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Researcher · Aselsan (Turkey) · Türkiye

Alper Pahsa

Alper Pahsa publishes mostly in Materials Chemistry, Computer Vision and Pattern Recognition and Nuclear and High Energy Physics, on topics such as Medical Image Segmentation Techniques, Fusion materials and technologies and Brain Tumor Detection and Classification.

ORCID 0000-0002-9576-5297 OpenAlex
World rank
#5,416,238
of 7,710,434 ranked researchers
Rank in Türkiye
#55,164
of 117,622
Works
21
Citations
38
Citations per work
1.8
h-index
3
i10-index 2Top 98% in Materials Chemistry
Alper Pahsa

What does Alper Pahsa research?

Alper Pahsa's work is mostly in Materials Science (23%), Computer Science (16%), Engineering (11%).

Physical Sciences: 13 works · 59.7% of their workMaterials Science: 5 works · 22.8% of their workMaterials Chemistry: 5 works · 22.8% of their workComputer Science: 3 works · 15.8% of their workComputer Vision and Pattern Recognition: 3 works · 15.8% of their workEngineering: 2 works · 10.6% of their workBiomedical Engineering: 1 works · 5.3% of their workMedia Technology: 1 works · 5.3% of their workPhysics and Astronomy: 2 works · 10.5% of their workNuclear and High Energy Physics: 2 works · 10.5% of their workEverything else: 7 works · 33.3% of their workLife Sciences: 1 works · 7.0% of their workNeuroscience: 1 works · 7.0% of their workNeurology: 1 works · 7.0% of their workTHEIR WORKAlper Pahsa21works
Life Sciences7%Physical Sciences60%

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. Materials Science522.8%
    2. Computer Science315.8%
    3. Engineering210.6%
    4. Physics and Astronomy210.5%
  2. Everything else733.3%
    1. Neuroscience17.0%
  1. 1Materials Chemistry23% of their works
  2. 2Computer Vision and Pattern Recognition16% of their works
  3. 3Nuclear and High Energy Physics10% of their works
  4. 4Neurology7% of their works
  5. 5Biomedical Engineering5% of their works
  6. 6Media Technology5% of their works

Research topics

Which keywords describe Alper Pahsa's research?

The keywords of their largest research topics: Deep Learning, Image Segmentation, Medical Image Analysis, Active Contours, Convolutional Neural Network, Graph Cuts, fusion materials and radiation damage.

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 20 words, with their numbers
  1. Deep Learning133 topics
  2. Image Segmentation112 topics
  3. Medical Image Analysis92 topics
  4. Active Contours71 topic
  5. Convolutional Neural Network72 topics
  6. Graph Cuts71 topic
  7. fusion materials61 topic
  8. radiation damage61 topic
  9. Brain Tumor41 topic
  10. MRI41 topic
  11. Electron Beams31 topic
  12. Image Fusion31 topic
  13. Laser-Plasma Accelerators31 topic
  14. Multispectral31 topic
  15. Tokamak31 topic
  16. Turbulence31 topic
  17. Radiation Effects21 topic
  18. Soft Errors21 topic
  19. Spine Segmentation21 topic
  20. Vertebrae Detection21 topic

Where does Alper Pahsa work?

Alper Pahsa's main affiliation in the publication record is Aselsan (Turkey), Türkiye.

How many publications and citations does Alper Pahsa have?

OpenAlex counts 21 works and 38 citations for Alper Pahsa, an h-index of 3, ranking #5,416,238 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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