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Researcher · Rajabhat Maha Sarakham University · Thailand

Patchara Nasa-Ngium

Patchara Nasa-Ngium publishes mostly in Computer Science Applications, Artificial Intelligence and Information Systems, on topics such as Online Learning and Analytics, Artificial Intelligence in Healthcare and Metaheuristic Optimization Algorithms Research.

ORCID 0000-0003-2891-4165 OpenAlex
World rank
#4,724,151
of 7,710,434 ranked researchers
Rank in Thailand
#12,818
of 23,698
Works
34
Citations
210
Citations per work
6.2
h-index
7
i10-index 4Top 53% in Computer Science Applications
Patchara Nasa-Ngium

What does Patchara Nasa-Ngium research?

Patchara Nasa-Ngium's work is mostly in Computer Science (59%), Health Professions (9%), Psychology (6%).

Physical Sciences: 20 works · 59.3% of their workComputer Science: 20 works · 59.3% of their workArtificial Intelligence: 7 works · 21.7% of their workComputer Science Applications: 7 works · 21.7% of their workInformation Systems: 3 works · 10.1% of their workComputational Theory and Mathematics: 2 works · 5.8% of their workEverything else: 9 works · 26.2% of their workHealth Sciences: 3 works · 8.7% of their workHealth Professions: 3 works · 8.7% of their workHealth Information Management: 3 works · 8.7% of their workSocial Sciences: 2 works · 5.8% of their workPsychology: 2 works · 5.8% of their workDevelopmental and Educational Psychology: 2 works · 5.8% of their workTHEIR WORKPatcharaNasa-Ngium34works
Physical Sciences59%Health Sciences9%Social Sciences6%

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 Science2059.3%
  2. Everything else926.2%
    1. Health Professions38.7%
    1. Psychology25.8%
  1. 1Computer Science Applications22% of their works
  2. 2Artificial Intelligence22% of their works
  3. 3Information Systems10% of their works
  4. 4Health Information Management9% of their works
  5. 5Computational Theory and Mathematics6% of their works
  6. 6Developmental and Educational Psychology6% of their works

Research topics

Which keywords describe Patchara Nasa-Ngium's research?

The keywords of their largest research topics: Machine Learning, Online Learning, Educational Data Mining, Learning Analytics, Data Mining, Evolutionary Algorithms, Particle Swarm Optimization and Adaptive 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. 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 22 words, with their numbers
  1. Machine Learning233 topics
  2. Online Learning172 topics
  3. Educational Data Mining141 topic
  4. Learning Analytics141 topic
  5. Data Mining92 topics
  6. Evolutionary Algorithms72 topics
  7. Particle Swarm Optimization72 topics
  8. Adaptive Learning62 topics
  9. Big Data Analytics61 topic
  10. Healthcare61 topic
  11. Ant Colony Optimization41 topic
  12. Differential Evolution41 topic
  13. Deep Learning31 topic
  14. E-Learning31 topic
  15. Educational Assessment31 topic
  16. Experiential Learning31 topic
  17. Fuzzy Logic31 topic
  18. Google Classroom31 topic
  19. Learning Styles31 topic
  20. Multiobjective Optimization31 topic
  21. Plant Disease Detection31 topic
  22. Surrogate Modeling31 topic

Where does Patchara Nasa-Ngium work?

Patchara Nasa-Ngium's main affiliation in the publication record is Rajabhat Maha Sarakham University, Thailand.

How many publications and citations does Patchara Nasa-Ngium have?

OpenAlex counts 34 works and 210 citations for Patchara Nasa-Ngium, an h-index of 7, ranking #4,724,151 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.

Discussion

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