Science Explorer Back to mapMap
Discussion
Researcher · Mercedes-Benz (Germany) · Germany

Dominik Scheuble

Dominik Scheuble publishes mostly in Instrumentation, Computer Vision and Pattern Recognition and Automotive Engineering, on topics such as Advanced Optical Sensing Technologies, Autonomous Vehicle Technology and Safety and Advanced Vision and Imaging.

ORCID 0000-0003-1859-687X OpenAlex
World rank
#3,826,399
of 7,710,434 ranked researchers
Rank in Germany
#191,955
of 364,343
Works
17
Citations
163
Citations per work
9.6
h-index
4
i10-index 3Top 88% in Instrumentation
Dominik Scheuble

What does Dominik Scheuble research?

Dominik Scheuble's work is mostly in Engineering (34%), Computer Science (18%), Physics and Astronomy (18%).

Physical Sciences: 14 works · 79.6% of their workEngineering: 6 works · 34.1% of their workAutomotive Engineering: 2 works · 13.6% of their workAerospace Engineering: 2 works · 11.4% of their workBiomedical Engineering: 2 works · 9.1% of their workComputer Science: 3 works · 18.2% of their workComputer Vision and Pattern Recognition: 3 works · 18.2% of their workPhysics and Astronomy: 3 works · 18.2% of their workInstrumentation: 3 works · 18.2% of their workEnvironmental Science: 2 works · 9.1% of their workEnvironmental Engineering: 2 works · 9.1% of their workEverything else: 3 works · 20.4% of their workTHEIR WORKDominik Scheuble17works
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. Engineering634.1%
    2. Computer Science318.2%
    3. Physics and Astronomy318.2%
    4. Environmental Science29.1%
  2. Everything else320.4%
  1. 1Instrumentation18% of their works
  2. 2Computer Vision and Pattern Recognition18% of their works
  3. 3Automotive Engineering14% of their works
  4. 4Aerospace Engineering11% of their works
  5. 5Biomedical Engineering9% of their works
  6. 6Environmental Engineering9% of their works

Research topics

Which keywords describe Dominik Scheuble's research?

The keywords of their largest research topics: Deep Learning, Laser Ranging, Time-of-Flight, Autonomous Vehicles, Trajectory Prediction, Depth Estimation, Stereo Vision and 3D Mapping.

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 17 words, with their numbers
  1. Deep Learning83 topics
  2. Laser Ranging81 topic
  3. Time-of-Flight81 topic
  4. Autonomous Vehicles41 topic
  5. Trajectory Prediction41 topic
  6. Depth Estimation31 topic
  7. Stereo Vision31 topic
  8. 3D Mapping21 topic
  9. Biosynthesis21 topic
  10. Computer Graphics21 topic
  11. Contrast Enhancement21 topic
  12. Convolutional Neural Networks21 topic
  13. Cuticular Wax21 topic
  14. Dehazing21 topic
  15. Image Recognition21 topic
  16. SLAM21 topic
  17. Visualization21 topic

Where does Dominik Scheuble work?

Dominik Scheuble's main affiliation in the publication record is Mercedes-Benz (Germany), Germany.

How many publications and citations does Dominik Scheuble have?

OpenAlex counts 17 works and 163 citations for Dominik Scheuble, an h-index of 4, ranking #3,826,399 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

Ask a question or share a note about Dominik Scheuble. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.