Karsten Behrendt

550 total citations
8 papers, 383 citations indexed

About

Karsten Behrendt is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Ophthalmology. According to data from OpenAlex, Karsten Behrendt has authored 8 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Automotive Engineering, 6 papers in Computer Vision and Pattern Recognition and 1 paper in Ophthalmology. Recurrent topics in Karsten Behrendt's work include Autonomous Vehicle Technology and Safety (7 papers), Advanced Neural Network Applications (6 papers) and Video Surveillance and Tracking Methods (4 papers). Karsten Behrendt is often cited by papers focused on Autonomous Vehicle Technology and Safety (7 papers), Advanced Neural Network Applications (6 papers) and Video Surveillance and Tracking Methods (4 papers). Karsten Behrendt collaborates with scholars based in United States, India and Germany. Karsten Behrendt's co-authors include Roland Siegwart, Juan Nieto, Holger Mielenz, Igor Gilitschenski, Jonas Witt, Abhishek Sharma, Oleg V. Komogortsev, Sachin S. Talathi, Cristina Palmero and Stéphanie Lefèvre and has published in prestigious journals such as Sensors.

In The Last Decade

Karsten Behrendt

8 papers receiving 362 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Karsten Behrendt United States	7	265	213	59	51	50	8	383
Neeraj K. Kanhere United States	11	335 1.3×	155 0.7×	46 0.8×	69 1.4×	73 1.5×	18	452
Morten B. Jensen Denmark	9	269 1.0×	125 0.6×	44 0.7×	20 0.4×	40 0.8×	17	426
Hyunggi Cho United States	7	298 1.1×	179 0.8×	73 1.2×	34 0.7×	21 0.4×	7	487
Suree Pumrin Thailand	10	270 1.0×	118 0.6×	51 0.9×	23 0.5×	37 0.7×	34	402
Johann Edelbrunner Germany	7	216 0.8×	154 0.7×	60 1.0×	41 0.8×	25 0.5×	9	335
Huai Yuan China	13	312 1.2×	162 0.8×	44 0.7×	22 0.4×	18 0.4×	31	373
Mirko Meuter Germany	10	248 0.9×	194 0.9×	59 1.0×	22 0.4×	17 0.3×	26	350
Miguel Ángel García-Garrido Spain	9	354 1.3×	114 0.5×	52 0.9×	31 0.6×	28 0.6×	15	489
A. Joos Germany	5	184 0.7×	220 1.0×	39 0.7×	61 1.2×	34 0.7×	6	378
Jon Arróspide Spain	11	326 1.2×	175 0.8×	51 0.9×	18 0.4×	21 0.4×	18	395

Countries citing papers authored by Karsten Behrendt

Since Specialization

Citations

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

Fields of papers citing papers by Karsten Behrendt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karsten Behrendt

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Palmero, Cristina, et al.. (2021). OpenEDS2020 Challenge on Gaze Tracking for VR: Dataset and Results. Sensors. 21(14). 4769–4769. 12 indexed citations

2.

Behrendt, Karsten, et al.. (2019). Unsupervised Labeled Lane Markers Using Maps. 832–839. 71 indexed citations

3.

Behrendt, Karsten. (2019). Boxy Vehicle Detection in Large Images. 840–846. 22 indexed citations

4.

Behrendt, Karsten, et al.. (2019). Long-term Labeling: Reusing Annotations for Changing Detections. 2. 2074–2080. 1 indexed citations

5.

Behrendt, Karsten, et al.. (2019). Is This Car Going to Move? Parked Car Classification for Automated Vehicles. 541–548. 7 indexed citations

6.

Behrendt, Karsten, et al.. (2017). A deep learning approach to traffic lights: Detection, tracking, and classification. 1370–1377. 183 indexed citations

7.

Behrendt, Karsten & Jonas Witt. (2017). Deep learning lane marker segmentation from automatically generated labels. 777–782. 14 indexed citations

8.

Behrendt, Karsten, et al.. (2016). A data-driven approach for pedestrian intention estimation. 2607–2612. 73 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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