Dominik Nuß

490 citations
23 papers · 348 · h-index 11

Impact in

Papers in

Dominik Nuß

23 papers receiving 326 citations

Peers

Dominik Nuß
Comparison fields: 5 of 47
  • Automotive Engineering 179
  • Computer Vision and Pattern Recognition 139
  • Aerospace Engineering 142
  • Instrumentation 14
  • Artificial Intelligence 110
Replace Hendrik Deusch with:
Hendrik Deusch Germany
Norman Mattern Germany
Srikanth Malla United States
Trung-Dung Vu France
Christophe Blanc France
Marcus Obst Germany
R. Omar Chavéz-García Switzerland
Arne Suppé United States
Stefan Müller-Schneiders Germany
Benjamin Caine United States
Dominik Nuß relative to Hendrik Deusch Germany Hendrik Deusch's profile →
Citations per field
00.5×
Hendrik Deusch · 1×
Citations per year

Countries citing papers authored by Dominik Nuß

Since Specialization
Citations

This map shows the geographic impact of Dominik Nuß'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 Dominik Nuß with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dominik Nuß more than expected).

Fields of papers citing papers by Dominik Nuß

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dominik Nuß. 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 Dominik Nuß. The network helps show where Dominik Nuß may publish in the future.

Co-authors

The 20 scholars most cited alongside Dominik Nuß, 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 Dominik Nuß Line = papers co-authored together Dominik Nuß links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201580
2 201549
3 201434
4 201727
5 201419
6 201218
7 201417
8 201915
9
Fusion of laser and monocular camera data in object grid maps for vehicle environment perception
201415
10 201315
11 201210
12 20139
13 20157
14 20157
15 20156
16 20186
17 20153
18 20173
19 20232
20 20242

About Dominik Nuß

Dominik Nuß is a scholar working on Automotive Engineering, Artificial Intelligence, Aerospace Engineering, Computer Vision and Pattern Recognition and Signal Processing, having authored 23 papers that have together received 348 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (9 papers), Target Tracking and Data Fusion in Sensor Networks (9 papers), Robotics and Sensor-Based Localization (7 papers), Time Series Analysis and Forecasting (4 papers), Structural Analysis and Optimization (3 papers), Video Surveillance and Tracking Methods (3 papers), Additive Manufacturing and 3D Printing Technologies (3 papers) and Advanced Vision and Imaging (2 papers). The work is most often cited by research in Automotive Engineering (179 citations), Computer Vision and Pattern Recognition (139 citations), Aerospace Engineering (142 citations), Instrumentation (14 citations) and Artificial Intelligence (110 citations). Dominik Nuß has collaborated with scholars based in Germany and United States. Frequent co-authors include Klaus Dietmayer, Stephan Reuter, Hendrik Deusch, Felix Kunz, Jürgen Wiest, Martin Fritzsche, Ting Yuan, Alexander Scheel, Martin Bach and Chokri Cherif. Their work appears in journals such as Fibres and Textiles in Eastern Europe, ChemSusChem, Journal of Industrial Textiles, Textile Research Journal and Diffusion and defect data, solid state data. Part B, Solid state phenomena/Solid state phenomena.

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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