Patrick Dendorfer

743 total citations
2 papers, 71 citations indexed

About

Patrick Dendorfer is a scholar working on Automotive Engineering, Safety, Risk, Reliability and Quality and Artificial Intelligence. According to data from OpenAlex, Patrick Dendorfer has authored 2 papers receiving a total of 71 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Automotive Engineering, 1 paper in Safety, Risk, Reliability and Quality and 1 paper in Artificial Intelligence. Recurrent topics in Patrick Dendorfer's work include Traffic and Road Safety (1 paper), Anomaly Detection Techniques and Applications (1 paper) and Autonomous Vehicle Technology and Safety (1 paper). Patrick Dendorfer is often cited by papers focused on Traffic and Road Safety (1 paper), Anomaly Detection Techniques and Applications (1 paper) and Autonomous Vehicle Technology and Safety (1 paper). Patrick Dendorfer collaborates with scholars based in . Patrick Dendorfer's co-authors include Laura Leal-Taixé and has published in prestigious journals such as 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Patrick Dendorfer

1 paper receiving 67 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Patrick Dendorfer	1	55	39	26	26	14	2	71
Kuo-Hao Zeng United States	5	25 0.5×	96 2.5×	14 0.5×	45 1.7×	10 0.7×	9	125
Juanwu Lu United States	5	26 0.5×	27 0.7×	4 0.2×	22 0.8×	8 0.6×	7	62
Błażej Osiński Poland	3	43 0.8×	29 0.7×	5 0.2×	36 1.4×	6 0.4×	5	75
Frederik Diehl Germany	4	54 1.0×	45 1.2×	26 1.0×	45 1.7×	17 1.2×	4	116
Daniel Omeiza United Kingdom	6	23 0.4×	18 0.5×	9 0.3×	56 2.2×	9 0.6×	11	101
Gurkirt Singh Switzerland	4	23 0.4×	74 1.9×	3 0.1×	48 1.8×	6 0.4×	6	102
Julie Dequaire United Kingdom	2	24 0.4×	53 1.4×	4 0.2×	19 0.7×	7 0.5×	2	77
Karol Zieba United States	3	36 0.7×	49 1.3×	4 0.2×	58 2.2×	2 0.1×	4	96
Heekuck Oh United States	5	18 0.3×	14 0.4×	6 0.2×	20 0.8×	9 0.6×	8	76
Supatcha Chaimatanan France	5	13 0.2×	19 0.5×	8 0.3×	6 0.2×	5 0.4×	10	99

Countries citing papers authored by Patrick Dendorfer

Since Specialization

Citations

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

Fields of papers citing papers by Patrick Dendorfer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrick Dendorfer

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

All Works

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2 of 2 papers shown

1.

Dendorfer, Patrick, et al.. (2022). Quo Vadis: Is Trajectory Forecasting the Key Towards Long-Term Multi-Object Tracking?. 15657–15671.

2.

Dendorfer, Patrick, et al.. (2021). MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 13138–13147. 71 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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