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Researcher · Universitas Prima Indonesia · Indonesia

Saut Parsaoran Tamba

Saut Parsaoran Tamba publishes mostly in Information Systems, Artificial Intelligence and Management Information Systems, on topics such as Edcuational Technology Systems, Multimedia Learning Systems and Data Mining and Machine Learning Applications.

ORCID 0000-0002-4955-9978 OpenAlex
World rank
#2,685,357
of 7,710,434 ranked researchers
Rank in Indonesia
#9,712
of 148,020
Works
22
Citations
340
Citations per work
15.5
h-index
9
i10-index 9Top 25% in Information Systems
Saut Parsaoran Tamba

What does Saut Parsaoran Tamba research?

Saut Parsaoran Tamba's work is mostly in Computer Science (69%), Business, Management and Accounting (8%), Social Sciences (3%).

Physical Sciences: 15 works · 69.3% of their workComputer Science: 15 works · 69.3% of their workInformation Systems: 10 works · 47.7% of their workArtificial Intelligence: 4 works · 18.5% of their workComputer Networks and Communications: 1 works · 3.1% of their workEverything else: 4 works · 19.9% of their workSocial Sciences: 2 works · 10.8% of their workBusiness, Management and Accounting: 2 works · 7.7% of their workManagement Information Systems: 1 works · 4.6% of their workOrganizational Behavior and Human Resource Management: 1 works · 3.1% of their workSocial Sciences: 1 works · 3.1% of their workEducation: 1 works · 3.1% of their workTHEIR WORKSaut ParsaoranTamba22works
Physical Sciences69%Social Sciences11%

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 Science1569.3%
  2. Everything else419.9%
    1. Business, Management and Accounting27.7%
    2. Social Sciences13.1%
  1. 1Information Systems48% of their works
  2. 2Artificial Intelligence18% of their works
  3. 3Management Information Systems5% of their works
  4. 4Education3% of their works
  5. 5Organizational Behavior and Human Resource Management3% of their works
  6. 6Computer Networks and Communications3% of their works

Research topics

Which keywords describe Saut Parsaoran Tamba's research?

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

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 Mining243 topics
  2. Artificial Intelligence213 topics
  3. Machine Learning162 topics
  4. Decision Support System132 topics
  5. Fuzzy Logic132 topics
  6. E-Learning112 topics
  7. Education112 topics
  8. Expert Systems101 topic
  9. Knowledge Management101 topic
  10. Classification Algorithms81 topic
  11. Learning81 topic
  12. Multimedia81 topic
  13. Neural Networks81 topic
  14. Information Retrieval61 topic
  15. Social Network Extraction61 topic
  16. Information Technology52 topics
  17. Accounting Information System31 topic
  18. Blockchain31 topic
  19. Systems Analysis and Design31 topic
  20. Technology31 topic
  21. Operations Research21 topic
  22. Production Management21 topic
  23. Seahorses11 topic
  24. Syngnathidae11 topic

Where does Saut Parsaoran Tamba work?

Saut Parsaoran Tamba's main affiliation in the publication record is Universitas Prima Indonesia, Indonesia.

How many publications and citations does Saut Parsaoran Tamba have?

OpenAlex counts 22 works and 340 citations for Saut Parsaoran Tamba, an h-index of 9, ranking #2,685,357 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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