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Researcher · Pokhara University · Nepal

Yagyanath Rimal

Yagyanath Rimal publishes mostly in Artificial Intelligence, Information Systems and Computer Science Applications, on topics such as Online Learning and Analytics, Artificial Intelligence in Healthcare and Machine Learning and Data Classification.

ORCID 0000-0003-1045-7728 OpenAlex
World rank
#1,857,187
of 7,710,434 ranked researchers
Rank in Nepal
#440
of 5,081
Works
47
Citations
405
Citations per work
8.6
h-index
8
i10-index 8Top 56% in Artificial Intelligence
Yagyanath Rimal

What does Yagyanath Rimal research?

Yagyanath Rimal's work is mostly in Computer Science (64%), Health Professions (8%).

Physical Sciences: 30 works · 64.2% of their workComputer Science: 30 works · 64.2% of their workArtificial Intelligence: 16 works · 33.0% of their workInformation Systems: 6 works · 12.3% of their workComputer Science Applications: 4 works · 8.5% of their workComputer Networks and Communications: 3 works · 5.7% of their workSignal Processing: 2 works · 4.7% of their workEverything else: 13 works · 27.3% of their workHealth Sciences: 4 works · 8.5% of their workHealth Professions: 4 works · 8.5% of their workHealth Information Management: 4 works · 8.5% of their workTHEIR WORKYagyanath Rimal47works
Physical Sciences64%Health Sciences8%

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 Science3064.2%
  2. Everything else1327.3%
    1. Health Professions48.5%
  1. 1Artificial Intelligence33% of their works
  2. 2Information Systems12% of their works
  3. 3Computer Science Applications8% of their works
  4. 4Health Information Management8% of their works
  5. 5Computer Networks and Communications6% of their works
  6. 6Signal Processing5% of their works

Research topics

Which keywords describe Yagyanath Rimal's research?

The keywords of their largest research topics: Machine Learning, Classification, Big Data Analytics, Educational Data Mining, Healthcare, Learning Analytics, Deep Learning and Hyperparameter Optimization.

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 19 words, with their numbers
  1. Machine Learning244 topics
  2. Classification163 topics
  3. Big Data Analytics91 topic
  4. Educational Data Mining91 topic
  5. Healthcare91 topic
  6. Learning Analytics91 topic
  7. Deep Learning82 topics
  8. Hyperparameter Optimization81 topic
  9. Noisy Labels81 topic
  10. Imbalanced Data51 topic
  11. Neural Networks51 topic
  12. SMOTE51 topic
  13. Self-Organizing Maps51 topic
  14. COVID-1941 topic
  15. Modeling41 topic
  16. Brain Tumor31 topic
  17. MRI31 topic
  18. R language31 topic
  19. Statistical Analysis31 topic

Where does Yagyanath Rimal work?

Yagyanath Rimal's main affiliation in the publication record is Pokhara University, Nepal.

How many publications and citations does Yagyanath Rimal have?

OpenAlex counts 47 works and 405 citations for Yagyanath Rimal, an h-index of 8, ranking #1,857,187 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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