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Researcher · Universitas Sumatera Utara · Indonesia

Muhammad Zarlis

Muhammad Zarlis publishes mostly in Information Systems, Artificial Intelligence and Management Information Systems, on topics such as Data Mining and Machine Learning Applications, Edcuational Technology Systems and Computer Science and Engineering.

ORCID 0000-0003-0520-7273 OpenAlex
World rank
#7,199,517
of 7,710,434 ranked researchers
Rank in Indonesia
#119,210
of 148,020
Works
401
Citations
1.8k
Citations per work
4.4
h-index
19
i10-index 44Top 5% in Information Systems
Muhammad Zarlis

What does Muhammad Zarlis research?

Muhammad Zarlis's work is mostly in Computer Science (56%), Business, Management and Accounting (10%).

Physical Sciences: 223 works · 55.6% of their workComputer Science: 223 works · 55.6% of their workInformation Systems: 107 works · 26.8% of their workArtificial Intelligence: 89 works · 22.1% of their workComputer Vision and Pattern Recognition: 15 works · 3.8% of their workComputer Networks and Communications: 12 works · 2.9% of their workEverything else: 139 works · 34.7% of their workSocial Sciences: 39 works · 9.7% of their workBusiness, Management and Accounting: 39 works · 9.7% of their workManagement Information Systems: 27 works · 6.8% of their workStrategy and Management: 12 works · 2.9% of their workTHEIR WORKMuhammad Zarlis401works
Physical Sciences56%Social Sciences10%

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 Science22355.6%
  2. Everything else13934.7%
    1. Business, Management and Accounting399.7%
  1. 1Information Systems27% of their works
  2. 2Artificial Intelligence22% of their works
  3. 3Management Information Systems7% of their works
  4. 4Computer Vision and Pattern Recognition4% of their works
  5. 5Strategy and Management3% of their works
  6. 6Computer Networks and Communications3% of their works

Research topics

Which keywords describe Muhammad Zarlis's research?

The keywords of their largest research topics: Artificial Intelligence, Data Mining, Machine Learning, Decision Support System, Fuzzy Logic, Big Data, Classification Algorithms and Neural Networks.

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 25 words, with their numbers
  1. Artificial Intelligence2283 topics
  2. Data Mining2183 topics
  3. Machine Learning1843 topics
  4. Decision Support System1282 topics
  5. Fuzzy Logic1282 topics
  6. Big Data1072 topics
  7. Classification Algorithms1001 topic
  8. Neural Networks1001 topic
  9. E-Learning782 topics
  10. Education782 topics
  11. Expert Systems771 topic
  12. Knowledge Management771 topic
  13. Information Technology762 topics
  14. Artificial Neural Networks661 topic
  15. Digital Image Processing661 topic
  16. Accounting Information System511 topic
  17. Systems Analysis and Design511 topic
  18. Learning451 topic
  19. Multimedia451 topic
  20. Information Retrieval411 topic
  21. Social Network Extraction411 topic
  22. Blockchain331 topic
  23. Technology331 topic
  24. Operations Research251 topic
  25. Production Management251 topic

Where does Muhammad Zarlis work?

Muhammad Zarlis's main affiliation in the publication record is Universitas Sumatera Utara, Indonesia.

How many publications and citations does Muhammad Zarlis have?

OpenAlex counts 401 works and 1,767 citations for Muhammad Zarlis, an h-index of 19, ranking #7,199,517 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.

Other researchers named Muhammad Zarlis

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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