Felix Nobis

584 citations
8 papers · 345 indexed · h-index 7
Topics
Autonomous Vehicle Technology and Safety (4 papers)Advanced Neural Network Applications (4 papers)Robotic Path Planning Algorithms (3 papers)
Journals
SensorsApplied SciencesmediaTUM (Technical University of Munich)
Partner nations
GermanyUnited States

In The Last Decade

Felix Nobis

8 papers receiving 333 citations

Peers

Felix Nobis
Comparison fields: 5 of 48
  • Computer Vision and Pattern Recognition 191
  • Aerospace Engineering 150
  • Automotive Engineering 114
  • Electrical and Electronic Engineering 42
  • Environmental Engineering 38
Replace R. Omar Chavéz-García with:
R. Omar Chavéz-García Switzerland
Hyunggi Cho United States
Zhixiong Ma China
Daniel Meißner Germany
Minchae Lee South Korea
Haibao Yu China
Carlos Guindel Spain
Christophe Blanc France
Yuxiao Zhang Japan
Jae Shin Yoon United States
Felix Nobis relative to R. Omar Chavéz-García Switzerland R. Omar Chavéz-García's profile →
Citations per field
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R. Omar Chavéz-García · 1×
Citations per year

Countries citing papers authored by Felix Nobis

Since Specialization
Citations

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

Fields of papers citing papers by Felix Nobis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Felix Nobis

This figure shows the co-authorship network connecting the top 25 collaborators of Felix Nobis. A scholar is included among the top collaborators of Felix Nobis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Felix Nobis. Felix Nobis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
1 30
2 19
3 1
4 8
5 18
6 27
7 24
8 218

About Felix Nobis

Felix Nobis is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Instrumentation, having authored 8 papers that have together received 345 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (4 papers), Advanced Neural Network Applications (4 papers) and Robotic Path Planning Algorithms (3 papers). The work is most often cited by research in Instrumentation (35 citations), Automotive Engineering (114 citations) and Computer Vision and Pattern Recognition (191 citations). Felix Nobis has collaborated with scholars based in Germany and United States. Frequent co-authors include Markus Lienkamp, Johannes Betz, Markus Weber, Maximilian Geisslinger, Leonhard Hermansdorfer, Alexander Wischnewski, Alexander Heilmeier, Ehsan Shafiei, Phillip Karle and Thomas Herrmann. Their work appears in journals such as Sensors, Applied Sciences and mediaTUM (Technical University of Munich).

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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