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Researcher · Harapan Bangsa Institute of Technology · Indonesia

Ivan Michael Siregar

Ivan Michael Siregar publishes mostly in Information Systems, Artificial Intelligence and Management Science and Operations Research, on topics such as Multimedia Learning Systems, Edcuational Technology Systems and Educational Methods and Media Use.

ORCID 0009-0007-4864-9430 OpenAlex
World rank
#5,814,974
of 7,710,434 ranked researchers
Rank in Indonesia
#62,631
of 148,020
Works
21
Citations
48
Citations per work
2.3
h-index
3
i10-index 2Top 83% in Information Systems
Ivan Michael Siregar

What does Ivan Michael Siregar research?

Ivan Michael Siregar's work is mostly in Computer Science (58%), Business, Management and Accounting (13%), Decision Sciences (6%).

Physical Sciences: 12 works · 57.7% of their workComputer Science: 12 works · 57.7% of their workInformation Systems: 9 works · 44.2% of their workArtificial Intelligence: 3 works · 13.5% of their workEverything else: 5 works · 23.1% of their workSocial Sciences: 4 works · 19.2% of their workBusiness, Management and Accounting: 3 works · 13.4% of their workManagement Information Systems: 1 works · 5.8% of their workMarketing: 1 works · 3.8% of their workStrategy and Management: 1 works · 3.8% of their workDecision Sciences: 1 works · 5.8% of their workManagement Science and Operations Research: 1 works · 5.8% of their workTHEIR WORKIvan MichaelSiregar21works
Physical Sciences58%Social Sciences19%

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 Science1257.7%
  2. Everything else523.1%
    1. Business, Management and Accounting313.4%
    2. Decision Sciences15.8%
  1. 1Information Systems44% of their works
  2. 2Artificial Intelligence14% of their works
  3. 3Management Science and Operations Research6% of their works
  4. 4Management Information Systems6% of their works
  5. 5Strategy and Management4% of their works
  6. 6Marketing4% of their works

Research topics

Which keywords describe Ivan Michael Siregar's research?

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

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 24 words, with their numbers
  1. Data Mining93 topics
  2. Artificial Intelligence83 topics
  3. E-Learning82 topics
  4. Machine Learning83 topics
  5. Big Data52 topics
  6. Decision Support System52 topics
  7. Fuzzy Logic52 topics
  8. Learning51 topic
  9. Multimedia51 topic
  10. Neural Networks52 topics
  11. Classification Algorithms31 topic
  12. Clustering Methods31 topic
  13. Digital Literacy31 topic
  14. Expert Systems31 topic
  15. Information Retrieval31 topic
  16. Knowledge Management31 topic
  17. School Literacy Movement31 topic
  18. Social Network Extraction31 topic
  19. Collaborative Filtering21 topic
  20. Data Analysis21 topic
  21. Information Technology21 topic
  22. Matrix Factorization21 topic
  23. Smart Factory21 topic
  24. Systems Analysis and Design21 topic

Where does Ivan Michael Siregar work?

Ivan Michael Siregar's main affiliation in the publication record is Harapan Bangsa Institute of Technology, Indonesia.

How many publications and citations does Ivan Michael Siregar have?

OpenAlex counts 21 works and 48 citations for Ivan Michael Siregar, an h-index of 3, ranking #5,814,974 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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