Dayan Sinaga work?

Mikha Dayan Sinaga's main affiliation in the publication record is Terra, Netherlands.

How many publications and citations does Mikha Dayan Sinaga have?

OpenAlex counts 27 works and 118 citations for Mikha Dayan Sinaga, an h-index of 6, ranking #5,907,032 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.

Discussion

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