Eike Rehder

691 total citations
11 papers, 443 citations indexed

About

Eike Rehder is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Eike Rehder has authored 11 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 5 papers in Automotive Engineering and 4 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Eike Rehder's work include Video Surveillance and Tracking Methods (5 papers), Autonomous Vehicle Technology and Safety (5 papers) and Traffic Prediction and Management Techniques (3 papers). Eike Rehder is often cited by papers focused on Video Surveillance and Tracking Methods (5 papers), Autonomous Vehicle Technology and Safety (5 papers) and Traffic Prediction and Management Techniques (3 papers). Eike Rehder collaborates with scholars based in Germany and Egypt. Eike Rehder's co-authors include Martin Lauer, Christoph Stiller, Denis F. Wolf, Jonas Uhrig, Thomas Brox, Uwe Franke, Lukas Schneider, Jüergen Gall, Marius Cordts and Ömer Şahin Taş and has published in prestigious journals such as FreiDok plus (Universitätsbibliothek Freiburg).

In The Last Decade

Eike Rehder

11 papers receiving 420 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eike Rehder Germany 10 251 247 138 80 70 11 443
Fabian B. Flohr Germany 12 514 2.0× 328 1.3× 117 0.8× 128 1.6× 52 0.7× 29 704
Christopher Tay France 4 188 0.7× 243 1.0× 78 0.6× 93 1.2× 67 1.0× 7 388
Ewoud A. I. Pool Netherlands 6 165 0.7× 169 0.7× 74 0.5× 55 0.7× 48 0.7× 7 350
Amaury Nègre France 8 163 0.6× 223 0.9× 80 0.6× 58 0.7× 69 1.0× 21 382
Junxuan Zhao United States 11 233 0.9× 400 1.6× 117 0.8× 24 0.3× 127 1.8× 29 670
Martin Liebner Germany 8 88 0.4× 238 1.0× 73 0.5× 52 0.7× 95 1.4× 9 383
Xichan Zhu China 11 135 0.5× 162 0.7× 69 0.5× 44 0.6× 39 0.6× 63 439
A. Joos Germany 5 184 0.7× 220 0.9× 61 0.4× 39 0.5× 34 0.5× 6 378
Mohammad Shokrolah Shirazi United States 10 145 0.6× 194 0.8× 96 0.7× 44 0.6× 119 1.7× 26 347
Tarak Gandhi United States 10 347 1.4× 190 0.8× 60 0.4× 50 0.6× 27 0.4× 18 514

Countries citing papers authored by Eike Rehder

Since Specialization
Citations

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

Fields of papers citing papers by Eike Rehder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eike Rehder

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

All Works

11 of 11 papers shown
1.
Rehder, Eike, et al.. (2023). 3DMOTFormer: Graph Transformer for Online 3D Multi-Object Tracking. 9750–9760. 24 indexed citations
2.
Rehder, Eike, et al.. (2019). What Does a Good Prediction Look Like?. 1594–1599. 1 indexed citations
3.
Rehder, Eike, et al.. (2018). Pedestrian Prediction by Planning Using Deep Neural Networks. 1–5. 79 indexed citations
4.
Rehder, Eike, et al.. (2018). A Literature Review on the Prediction of Pedestrian Behavior in Urban Scenarios. 3105–3112. 119 indexed citations
5.
Uhrig, Jonas, et al.. (2018). Box2Pix: Single-Shot Instance Segmentation by Assigning Pixels to Object Boxes. FreiDok plus (Universitätsbibliothek Freiburg). 292–299. 44 indexed citations
6.
Rehder, Eike, et al.. (2017). Online stereo camera calibration from scratch. 1694–1699. 9 indexed citations
7.
Taş, Ömer Şahin, et al.. (2017). How good is my prediction? Finding a similarity measure for trajectory prediction evaluation. 1–6. 16 indexed citations
8.
Rehder, Eike, et al.. (2015). Goal-Directed Pedestrian Prediction. 139–147. 78 indexed citations
9.
Rehder, Eike, et al.. (2015). Submap-based SLAM for road markings. 2. 1393–1398. 12 indexed citations
10.
Rehder, Eike, et al.. (2015). Detection of ascending stairs using stereo vision. 2496–2502. 26 indexed citations
11.
Rehder, Eike, et al.. (2014). Head detection and orientation estimation for pedestrian safety. 2292–2297. 35 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026