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Researcher · Sepuluh Nopember Institute of Technology · Indonesia

I Ketut Eddy Purnama

I Ketut Eddy Purnama publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems, on topics such as Computer Science and Engineering, Medical Imaging and Analysis and Medical Image Segmentation Techniques.

ORCID 0000-0002-7438-7880 OpenAlex
World rank
#7,042,658
of 7,710,434 ranked researchers
Rank in Indonesia
#110,931
of 148,020
Works
271
Citations
1.6k
Citations per work
5.8
h-index
19
i10-index 45Top 15% in Computer Vision and Pattern Recognition
I Ketut Eddy Purnama

What does I Ketut Eddy Purnama research?

I Ketut Eddy Purnama's work is mostly in Computer Science (41%), Engineering (7%), Medicine (6%).

Physical Sciences: 130 works · 48.1% of their workComputer Science: 112 works · 41.4% of their workComputer Vision and Pattern Recognition: 53 works · 19.6% of their workArtificial Intelligence: 38 works · 14.0% of their workInformation Systems: 21 works · 7.8% of their workEngineering: 18 works · 6.7% of their workBiomedical Engineering: 18 works · 6.7% of their workEverything else: 115 works · 42.4% of their workHealth Sciences: 17 works · 6.4% of their workMedicine: 17 works · 6.4% of their workRadiology, Nuclear Medicine and Imaging: 17 works · 6.4% of their workLife Sciences: 8 works · 3.1% of their workNeuroscience: 8 works · 3.1% of their workNeurology: 8 works · 3.1% of their workTHEIR WORKI Ketut EddyPurnama271works
Life Sciences3%Physical Sciences48%Health 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 Science11241.4%
    2. Engineering186.7%
  2. Everything else11542.4%
    1. Medicine176.4%
    1. Neuroscience83.1%
  1. 1Computer Vision and Pattern Recognition20% of their works
  2. 2Artificial Intelligence14% of their works
  3. 3Information Systems8% of their works
  4. 4Biomedical Engineering7% of their works
  5. 5Radiology, Nuclear Medicine and Imaging6% of their works
  6. 6Neurology3% of their works

Research topics

Which keywords describe I Ketut Eddy Purnama's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, Medical Image Analysis, Artificial Intelligence, Image Segmentation, Data Mining, Feature Extraction and Convolutional Neural Networks.

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 24 words, with their numbers
  1. Machine Learning1035 topics
  2. Deep Learning884 topics
  3. Medical Image Analysis834 topics
  4. Artificial Intelligence653 topics
  5. Image Segmentation452 topics
  6. Data Mining402 topics
  7. Feature Extraction372 topics
  8. Convolutional Neural Networks342 topics
  9. Artificial Neural Networks281 topic
  10. Digital Image Processing281 topic
  11. Spine Segmentation251 topic
  12. Vertebrae Detection251 topic
  13. Active Contours241 topic
  14. Graph Cuts241 topic
  15. Brain Tumor211 topic
  16. MRI211 topic
  17. Classification Algorithms201 topic
  18. Decision Support System201 topic
  19. Expert Systems201 topic
  20. Neural Networks201 topic
  21. Computer-Aided Detection181 topic
  22. Histopathology Images181 topic
  23. Leukemia Classification161 topic
  24. Malaria Parasite Detection161 topic

Where does I Ketut Eddy Purnama work?

I Ketut Eddy Purnama's main affiliation in the publication record is Sepuluh Nopember Institute of Technology, Indonesia.

How many publications and citations does I Ketut Eddy Purnama have?

OpenAlex counts 271 works and 1,584 citations for I Ketut Eddy Purnama, an h-index of 19, ranking #7,042,658 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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