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Researcher · Universitas Pembangunan Nasional Veteran Jakarta · Indonesia

Noor Falih

Noor Falih publishes mostly in Information Systems, Artificial Intelligence and Industrial and Manufacturing Engineering, on topics such as Data Mining and Machine Learning Applications, Multimedia Learning Systems and Information Retrieval and Data Mining.

ORCID 0000-0001-7804-5450 OpenAlex
World rank
#6,043,097
of 7,710,434 ranked researchers
Rank in Indonesia
#70,239
of 148,020
Works
28
Citations
85
Citations per work
3.0
h-index
5
i10-index 2Top 57% in Information Systems
Noor Falih

What does Noor Falih research?

Noor Falih's work is mostly in Computer Science (49%), Engineering (10%), Business, Management and Accounting (6%).

Physical Sciences: 17 works · 59.4% of their workComputer Science: 14 works · 49.3% of their workInformation Systems: 10 works · 35.4% of their workArtificial Intelligence: 4 works · 13.9% of their workEngineering: 3 works · 10.1% of their workIndustrial and Manufacturing Engineering: 2 works · 6.3% of their workMechanical Engineering: 1 works · 3.8% of their workEverything else: 9 works · 30.5% of their workSocial Sciences: 3 works · 10.1% of their workBusiness, Management and Accounting: 2 works · 6.3% of their workManagement Information Systems: 2 works · 6.3% of their workSocial Sciences: 1 works · 3.8% of their workEducation: 1 works · 3.8% of their workTHEIR WORKNoor Falih28works
Physical Sciences59%Social Sciences10%

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 Science1449.3%
    2. Engineering310.1%
  2. Everything else930.5%
    1. Business, Management and Accounting26.3%
    2. Social Sciences13.8%
  1. 1Information Systems35% of their works
  2. 2Artificial Intelligence14% of their works
  3. 3Industrial and Manufacturing Engineering6% of their works
  4. 4Management Information Systems6% of their works
  5. 5Education4% of their works
  6. 6Mechanical Engineering4% of their works

Research topics

Which keywords describe Noor Falih's research?

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

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 25 words, with their numbers
  1. Artificial Intelligence184 topics
  2. Data Mining183 topics
  3. Machine Learning143 topics
  4. Big Data92 topics
  5. Digital Transformation92 topics
  6. E-Learning92 topics
  7. Education92 topics
  8. Decision Support System82 topics
  9. Fuzzy Logic82 topics
  10. Classification Algorithms71 topic
  11. Neural Networks71 topic
  12. Information Retrieval61 topic
  13. Learning61 topic
  14. Multimedia61 topic
  15. Social Network Extraction61 topic
  16. Expert Systems51 topic
  17. Knowledge Management51 topic
  18. Artificial Neural Networks31 topic
  19. Automation31 topic
  20. Blockchain31 topic
  21. Digital Image Processing31 topic
  22. Information Technology31 topic
  23. Robotic Process Automation31 topic
  24. Systems Analysis and Design31 topic
  25. Technology31 topic

Where does Noor Falih work?

Noor Falih's main affiliation in the publication record is Universitas Pembangunan Nasional Veteran Jakarta, Indonesia.

How many publications and citations does Noor Falih have?

OpenAlex counts 28 works and 85 citations for Noor Falih, an h-index of 5, ranking #6,043,097 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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