Sebastian Krebs

435 total citations
13 papers, 300 citations indexed

About

Sebastian Krebs is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Artificial Intelligence. According to data from OpenAlex, Sebastian Krebs has authored 13 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 4 papers in Automotive Engineering and 2 papers in Artificial Intelligence. Recurrent topics in Sebastian Krebs's work include Video Surveillance and Tracking Methods (5 papers), Autonomous Vehicle Technology and Safety (4 papers) and Augmented Reality Applications (2 papers). Sebastian Krebs is often cited by papers focused on Video Surveillance and Tracking Methods (5 papers), Autonomous Vehicle Technology and Safety (4 papers) and Augmented Reality Applications (2 papers). Sebastian Krebs collaborates with scholars based in Germany, Netherlands and United Kingdom. Sebastian Krebs's co-authors include Fabian B. Flohr, Markus Braun, Dariu M. Gavrila, Jan Gugenheimer, Enrico Rukzio, Dennis Wolf, Gabriel Haas, Martin Fritzsche, M. Roth and Andreas Fregin and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Figshare and Research Repository (Delft University of Technology).

In The Last Decade

Sebastian Krebs

12 papers receiving 293 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sebastian Krebs Germany 5 224 89 52 52 23 13 300
Nathaniel Bird United States 10 215 1.0× 33 0.4× 68 1.3× 28 0.5× 39 1.7× 15 337
Wenxi Liu Hong Kong 6 322 1.4× 55 0.6× 82 1.6× 18 0.3× 30 1.3× 8 419
Ziliang Ren China 9 226 1.0× 28 0.3× 110 2.1× 88 1.7× 24 1.0× 37 344
Stefan Vacek Germany 10 213 1.0× 84 0.9× 57 1.1× 44 0.8× 11 0.5× 16 308
Dipan K. Pal United States 8 338 1.5× 45 0.5× 70 1.3× 27 0.5× 10 0.4× 12 435
Nicholas Apostoloff Australia 9 295 1.3× 178 2.0× 53 1.0× 21 0.4× 23 1.0× 15 400
Ka Keung Lee Hong Kong 9 228 1.0× 44 0.5× 151 2.9× 17 0.3× 31 1.3× 19 352
Yukimasa Tamatsu Japan 9 206 0.9× 49 0.6× 23 0.4× 21 0.4× 36 1.6× 21 290
Imen Jegham Tunisia 6 197 0.9× 54 0.6× 87 1.7× 43 0.8× 11 0.5× 17 282

Countries citing papers authored by Sebastian Krebs

Since Specialization
Citations

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

Fields of papers citing papers by Sebastian Krebs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sebastian Krebs

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

All Works

13 of 13 papers shown
1.
Krebs, Sebastian, Markus Braun, & Dariu M. Gavrila. (2024). EuroCity Persons 2.0: A Large and Diverse Dataset of Persons in Traffic. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 10929–10943.
2.
Braun, Markus, et al.. (2021). Simple Pair Pose - Pairwise Human Pose Estimation in Dense Urban Traffic Scenes. 1545–1552. 4 indexed citations
3.
Braun, Markus, Sebastian Krebs, & Dariu M. Gavrila. (2020). ECP2.5D - Person Localization in Traffic Scenes. 1. 1694–1701. 4 indexed citations
4.
Braun, Markus, Sebastian Krebs, Fabian B. Flohr, & Dariu M. Gavrila. (2019). EuroCity Persons: A Novel Benchmark for Person Detection in Traffic Scenes. IEEE Transactions on Pattern Analysis and Machine Intelligence. 41(8). 1844–1861. 198 indexed citations
6.
Krebs, Sebastian, Markus Braun, & Dariu M. Gavrila. (2019). Generating 3D Person Trajectories from Sparse Image Annotations in an Intelligent Vehicles Setting. Research Repository (Delft University of Technology). 783–788. 1 indexed citations
7.
Roth, M., et al.. (2017). Building a Computer Vision Research Vehicle with ROS. 2 indexed citations
8.
Fregin, Andreas, et al.. (2017). Building a Computer Vision Research Vehicle with ROS. 2 indexed citations
9.
Krebs, Sebastian, et al.. (2017). A survey on leveraging deep neural networks for object tracking. 411–418. 27 indexed citations
10.
Krebs, Sebastian, et al.. (2017). Romanticism, Alexander von Humboldt and the distinction of “Natur” and “Geist”. 1 indexed citations
11.
Gugenheimer, Jan, Dennis Wolf, Gabriel Haas, Sebastian Krebs, & Enrico Rukzio. (2016). A demonstration of SwiVRChair. 281–284. 1 indexed citations
12.
Gugenheimer, Jan, Dennis Wolf, Gabriel Haas, Sebastian Krebs, & Enrico Rukzio. (2016). SwiVRChair. 1996–2000. 56 indexed citations
13.
Krebs, Sebastian, et al.. (2014). Probabilistic inference of visibility conditions by means of sensor fusion. 1211–1216. 3 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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