Christian Schütz

1.6k citations
23 papers · 1.1k indexed · 1 hit paper · h-index 8

Christian Schütz

19 papers receiving 1.0k citations

Hit Papers

Deep Multi-Modal Object Detection and Semantic Segmentati...8642020202620222024250500750

Peers

Christian Schütz
Comparison fields: 5 of 104
  • Computer Vision and Pattern Recognition 644
  • Automotive Engineering 192
  • Geology 88
  • Instrumentation 41
  • Aerospace Engineering 286
Replace João Carreira with:
João Carreira United States
Seiichi Mita Japan
Hongkai Yu United States
Cédric Demonceaux France
Guilherme N. DeSouza United States
Vijay John Japan
Christos Sakaridis Switzerland
Claudius Gläser Germany
Jinshi Cui China
Christian Schütz relative to João Carreira United States João Carreira's profile →
Citations per field
00.5×3.6×
João Carreira · 1×
Citations per year

Countries citing papers authored by Christian Schütz

Since Specialization
Citations

This map shows the geographic impact of Christian Schütz's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Christian Schütz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian Schütz more than expected).

Fields of papers citing papers by Christian Schütz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christian Schütz. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Christian Schütz. The network helps show where Christian Schütz may publish in the future.

Co-authorship network

The 20 scholars most cited alongside Christian Schütz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Christian Schütz Line = papers co-authored together Christian Schütz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challengesbreakdown →
2020864
2 20193
3 201746
4 200710
5 200237
6 20020
7 19993
8 19983
9
Geometric point matching of free-form 3D objects
19982
10
Augmented Reality as an Interactive Tool for Microscopic Imaging, Measurement and Model Based Verification of Simulated Parts
19981
11 19976
12
Computer vision of free-form 3D objects by geometric matching
19961
13
HOW WELL PERFORMS FREE-FORM 3D OBJECT RECOGNITION FROM RANGE IMAGES?
19966
14 19962
15 19967
16 19963
17
Geometric Matching for Free-Form 3D Object Recognition
199511
18 19954
19
Recognition of 3-D objects with a closest point matching algorithm
19956
20 199510

About Christian Schütz

Christian Schütz is a scholar working on Geology, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 23 papers that have together received 1.1k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (14 papers), 3D Surveying and Cultural Heritage (12 papers), 3D Shape Modeling and Analysis (6 papers), Advanced Vision and Imaging (4 papers), Image Processing and 3D Reconstruction (3 papers), Augmented Reality Applications (2 papers), Optical measurement and interference techniques (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (644 citations), Automotive Engineering (192 citations) and Geology (88 citations). Christian Schütz has collaborated with scholars based in Switzerland and Germany. Frequent co-authors include Heinz Hertlein, W. Wiesbeck, Klaus Dietmayer, Fabian Timm, Di Feng, Claudius Gläser, Lars Rosenbaum, Heinz Hügli, Timothée Jost and Holger Schulze. Their work appears in journals such as Scientific Reports, IEEE Transactions on Intelligent Transportation Systems and Lecture notes in computer science.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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2026