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Researcher · Islamic University of Indonesia · Indonesia

Rian Adam Rajagede

Rian Adam Rajagede publishes mostly in Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, on topics such as Edcuational Technology Systems, Data Mining and Machine Learning Applications and Natural Language Processing Techniques.

ORCID 0000-0002-3427-905X OpenAlex
World rank
#5,345,114
of 7,710,434 ranked researchers
Rank in Indonesia
#49,187
of 148,020
Works
26
Citations
95
Citations per work
3.7
h-index
6
i10-index 4Top 74% in Artificial Intelligence
Rian Adam Rajagede

What does Rian Adam Rajagede research?

Rian Adam Rajagede's work is mostly in Computer Science (77%), Psychology (4%), Social Sciences (4%).

Physical Sciences: 20 works · 77.0% of their workComputer Science: 20 works · 77.0% of their workArtificial Intelligence: 11 works · 41.9% of their workInformation Systems: 8 works · 29.7% of their workComputer Vision and Pattern Recognition: 1 works · 5.4% of their workEverything else: 3 works · 12.1% of their workSocial Sciences: 3 works · 10.9% of their workPsychology: 1 works · 4.1% of their workDevelopmental and Educational Psychology: 1 works · 4.1% of their workSocial Sciences: 1 works · 4.1% of their workSociology and Political Science: 1 works · 4.1% of their workArts and Humanities: 1 works · 2.7% of their workLanguage and Linguistics: 1 works · 2.7% of their workTHEIR WORKRian AdamRajagede26works
Physical Sciences77%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 Science2077.0%
  2. Everything else312.1%
    1. Psychology14.1%
    2. Social Sciences14.1%
    3. Arts and Humanities12.7%
  1. 1Artificial Intelligence42% of their works
  2. 2Information Systems30% of their works
  3. 3Computer Vision and Pattern Recognition5% of their works
  4. 4Sociology and Political Science4% of their works
  5. 5Developmental and Educational Psychology4% of their works
  6. 6Language and Linguistics3% of their works

Research topics

Which keywords describe Rian Adam Rajagede's research?

The keywords of their largest research topics: Artificial Intelligence, Data Mining, Machine Learning, Decision Support System, E-Learning, Education, Expert Systems 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 22 words, with their numbers
  1. Artificial Intelligence132 topics
  2. Data Mining132 topics
  3. Machine Learning122 topics
  4. Decision Support System81 topic
  5. E-Learning82 topics
  6. Education82 topics
  7. Expert Systems81 topic
  8. Neural Networks82 topics
  9. Classification Algorithms51 topic
  10. Clustering Methods51 topic
  11. Artificial Neural Networks41 topic
  12. Blockchain41 topic
  13. Digital Image Processing41 topic
  14. Learning41 topic
  15. Multimedia41 topic
  16. Neural Machine Translation41 topic
  17. Statistical Machine Translation41 topic
  18. Technology41 topic
  19. Machine Translation31 topic
  20. Monte Carlo Tree Search31 topic
  21. Procedural Content Generation31 topic
  22. Word Representation31 topic

Where does Rian Adam Rajagede work?

Rian Adam Rajagede's main affiliation in the publication record is Islamic University of Indonesia, Indonesia.

How many publications and citations does Rian Adam Rajagede have?

OpenAlex counts 26 works and 95 citations for Rian Adam Rajagede, an h-index of 6, ranking #5,345,114 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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