Noppadol Chumchob
Noppadol Chumchob publishes mostly in Computer Vision and Pattern Recognition, Computational Mechanics and Mathematical Physics, on topics such as Medical Image Segmentation Techniques, Image and Signal Denoising Methods and Sparse and Compressive Sensing Techniques.
- World rank
- #4,585,264 of 7,710,434 ranked researchers
- Rank in Thailand
- #12,238 of 23,698
- Works
- 24
- Citations
- 219
- Citations per work
- 9.1
What does Noppadol Chumchob research?
Noppadol Chumchob's work is mostly in Computer Science (40%), Engineering (31%), Mathematics (9%).
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
- Physical Sciences2082.3%
- Computer Science1039.7%
- Engineering730.9%
- Mathematics28.8%
- Earth and Planetary Sciences12.9%
- Everything else417.7%
- 1Computer Vision and Pattern Recognition40% of their works
- 2Computational Mechanics22% of their works
- 3Mathematical Physics9% of their works
- 4Media Technology4% of their works
- 5Biomedical Engineering4% of their works
- 6Geophysics3% of their works
Research topics
- Medical Image Segmentation Techniques
- Image and Signal Denoising Methods
- Sparse and Compressive Sensing Techniques
- Numerical methods in inverse problems
- Advanced Image Processing Techniques
- Advanced Numerical Methods in Computational Mathematics
- Advanced Numerical Analysis Techniques
- Photoacoustic and Ultrasonic Imaging
Which keywords describe Noppadol Chumchob's research?
The keywords of their largest research topics: Deep Learning, Image Segmentation, Medical Image Analysis, Sparse Representation, Fluid-Structure Interaction, Image Denoising, Sparse Representations and Compressed Sensing.
- Photoacoustic Imaging
- Finite Elements
- Image
- Discontinuous Galerkin Methods
- Regularization Methods
- Compressed Sensing
- Image Denoising
- Sparse Representation
- Image Segmentation
- Deep Learning
- Medical Image Analysis
- Fluid-Structure Interaction
- Sparse Representations
- Inverse Problems
- Signal Recovery
- Finite Element Methods
- Super-Resolution
- NURBS
- Tomography
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 19 words, with their numbers
- Deep Learning263 topics
- Image Segmentation121 topic
- Medical Image Analysis121 topic
- Sparse Representation112 topics
- Fluid-Structure Interaction92 topics
- Image Denoising91 topic
- Sparse Representations91 topic
- Compressed Sensing61 topic
- Inverse Problems61 topic
- Regularization Methods61 topic
- Signal Recovery61 topic
- Discontinuous Galerkin Methods51 topic
- Finite Element Methods51 topic
- Image51 topic
- Super-Resolution51 topic
- Finite Elements41 topic
- NURBS41 topic
- Photoacoustic Imaging21 topic
- Tomography21 topic
Where does Noppadol Chumchob work?
Noppadol Chumchob's main affiliation in the publication record is Silpakorn University, Thailand.
How many publications and citations does Noppadol Chumchob have?
OpenAlex counts 24 works and 219 citations for Noppadol Chumchob, an h-index of 6, ranking #4,585,264 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.
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