Peter Pinggera

502 total citations
5 papers, 236 citations indexed

About

Peter Pinggera is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Aerospace Engineering. According to data from OpenAlex, Peter Pinggera has authored 5 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 3 papers in Automotive Engineering and 3 papers in Aerospace Engineering. Recurrent topics in Peter Pinggera's work include Autonomous Vehicle Technology and Safety (3 papers), Advanced Vision and Imaging (3 papers) and Advanced Neural Network Applications (2 papers). Peter Pinggera is often cited by papers focused on Autonomous Vehicle Technology and Safety (3 papers), Advanced Vision and Imaging (3 papers) and Advanced Neural Network Applications (2 papers). Peter Pinggera collaborates with scholars based in Germany, Sweden and Austria. Peter Pinggera's co-authors include Uwe Franke, Sebastian Ramos, Stefan Gehrig, Carsten Rother, Horst Bischof, Toby P. Breckon, Björn Ommer, Andreas Geiger, Frank Moosmann and Rudolf Mester and has published in prestigious journals such as 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and Durham Research Online (Durham University).

In The Last Decade

Peter Pinggera

5 papers receiving 230 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peter Pinggera Germany	4	171	62	52	44	24	5	236
Xuanyao Chen China	4	198 1.2×	60 1.0×	113 2.2×	33 0.8×	20 0.8×	4	288
Guoxin Zhang China	6	232 1.4×	61 1.0×	105 2.0×	43 1.0×	24 1.0×	9	331
Haiyue Wei China	7	183 1.1×	43 0.7×	97 1.9×	25 0.6×	21 0.9×	8	268
Zhengxu Yu China	8	227 1.3×	46 0.7×	90 1.7×	43 1.0×	10 0.4×	10	295
Qi-Zhi Cai United States	5	212 1.2×	57 0.9×	48 0.9×	91 2.1×	14 0.6×	6	287
Hang Zhao China	8	278 1.6×	61 1.0×	165 3.2×	45 1.0×	23 1.0×	17	395
Meiqing Wu Singapore	11	229 1.3×	26 0.4×	105 2.0×	54 1.2×	18 0.8×	39	283
Zebang Yang China	3	187 1.1×	91 1.5×	78 1.5×	30 0.7×	12 0.5×	7	289
Caglayan Dicle United States	5	247 1.4×	44 0.7×	48 0.9×	72 1.6×	6 0.3×	6	292

Countries citing papers authored by Peter Pinggera

Since Specialization

Citations

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

Fields of papers citing papers by Peter Pinggera

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Pinggera

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Pinggera. A scholar is included among the top collaborators of Peter Pinggera 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 Peter Pinggera. Peter Pinggera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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5 of 5 papers shown

1.

Pinggera, Peter, et al.. (2021). VelocityNet: Motion-Driven Feature Aggregation for 3D Object Detection in Point Cloud Sequences. 13279–13285. 3 indexed citations

2.

Moosmann, Frank, et al.. (2021). SLIM: Self-Supervised LiDAR Scene Flow and Motion Segmentation. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 13106–13116. 55 indexed citations

3.

Ramos, Sebastian, Stefan Gehrig, Peter Pinggera, Uwe Franke, & Carsten Rother. (2017). Detecting unexpected obstacles for self-driving cars: Fusing deep learning and geometric modeling. 1025–1032. 115 indexed citations

4.

Pinggera, Peter, Uwe Franke, & Rudolf Mester. (2015). High-performance long range obstacle detection using stereo vision. 1308–1313. 19 indexed citations

5.

Pinggera, Peter, Toby P. Breckon, & Horst Bischof. (2012). On Cross-Spectral Stereo Matching using Dense Gradient Features. Durham Research Online (Durham University). 103.1–103.12. 44 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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