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Researcher · Universitas Muslim Indonesia · Indonesia

Muhammad Arfah Asis

Muhammad Arfah Asis publishes mostly in Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition, on topics such as Edcuational Technology Systems, Information Retrieval and Data Mining and Blockchain Technology in Education and Learning.

OpenAlex
World rank
#7,242,834
of 7,710,434 ranked researchers
Rank in Indonesia
#121,569
of 148,020
Works
29
Citations
47
Citations per work
1.6
h-index
4
i10-index 1Top 69% in Information Systems
Muhammad Arfah Asis

What does Muhammad Arfah Asis research?

Muhammad Arfah Asis's work is mostly in Computer Science (67%), Business, Management and Accounting (5%), Medicine (4%).

Physical Sciences: 19 works · 66.6% of their workComputer Science: 19 works · 66.6% of their workInformation Systems: 11 works · 38.5% of their workArtificial Intelligence: 5 works · 17.9% of their workComputer Networks and Communications: 1 works · 5.1% of their workComputer Vision and Pattern Recognition: 1 works · 5.1% of their workEverything else: 7 works · 24.5% of their workSocial Sciences: 1 works · 5.1% of their workBusiness, Management and Accounting: 1 works · 5.1% of their workManagement Information Systems: 1 works · 5.1% of their workHealth Sciences: 1 works · 3.8% of their workMedicine: 1 works · 3.8% of their workPediatrics, Perinatology and Child Health: 1 works · 3.8% of their workTHEIR WORKMuhammad ArfahAsis29works
Physical Sciences67%Health Sciences4%Social Sciences5%

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 Science1966.6%
  2. Everything else724.5%
    1. Business, Management and Accounting15.1%
    1. Medicine13.8%
  1. 1Information Systems38% of their works
  2. 2Artificial Intelligence18% of their works
  3. 3Computer Vision and Pattern Recognition5% of their works
  4. 4Computer Networks and Communications5% of their works
  5. 5Management Information Systems5% of their works
  6. 6Pediatrics, Perinatology and Child Health4% of their works

Research topics

Which keywords describe Muhammad Arfah Asis's research?

The keywords of their largest research topics: Machine Learning, Data Mining, Artificial Intelligence, Decision Support System, E-Learning, Education, Expert Systems and Knowledge Management.

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 23 words, with their numbers
  1. Machine Learning203 topics
  2. Data Mining182 topics
  3. Artificial Intelligence152 topics
  4. Decision Support System152 topics
  5. E-Learning112 topics
  6. Education112 topics
  7. Expert Systems111 topic
  8. Knowledge Management111 topic
  9. Big Data92 topics
  10. Information Retrieval71 topic
  11. Social Network Extraction71 topic
  12. Blockchain61 topic
  13. Technology61 topic
  14. Learning51 topic
  15. Multimedia51 topic
  16. Information Technology41 topic
  17. Systems Analysis and Design41 topic
  18. Maternal Health31 topic
  19. Stunting31 topic
  20. Artificial Neural Networks21 topic
  21. Digital Image Processing21 topic
  22. Distributed Storage21 topic
  23. Network Coding21 topic

Where does Muhammad Arfah Asis work?

Muhammad Arfah Asis's main affiliation in the publication record is Universitas Muslim Indonesia, Indonesia.

How many publications and citations does Muhammad Arfah Asis have?

OpenAlex counts 29 works and 47 citations for Muhammad Arfah Asis, an h-index of 4, ranking #7,242,834 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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