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Researcher · Rangsit University · Thailand

M. L. Kulthon Kasemsan

M. L. Kulthon Kasemsan publishes mostly in Management Science and Operations Research, Artificial Intelligence and Computer Vision and Pattern Recognition, on topics such as Stock Market Forecasting Methods, Neural Networks and Applications and Fuzzy Logic and Control Systems.

OpenAlex
World rank
#6,056,926
of 7,710,434 ranked researchers
Rank in Thailand
#18,267
of 23,698
Works
16
Citations
50
Citations per work
3.1
h-index
4
i10-index 2Top 89% in Management Science and Operations Research
M. L. Kulthon Kasemsan

What does M. L. Kulthon Kasemsan research?

M. L. Kulthon Kasemsan's work is mostly in Computer Science (27%), Decision Sciences (18%), Economics, Econometrics and Finance (11%).

Social Sciences: 6 works · 37.8% of their workDecision Sciences: 3 works · 17.8% of their workManagement Science and Operations Research: 3 works · 17.8% of their workEconomics, Econometrics and Finance: 2 works · 11.1% of their workEconomics and Econometrics: 1 works · 6.7% of their workFinance: 1 works · 4.4% of their workBusiness, Management and Accounting: 1 works · 8.9% of their workStrategy and Management: 1 works · 8.9% of their workEverything else: 6 works · 35.6% of their workPhysical Sciences: 4 works · 26.6% of their workComputer Science: 4 works · 26.6% of their workArtificial Intelligence: 2 works · 13.3% of their workComputer Vision and Pattern Recognition: 2 works · 13.3% of their workTHEIR WORKM. L. KulthonKasemsan16works
Physical Sciences27%Social Sciences38%

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. Decision Sciences317.8%
    2. Economics, Econometrics and Finance211.1%
    3. Business, Management and Accounting18.9%
  2. Everything else635.6%
    1. Computer Science426.6%
  1. 1Management Science and Operations Research18% of their works
  2. 2Artificial Intelligence13% of their works
  3. 3Computer Vision and Pattern Recognition13% of their works
  4. 4Strategy and Management9% of their works
  5. 5Economics and Econometrics7% of their works
  6. 6Finance4% of their works

Research topics

Which keywords describe M. L. Kulthon Kasemsan's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Stock Market Prediction, Time Series Forecasting, Backpropagation Learning, Self-Organizing Maps, Asset Pricing and Dynamic Capabilities.

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 18 words, with their numbers
  1. Deep Learning133 topics
  2. Neural Networks122 topics
  3. Stock Market Prediction81 topic
  4. Time Series Forecasting81 topic
  5. Backpropagation Learning41 topic
  6. Self-Organizing Maps41 topic
  7. Asset Pricing21 topic
  8. Dynamic Capabilities21 topic
  9. Econophysics21 topic
  10. Fuzzy Logic Systems21 topic
  11. Knowledge Transfer21 topic
  12. Multifractal Analysis21 topic
  13. Stock Returns21 topic
  14. Type-2 Fuzzy Sets21 topic
  15. Fragmented Objects11 topic
  16. Reconstruction11 topic
  17. Reversible Data Embedding11 topic
  18. Steganography11 topic

Where does M. L. Kulthon Kasemsan work?

M. L. Kulthon Kasemsan's main affiliation in the publication record is Rangsit University, Thailand.

How many publications and citations does M. L. Kulthon Kasemsan have?

OpenAlex counts 16 works and 50 citations for M. L. Kulthon Kasemsan, an h-index of 4, ranking #6,056,926 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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