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Researcher · State University of Makassar · Indonesia

Muh. Syahlan Natsir

Muh. Syahlan Natsir publishes mostly in Information Systems, Education and Artificial Intelligence, on topics such as Multimedia Learning Systems, Information Retrieval and Data Mining and Edcuational Technology Systems.

OpenAlex
World rank
#7,360,051
of 7,710,434 ranked researchers
Rank in Indonesia
#128,132
of 148,020
Works
29
Citations
27
Citations per work
0.9
h-index
3
i10-index 0Top 83% in Information Systems
Muh. Syahlan Natsir

What does Muh. Syahlan Natsir research?

Muh. Syahlan Natsir's work is mostly in Computer Science (57%), Social Sciences (18%), Business, Management and Accounting (5%).

Physical Sciences: 17 works · 59.5% of their workComputer Science: 17 works · 57.0% of their workInformation Systems: 12 works · 41.8% of their workArtificial Intelligence: 4 works · 15.2% of their workMathematics: 1 works · 2.5% of their workApplied Mathematics: 1 works · 2.5% of their workSocial Sciences: 7 works · 22.8% of their workSocial Sciences: 5 works · 17.7% of their workEducation: 5 works · 17.7% of their workBusiness, Management and Accounting: 1 works · 5.1% of their workManagement Information Systems: 1 works · 5.1% of their workEverything else: 4 works · 13.9% of their workLife Sciences: 1 works · 3.8% of their workAgricultural and Biological Sciences: 1 works · 3.8% of their workPlant Science: 1 works · 3.8% of their workTHEIR WORKMuh. SyahlanNatsir29works
Life Sciences4%Physical Sciences60%Social Sciences23%

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 Science1757.0%
    2. Mathematics12.5%
    1. Social Sciences517.7%
    2. Business, Management and Accounting15.1%
  3. Everything else413.9%
    1. Agricultural and Biological Sciences13.8%
  1. 1Information Systems42% of their works
  2. 2Education18% of their works
  3. 3Artificial Intelligence15% of their works
  4. 4Management Information Systems5% of their works
  5. 5Plant Science4% of their works
  6. 6Applied Mathematics2% of their works

Research topics

Which keywords describe Muh. Syahlan Natsir's research?

The keywords of their largest research topics: Data Mining, Machine Learning, Artificial Intelligence, E-Learning, Education, Big Data, Decision Support System and Fuzzy Logic.

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. Data Mining213 topics
  2. Machine Learning193 topics
  3. Artificial Intelligence173 topics
  4. E-Learning142 topics
  5. Education142 topics
  6. Big Data122 topics
  7. Decision Support System112 topics
  8. Fuzzy Logic112 topics
  9. Learning101 topic
  10. Multimedia101 topic
  11. Information Retrieval81 topic
  12. Social Network Extraction81 topic
  13. Expert Systems71 topic
  14. Knowledge Management71 topic
  15. Classification Algorithms61 topic
  16. Neural Networks61 topic
  17. Artificial Neural Networks41 topic
  18. Blockchain41 topic
  19. Character Education41 topic
  20. Digital Image Processing41 topic
  21. Information Technology41 topic
  22. Religious Values41 topic
  23. Systems Analysis and Design41 topic
  24. Technology41 topic

Where does Muh. Syahlan Natsir work?

Muh. Syahlan Natsir's main affiliation in the publication record is State University of Makassar, Indonesia.

How many publications and citations does Muh. Syahlan Natsir have?

OpenAlex counts 29 works and 27 citations for Muh. Syahlan Natsir, an h-index of 3, ranking #7,360,051 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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