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Researcher · Profactor (Austria) · Austria

Sebastian Zambal

Sebastian Zambal publishes mostly in Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, on topics such as Manufacturing Process and Optimization, Industrial Vision Systems and Defect Detection and Medical Image Segmentation Techniques.

ORCID 0000-0001-9235-0590 OpenAlex
World rank
#2,204,208
of 7,710,434 ranked researchers
Rank in Austria
#13,262
of 43,330
Works
42
Citations
659
Citations per work
15.7
h-index
8
i10-index 8Top 54% in Industrial and Manufacturing Engineering (Engineering)
Sebastian Zambal

What does Sebastian Zambal research?

Sebastian Zambal's work is mostly in Computer Science (36%), Engineering (33%), Medicine (6%).

Physical Sciences: 29 works · 68.9% of their workComputer Science: 15 works · 35.9% of their workComputer Vision and Pattern Recognition: 11 works · 25.5% of their workArtificial Intelligence: 3 works · 6.6% of their workComputer Graphics and Computer-Aided Design: 2 works · 3.8% of their workEngineering: 14 works · 33.0% of their workIndustrial and Manufacturing Engineering: 12 works · 28.3% of their workMechanical Engineering: 2 works · 4.7% of their workEverything else: 11 works · 25.4% of their workHealth Sciences: 2 works · 5.7% of their workMedicine: 2 works · 5.7% of their workRadiology, Nuclear Medicine and Imaging: 2 works · 5.7% of their workTHEIR WORKSebastian Zambal42works
Physical Sciences69%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 Science1535.9%
    2. Engineering1433.0%
  2. Everything else1125.4%
    1. Medicine25.7%
  1. 1Industrial and Manufacturing Engineering28% of their works
  2. 2Computer Vision and Pattern Recognition26% of their works
  3. 3Artificial Intelligence7% of their works
  4. 4Radiology, Nuclear Medicine and Imaging6% of their works
  5. 5Mechanical Engineering5% of their works
  6. 6Computer Graphics and Computer-Aided Design4% of their works

Research topics

Which keywords describe Sebastian Zambal's research?

The keywords of their largest research topics: Deep Learning, Texture Analysis, Assembly Planning, Design for Manufacture, Fabric Defect Detection, Machine Vision, Camera Calibration and Image Segmentation.

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. Deep Learning173 topics
  2. Texture Analysis142 topics
  3. Assembly Planning91 topic
  4. Design for Manufacture91 topic
  5. Fabric Defect Detection91 topic
  6. Machine Vision91 topic
  7. Camera Calibration51 topic
  8. Image Segmentation51 topic
  9. Medical Image Analysis51 topic
  10. Structured Light51 topic
  11. Order Picking41 topic
  12. Warehouse Design41 topic
  13. Anomaly Detection31 topic
  14. Computer Graphics31 topic
  15. Optimal Motion Planning31 topic
  16. Sampling-Based Algorithms31 topic
  17. Unsupervised31 topic
  18. Visualization31 topic

Where does Sebastian Zambal work?

Sebastian Zambal's main affiliation in the publication record is Profactor (Austria), Austria.

How many publications and citations does Sebastian Zambal have?

OpenAlex counts 42 works and 659 citations for Sebastian Zambal, an h-index of 8, ranking #2,204,208 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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