Science Explorer Back to mapMap
Discussion
Researcher · University of Zurich · Switzerland

Davide Scaramuzza

Davide Scaramuzza publishes mostly in Computer Vision and Pattern Recognition, Aerospace Engineering and Electrical and Electronic Engineering, on topics such as Robotics and Sensor-Based Localization, Advanced Vision and Imaging and Robotic Path Planning Algorithms.

ORCID 0000-0002-3831-6778 OpenAlex
World rank
#882
of 7,710,434 ranked researchers
Rank in Switzerland
#3
of 80,918
Works
537
Citations
46k
Citations per work
84.9
h-index
113
i10-index 304Top 0.1% in Computer Vision and Pattern Recognition
Davide Scaramuzza

What does Davide Scaramuzza research?

Davide Scaramuzza's work is mostly in Engineering (40%), Computer Science (33%), Neuroscience (3%).

Physical Sciences: 397 works · 73.9% of their workEngineering: 217 works · 40.5% of their workAerospace Engineering: 104 works · 19.4% of their workElectrical and Electronic Engineering: 78 works · 14.5% of their workControl and Systems Engineering: 35 works · 6.6% of their workComputer Science: 179 works · 33.4% of their workComputer Vision and Pattern Recognition: 141 works · 26.2% of their workArtificial Intelligence: 39 works · 7.2% of their workEverything else: 126 works · 23.4% of their workLife Sciences: 14 works · 2.7% of their workNeuroscience: 14 works · 2.7% of their workCognitive Neuroscience: 14 works · 2.7% of their workTHEIR WORKDavide Scaramuzza537works
Life Sciences3%Physical Sciences74%

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. Engineering21740.5%
    2. Computer Science17933.4%
  2. Everything else12623.4%
    1. Neuroscience142.7%
  1. 1Computer Vision and Pattern Recognition26% of their works
  2. 2Aerospace Engineering19% of their works
  3. 3Electrical and Electronic Engineering14% of their works
  4. 4Artificial Intelligence7% of their works
  5. 5Control and Systems Engineering7% of their works
  6. 6Cognitive Neuroscience3% of their works

Research topics

Which keywords describe Davide Scaramuzza's research?

The keywords of their largest research topics: Robotics, 3D Mapping, SLAM, Multi-Agent Systems, Neural Networks, Depth Estimation, Stereo Vision and Optimal Motion Planning.

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 20 words, with their numbers
  1. Robotics2792 topics
  2. 3D Mapping2461 topic
  3. SLAM2461 topic
  4. Multi-Agent Systems1522 topics
  5. Neural Networks1442 topics
  6. Depth Estimation1241 topic
  7. Stereo Vision1241 topic
  8. Optimal Motion Planning1191 topic
  9. Sampling-Based Algorithms1191 topic
  10. Memristor1111 topic
  11. Neuromorphic Computing1111 topic
  12. Deep Learning902 topics
  13. Feature Matching571 topic
  14. Local Descriptors571 topic
  15. CMOS Image Sensors561 topic
  16. High-Speed Imaging561 topic
  17. Photogrammetry341 topic
  18. UAV341 topic
  19. Autonomous Control331 topic
  20. Reinforcement Learning331 topic

Where does Davide Scaramuzza work?

Davide Scaramuzza's main affiliation in the publication record is University of Zurich, Switzerland.

How many publications and citations does Davide Scaramuzza have?

OpenAlex counts 537 works and 45,600 citations for Davide Scaramuzza, an h-index of 113, ranking #882 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.

Other researchers named Davide Scaramuzza

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 Davide Scaramuzza. Posts are plain text and can be reported.