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Researcher · Japan Advanced Institute of Science and Technology · Japan

Natthawut Kertkeidkachorn

Natthawut Kertkeidkachorn publishes mostly in Artificial Intelligence, Signal Processing and Information Systems, on topics such as Topic Modeling, Advanced Graph Neural Networks and Natural Language Processing Techniques.

ORCID 0000-0003-4527-776X OpenAlex
World rank
#4,318,099
of 7,710,434 ranked researchers
Rank in Japan
#121,699
of 383,136
Works
88
Citations
407
Citations per work
4.6
h-index
12
i10-index 12Top 32% in Artificial Intelligence
Natthawut Kertkeidkachorn

What does Natthawut Kertkeidkachorn research?

Natthawut Kertkeidkachorn's work is mostly in Computer Science (86%), Decision Sciences (4%).

Physical Sciences: 76 works · 85.9% of their workComputer Science: 76 works · 85.9% of their workArtificial Intelligence: 59 works · 67.1% of their workSignal Processing: 6 works · 6.4% of their workInformation Systems: 5 works · 6.0% of their workComputer Vision and Pattern Recognition: 4 works · 4.0% of their workComputer Networks and Communications: 2 works · 2.4% of their workEverything else: 9 works · 9.7% of their workSocial Sciences: 4 works · 4.4% of their workDecision Sciences: 4 works · 4.4% of their workManagement Science and Operations Research: 4 works · 4.4% of their workTHEIR WORKNatthawutKertkeidkachorn88works
Physical Sciences86%Social Sciences4%

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 Science7685.9%
  2. Everything else99.7%
    1. Decision Sciences44.4%
  1. 1Artificial Intelligence67% of their works
  2. 2Signal Processing6% of their works
  3. 3Information Systems6% of their works
  4. 4Management Science and Operations Research4% of their works
  5. 5Computer Vision and Pattern Recognition4% of their works
  6. 6Computer Networks and Communications2% of their works

Research topics

Which keywords describe Natthawut Kertkeidkachorn's research?

The keywords of their largest research topics: Neural Networks, Deep Learning, Machine Translation, Word Representation, Graph Neural Networks, Knowledge Graph Embedding, Neural Machine Translation and Statistical Machine Translation.

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 18 words, with their numbers
  1. Neural Networks583 topics
  2. Deep Learning463 topics
  3. Machine Translation391 topic
  4. Word Representation391 topic
  5. Graph Neural Networks261 topic
  6. Knowledge Graph Embedding261 topic
  7. Neural Machine Translation211 topic
  8. Statistical Machine Translation211 topic
  9. Ontology181 topic
  10. Semantic Web181 topic
  11. Opinion Mining121 topic
  12. Sentiment Analysis121 topic
  13. Automatic111 topic
  14. Extraction111 topic
  15. Acoustic Modeling81 topic
  16. Audio-Visual Speech Recognition81 topic
  17. Deep Neural Networks81 topic
  18. Speech Enhancement81 topic

Where does Natthawut Kertkeidkachorn work?

Natthawut Kertkeidkachorn's main affiliation in the publication record is Japan Advanced Institute of Science and Technology, Japan.

How many publications and citations does Natthawut Kertkeidkachorn have?

OpenAlex counts 88 works and 407 citations for Natthawut Kertkeidkachorn, an h-index of 12, ranking #4,318,099 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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