Timo Rehfeld

11.8k total citations · 1 hit paper
8 papers, 7.0k citations indexed

About

Timo Rehfeld is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Automotive Engineering. According to data from OpenAlex, Timo Rehfeld has authored 8 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 3 papers in Aerospace Engineering and 2 papers in Automotive Engineering. Recurrent topics in Timo Rehfeld's work include Video Surveillance and Tracking Methods (6 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Advanced Vision and Imaging (3 papers). Timo Rehfeld is often cited by papers focused on Video Surveillance and Tracking Methods (6 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Advanced Vision and Imaging (3 papers). Timo Rehfeld collaborates with scholars based in Germany, Switzerland and United States. Timo Rehfeld's co-authors include Stefan Roth, Markus Enzweiler, Uwe Franke, Marius Cordts, Sebastian Ramos, Mohamed Omran, Rodrigo Benenson, Bernt Schiele, Lukas Schneider and David Pfeiffer and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Image and Vision Computing and 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

In The Last Decade

Timo Rehfeld

8 papers receiving 6.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Cityscapes Dataset for Semantic Urban Scene Understanding

2016 6.9k citations Marius Cordts, Mohamed Omran et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Timo Rehfeld Germany	6	5.6k	2.4k	764	731	656	8	7.0k
Marius Cordts Germany	7	5.7k 1.0×	2.4k 1.0×	773 1.0×	750 1.0×	660 1.0×	16	7.1k
Sebastian Ramos Spain	9	5.9k 1.0×	2.5k 1.1×	775 1.0×	765 1.0×	676 1.0×	12	7.3k
Mohamed Omran Germany	8	6.3k 1.1×	2.5k 1.1×	787 1.0×	842 1.2×	683 1.0×	10	7.7k
Markus Enzweiler Germany	17	7.1k 1.3×	2.7k 1.1×	975 1.3×	1.2k 1.6×	739 1.1×	34	8.7k
Fisher Yu United States	32	7.8k 1.4×	2.6k 1.1×	1.4k 1.9×	748 1.0×	855 1.3×	70	11.1k
Rodrigo Benenson Germany	24	9.2k 1.6×	3.3k 1.4×	1.1k 1.5×	1.2k 1.6×	990 1.5×	32	11.2k
Jifeng Dai China	26	9.2k 1.6×	2.7k 1.2×	1.3k 1.7×	491 0.7×	1.5k 2.3×	53	12.0k
Jasper Uijlings Italy	23	6.3k 1.1×	2.2k 0.9×	709 0.9×	233 0.3×	822 1.3×	44	7.8k
Song Bai China	42	5.6k 1.0×	2.4k 1.0×	855 1.1×	187 0.3×	691 1.1×	115	8.1k
Tong He China	21	5.8k 1.0×	1.8k 0.8×	1.3k 1.7×	241 0.3×	1.3k 2.0×	69	8.0k

Countries citing papers authored by Timo Rehfeld

Since Specialization

Citations

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

Fields of papers citing papers by Timo Rehfeld

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Timo Rehfeld

This figure shows the co-authorship network connecting the top 25 collaborators of Timo Rehfeld. A scholar is included among the top collaborators of Timo Rehfeld 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 Timo Rehfeld. Timo Rehfeld 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.

Zhang, Li, et al.. (2022). Hierarchical Road Topology Learning for Urban Mapless Driving. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 3816–3823. 5 indexed citations

2.

Rehfeld, Timo, et al.. (2020). Sensor Fusion-based Online Map Validation for Autonomous Driving. 77–82. 5 indexed citations

3.

Rehfeld, Timo, et al.. (2018). Environment Estimation with Dynamic Grid Maps and Self-Localizing Tracklets. 3370–3377. 6 indexed citations

4.

Cordts, Marius, Timo Rehfeld, Lukas Schneider, et al.. (2017). The Stixel World: A medium-level representation of traffic scenes. Image and Vision Computing. 68. 40–52. 28 indexed citations

5.

Rehfeld, Timo, et al.. (2017). Estimating high definition map parameters with convolutional neural networks. 9. 52–56. 5 indexed citations

6.

Cordts, Marius, Timo Rehfeld, Markus Enzweiler, Uwe Franke, & Stefan Roth. (2016). Tree-Structured Models for Efficient Multi-Cue Scene Labeling. IEEE Transactions on Pattern Analysis and Machine Intelligence. 39(7). 1444–1454. 9 indexed citations

7.

Cordts, Marius, Mohamed Omran, Sebastian Ramos, et al.. (2016). The Cityscapes Dataset for Semantic Urban Scene Understanding. 3213–3223. 6909 indexed citations breakdown →

8.

Schneider, Lukas, Marius Cordts, Timo Rehfeld, et al.. (2016). Semantic Stixels: Depth is not enough. 110–117. 55 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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