Felix Nobis

584 total citations
8 papers, 345 citations indexed

About

Felix Nobis is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Aerospace Engineering. According to data from OpenAlex, Felix Nobis has authored 8 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 4 papers in Automotive Engineering and 4 papers in Aerospace Engineering. Recurrent topics in Felix Nobis's work include Autonomous Vehicle Technology and Safety (4 papers), Advanced Neural Network Applications (4 papers) and Robotic Path Planning Algorithms (3 papers). Felix Nobis is often cited by papers focused on Autonomous Vehicle Technology and Safety (4 papers), Advanced Neural Network Applications (4 papers) and Robotic Path Planning Algorithms (3 papers). Felix Nobis collaborates with scholars based in Germany and United States. Felix Nobis's co-authors include Markus Lienkamp, Johannes Betz, Markus Weber, Maximilian Geisslinger, Leonhard Hermansdorfer, Alexander Wischnewski, Alexander Heilmeier, Ehsan Shafiei, Phillip Karle and Thomas Herrmann and has published in prestigious journals such as Sensors, Applied Sciences and mediaTUM (Technical University of Munich).

In The Last Decade

Felix Nobis

8 papers receiving 333 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Felix Nobis Germany	7	191	150	114	42	38	8	345
R. Omar Chavéz-García Switzerland	5	194 1.0×	133 0.9×	100 0.9×	47 1.1×	38 1.0×	9	352
Jae Shin Yoon United States	8	330 1.7×	119 0.8×	78 0.7×	30 0.7×	40 1.1×	16	424
Hyunggi Cho United States	7	298 1.6×	134 0.9×	179 1.6×	84 2.0×	37 1.0×	7	487
Zhenglong Guo China	4	193 1.0×	83 0.6×	91 0.8×	36 0.9×	48 1.3×	6	299
Inwook Shim South Korea	10	187 1.0×	115 0.8×	56 0.5×	18 0.4×	46 1.2×	29	301
Sihan Chen China	7	146 0.8×	162 1.1×	47 0.4×	47 1.1×	44 1.2×	16	298
Zhixiong Ma China	7	118 0.6×	138 0.9×	55 0.5×	61 1.5×	33 0.9×	23	312
Haibao Yu China	5	253 1.3×	86 0.6×	138 1.2×	46 1.1×	60 1.6×	11	395
Zebang Yang China	3	187 1.0×	78 0.5×	91 0.8×	38 0.9×	48 1.3×	7	289
Carlos Guindel Spain	8	149 0.8×	115 0.8×	70 0.6×	19 0.5×	52 1.4×	16	286

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

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8 of 8 papers shown

1.

Nobis, Felix, Ehsan Shafiei, Phillip Karle, Johannes Betz, & Markus Lienkamp. (2021). Radar Voxel Fusion for 3D Object Detection. Applied Sciences. 11(12). 5598–5598. 30 indexed citations

2.

Nobis, Felix, et al.. (2021). Kernel Point Convolution LSTM Networks for Radar Point Cloud Segmentation. Applied Sciences. 11(6). 2599–2599. 19 indexed citations

3.

Nobis, Felix, et al.. (2020). Importance of Contextual Information for the Detection of Road Damages. mediaTUM (Technical University of Munich). 4. 1–7. 1 indexed citations

4.

Nobis, Felix, Johannes Betz, Leonhard Hermansdorfer, & Markus Lienkamp. (2019). Autonomous Racing. 82–89. 8 indexed citations

5.

Betz, Johannes, et al.. (2019). SemanticDepth: Fusing Semantic Segmentation and Monocular Depth Estimation for Enabling Autonomous Driving in Roads without Lane Lines. Sensors. 19(14). 3224–3224. 18 indexed citations

6.

Betz, Johannes, Alexander Wischnewski, Alexander Heilmeier, et al.. (2019). A Software Architecture for an Autonomous Racecar. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 1–6. 27 indexed citations

7.

Betz, Johannes, Alexander Wischnewski, Alexander Heilmeier, et al.. (2019). A Software Architecture for the Dynamic Path Planning of an Autonomous Racecar at the Limits of Handling. mediaTUM (Technical University of Munich). 1–8. 24 indexed citations

8.

Nobis, Felix, Maximilian Geisslinger, Markus Weber, Johannes Betz, & Markus Lienkamp. (2019). A Deep Learning-based Radar and Camera Sensor Fusion Architecture for Object Detection. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 1–7. 218 indexed citations

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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