Science Explorer Back to mapMap
Discussion
Researcher · Pancur Kasih Association · Indonesia

Muhamad Arpan

Muhamad Arpan publishes mostly in Education, Information Systems and Management Information Systems, on topics such as Educational Methods and Media Use, Blockchain Technology in Education and Learning and Education and Character Development.

ORCID 0000-0003-4905-0116 OpenAlex
World rank
#2,284,914
of 7,710,434 ranked researchers
Rank in Indonesia
#7,072
of 148,020
Works
21
Citations
148
Citations per work
7.0
h-index
8
i10-index 7Top 28% in Education
Muhamad Arpan

What does Muhamad Arpan research?

Muhamad Arpan's work is mostly in Social Sciences (47%), Computer Science (40%), Business, Management and Accounting (6%).

Social Sciences: 11 works · 52.8% of their workSocial Sciences: 10 works · 47.3% of their workEducation: 10 works · 47.3% of their workBusiness, Management and Accounting: 1 works · 5.5% of their workManagement Information Systems: 1 works · 5.5% of their workPhysical Sciences: 9 works · 41.7% of their workComputer Science: 8 works · 39.9% of their workInformation Systems: 7 works · 34.5% of their workArtificial Intelligence: 1 works · 3.6% of their workComputer Networks and Communications: 0 works · 1.8% of their workEngineering: 0 works · 1.8% of their workMedia Technology: 0 works · 1.8% of their workEverything else: 1 works · 5.5% of their workTHEIR WORKMuhamad Arpan21works
Physical Sciences42%Social Sciences53%

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. Social Sciences1047.3%
    2. Business, Management and Accounting15.5%
    1. Computer Science839.9%
    2. Engineering01.8%
  3. Everything else15.5%
  1. 1Education47% of their works
  2. 2Information Systems34% of their works
  3. 3Management Information Systems6% of their works
  4. 4Artificial Intelligence4% of their works
  5. 5Media Technology2% of their works
  6. 6Computer Networks and Communications2% of their works

Research topics

Which keywords describe Muhamad Arpan's research?

The keywords of their largest research topics: E-Learning, Media Literacy, Digital Literacy, School Literacy Movement, Blockchain, Character Education, Digital Learning and Education.

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. E-Learning213 topics
  2. Media Literacy132 topics
  3. Digital Literacy101 topic
  4. School Literacy Movement101 topic
  5. Blockchain81 topic
  6. Character Education82 topics
  7. Digital Learning82 topics
  8. Education81 topic
  9. Educational Technology83 topics
  10. Local Wisdom62 topics
  11. Mobile Learning62 topics
  12. Islamic Education51 topic
  13. Religious Values51 topic
  14. Appropriate Technology31 topic
  15. Digital Parenting31 topic
  16. Google Classroom31 topic
  17. Kampus Merdeka31 topic
  18. Merdeka Belajar31 topic
  19. Online Learning31 topic
  20. Problem Based Learning31 topic
  21. STEM Education31 topic
  22. Decision Support System21 topic
  23. Expert Systems21 topic

Where does Muhamad Arpan work?

Muhamad Arpan's main affiliation in the publication record is Pancur Kasih Association, Indonesia.

How many publications and citations does Muhamad Arpan have?

OpenAlex counts 21 works and 148 citations for Muhamad Arpan, an h-index of 8, ranking #2,284,914 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

Ask a question or share a note about Muhamad Arpan. Posts are plain text and can be reported.