Science Explorer Back to mapMap
Discussion
Researcher · Technical University of Košice · Slovakia

Matúš Dopiriak

Matúš Dopiriak publishes mostly in Computer Vision and Pattern Recognition, Automotive Engineering and Aerospace Engineering, on topics such as Autonomous Vehicle Technology and Safety, Computer Graphics and Visualization Techniques and Advanced Neural Network Applications.

ORCID 0000-0001-5423-9103 OpenAlex
World rank
#4,634,202
of 7,710,434 ranked researchers
Rank in Slovakia
#4,082
of 12,450
Works
19
Citations
58
Citations per work
3.1
h-index
4
i10-index 2Top 94% in Computer Vision and Pattern Recognition
Matúš Dopiriak

What does Matúš Dopiriak research?

Matúš Dopiriak's work is mostly in Computer Science (45%), Engineering (35%), Biochemistry, Genetics and Molecular Biology (2%).

Physical Sciences: 15 works · 80.4% of their workComputer Science: 9 works · 45.1% of their workComputer Vision and Pattern Recognition: 7 works · 35.3% of their workComputer Graphics and Computer-Aided Design: 2 works · 9.8% of their workEngineering: 7 works · 35.3% of their workAutomotive Engineering: 3 works · 17.6% of their workAerospace Engineering: 2 works · 11.8% of their workControl and Systems Engineering: 1 works · 5.9% of their workEverything else: 3 works · 17.6% of their workLife Sciences: 0 works · 2.0% of their workBiochemistry, Genetics and Molecular Biology: 0 works · 2.0% of their workBiophysics: 0 works · 2.0% of their workTHEIR WORKMatúš Dopiriak19works
Life Sciences2%Physical Sciences80%

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 Science945.1%
    2. Engineering735.3%
  2. Everything else317.6%
    1. Biochemistry, Genetics and Molecular Biology02.0%
  1. 1Computer Vision and Pattern Recognition35% of their works
  2. 2Automotive Engineering18% of their works
  3. 3Aerospace Engineering12% of their works
  4. 4Computer Graphics and Computer-Aided Design10% of their works
  5. 5Control and Systems Engineering6% of their works
  6. 6Biophysics2% of their works

Research topics

Which keywords describe Matúš Dopiriak's research?

The keywords of their largest research topics: Deep Learning, Autonomous Vehicles, Convolutional Neural Networks, Trajectory Prediction, Computer Graphics, Visualization, Image Recognition 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.

All 19 words, with their numbers
  1. Deep Learning165 topics
  2. Autonomous Vehicles61 topic
  3. Convolutional Neural Networks62 topics
  4. Trajectory Prediction61 topic
  5. Computer Graphics51 topic
  6. Visualization51 topic
  7. Image Recognition41 topic
  8. Image Segmentation42 topics
  9. Object Detection41 topic
  10. Depth Estimation31 topic
  11. Stereo Vision31 topic
  12. 3D Mapping21 topic
  13. Graph Cuts21 topic
  14. Medical Image Analysis21 topic
  15. Object Tracking21 topic
  16. SLAM21 topic
  17. Saliency Detection21 topic
  18. Visual Attention21 topic
  19. Visual Tracking21 topic

Where does Matúš Dopiriak work?

Matúš Dopiriak's main affiliation in the publication record is Technical University of Košice, Slovakia.

How many publications and citations does Matúš Dopiriak have?

OpenAlex counts 19 works and 58 citations for Matúš Dopiriak, an h-index of 4, ranking #4,634,202 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.

Discussion

Ask a question or share a note about Matúš Dopiriak. Posts are plain text and can be reported.