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Researcher · University of Rijeka · Croatia

Victor Sucic

Victor Sucic publishes mostly in Computer Vision and Pattern Recognition, Control and Systems Engineering and Signal Processing, on topics such as Image and Signal Denoising Methods, Machine Fault Diagnosis Techniques and Blind Source Separation Techniques.

ORCID 0000-0002-5345-4706 OpenAlex
World rank
#5,169,889
of 7,710,434 ranked researchers
Rank in Croatia
#4,935
of 20,196
Works
86
Citations
818
Citations per work
9.5
h-index
13
i10-index 25Top 30% in Computer Vision and Pattern Recognition
Victor Sucic

What does Victor Sucic research?

Victor Sucic's work is mostly in Engineering (36%), Computer Science (35%).

Physical Sciences: 61 works · 71.1% of their workEngineering: 31 works · 35.8% of their workControl and Systems Engineering: 16 works · 18.7% of their workComputational Mechanics: 6 works · 6.5% of their workElectrical and Electronic Engineering: 5 works · 5.7% of their workCivil and Structural Engineering: 4 works · 4.9% of their workComputer Science: 30 works · 35.3% of their workComputer Vision and Pattern Recognition: 18 works · 21.1% of their workSignal Processing: 12 works · 14.2% of their workEverything else: 25 works · 28.9% of their workTHEIR WORKVictor Sucic86works
Physical Sciences71%

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. Engineering3135.8%
    2. Computer Science3035.3%
  2. Everything else2528.9%
  1. 1Computer Vision and Pattern Recognition21% of their works
  2. 2Control and Systems Engineering19% of their works
  3. 3Signal Processing14% of their works
  4. 4Computational Mechanics6% of their works
  5. 5Electrical and Electronic Engineering6% of their works
  6. 6Civil and Structural Engineering5% of their works

Research topics

Which keywords describe Victor Sucic's research?

The keywords of their largest research topics: Deep Learning, Wavelet Transform, Sparse Representation, Machine Learning, Neural Networks, Image Denoising, Sparse Representations and Empirical Mode Decomposition.

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 21 words, with their numbers
  1. Deep Learning793 topics
  2. Wavelet Transform722 topics
  3. Sparse Representation483 topics
  4. Machine Learning462 topics
  5. Neural Networks402 topics
  6. Image Denoising391 topic
  7. Sparse Representations391 topic
  8. Empirical Mode Decomposition331 topic
  9. Fault Diagnosis331 topic
  10. Blind Separation281 topic
  11. Independent Component Analysis281 topic
  12. Compressed Sensing131 topic
  13. Fault Detection131 topic
  14. Process Monitoring131 topic
  15. Signal Recovery131 topic
  16. Vibration-based Damage Identification121 topic
  17. Wireless Sensors121 topic
  18. Photoacoustic Imaging81 topic
  19. Tomography81 topic
  20. Image71 topic
  21. Super-Resolution71 topic

Where does Victor Sucic work?

Victor Sucic's main affiliation in the publication record is University of Rijeka, Croatia.

How many publications and citations does Victor Sucic have?

OpenAlex counts 86 works and 818 citations for Victor Sucic, an h-index of 13, ranking #5,169,889 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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