Markus Enzweiler

15.4k total citations · 2 hit papers
34 papers, 8.7k citations indexed

About

Markus Enzweiler is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Aerospace Engineering. According to data from OpenAlex, Markus Enzweiler has authored 34 papers receiving a total of 8.7k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 10 papers in Automotive Engineering and 9 papers in Aerospace Engineering. Recurrent topics in Markus Enzweiler's work include Video Surveillance and Tracking Methods (21 papers), Advanced Neural Network Applications (15 papers) and Autonomous Vehicle Technology and Safety (10 papers). Markus Enzweiler is often cited by papers focused on Video Surveillance and Tracking Methods (21 papers), Advanced Neural Network Applications (15 papers) and Autonomous Vehicle Technology and Safety (10 papers). Markus Enzweiler collaborates with scholars based in Germany, Netherlands and United States. Markus Enzweiler's co-authors include Uwe Franke, Bernt Schiele, Marius Cordts, Stefan Roth, Timo Rehfeld, Sebastian Ramos, Mohamed Omran, Rodrigo Benenson, Dariu M. Gavrila and David Pfeiffer and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Markus Enzweiler

31 papers receiving 8.4k citations

Hit Papers

The Cityscapes Dataset for Semantic Urban Scene ... 2008 2026 2014 2020 2016 2008 2.0k 4.0k 6.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Markus Enzweiler Germany 17 7.1k 2.7k 1.2k 975 739 34 8.7k
Mohamed Omran Germany 8 6.3k 0.9× 2.5k 0.9× 842 0.7× 787 0.8× 683 0.9× 10 7.7k
Rodrigo Benenson Germany 24 9.2k 1.3× 3.3k 1.2× 1.2k 1.0× 1.1k 1.2× 990 1.3× 32 11.2k
Sebastian Ramos Spain 9 5.9k 0.8× 2.5k 0.9× 765 0.7× 775 0.8× 676 0.9× 12 7.3k
Marius Cordts Germany 7 5.7k 0.8× 2.4k 0.9× 750 0.6× 773 0.8× 660 0.9× 16 7.1k
Timo Rehfeld Germany 6 5.6k 0.8× 2.4k 0.9× 731 0.6× 764 0.8× 656 0.9× 8 7.0k
Fisher Yu United States 32 7.8k 1.1× 2.6k 1.0× 748 0.6× 1.4k 1.5× 855 1.2× 70 11.1k
Uwe Franke Germany 34 7.8k 1.1× 2.7k 1.0× 2.3k 1.9× 1.5k 1.5× 842 1.1× 99 10.1k
Jifeng Dai China 26 9.2k 1.3× 2.7k 1.0× 491 0.4× 1.3k 1.4× 1.5k 2.1× 53 12.0k
Bastian Leibe Germany 52 10.5k 1.5× 2.1k 0.8× 732 0.6× 3.2k 3.3× 1.1k 1.5× 157 12.2k
Jenq–Neng Hwang United States 46 5.1k 0.7× 2.0k 0.7× 450 0.4× 785 0.8× 665 0.9× 395 8.5k

Countries citing papers authored by Markus Enzweiler

Since Specialization
Citations

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

Fields of papers citing papers by Markus Enzweiler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Enzweiler

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

All Works

20 of 20 papers shown
1.
Schmidt, Friedrich Georg, et al.. (2025). Visual‐Inertial SLAM for Unstructured Outdoor Environments: Benchmarking the Benefits and Computational Costs of Loop Closing. Journal of Field Robotics. 42(7). 3726–3747. 1 indexed citations
3.
Schmidt, Friedrich Georg, et al.. (2025). ROVER: A Multiseason Dataset for Visual SLAM. IEEE Transactions on Robotics. 41. 4005–4022. 3 indexed citations
4.
Schneider, Lukas, et al.. (2024). Dualad: Disentangling the Dynamic and Static World for End-to-End Driving. 14728–14737. 1 indexed citations
5.
Enzweiler, Markus, et al.. (2024). Competing with autonomous model vehicles: a software stack for driving in smart city environments. SHILAP Revista de lepidopterología. 4(1).
7.
Schmidt, David, et al.. (2020). SCSSnet: Learning Spatially-Conditioned Scene Segmentation on LiDAR Point Clouds.. 1086–1093. 2 indexed citations
8.
Enzweiler, Markus, et al.. (2019). Cross-Sensor Deep Domain Adaptation for LiDAR Detection and Segmentation. Research Repository (Delft University of Technology). 1535–1542. 34 indexed citations
9.
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
10.
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
11.
Cordts, Marius, Mohamed Omran, Sebastian Ramos, et al.. (2016). The Cityscapes Dataset for Semantic Urban Scene Understanding. 3213–3223. 6909 indexed citations breakdown →
12.
Enzweiler, Markus, et al.. (2015). Vision-Based Road Sign Detection. 505–510. 4 indexed citations
13.
Enzweiler, Markus. (2015). The mobile revolution – Machine intelligence for autonomous vehicles. it - Information Technology. 57(3). 199–202. 5 indexed citations
14.
Franke, Uwe, David Pfeiffer, Clemens Rabe, et al.. (2013). Making Bertha See. 214–221. 110 indexed citations
15.
Enzweiler, Markus & Dariu M. Gavrila. (2011). A Multilevel Mixture-of-Experts Framework for Pedestrian Classification. IEEE Transactions on Image Processing. 20(10). 2967–2979. 99 indexed citations
16.
Enzweiler, Markus & Dariu M. Gavrila. (2010). Integrated pedestrian classification and orientation estimation. UvA-DARE (University of Amsterdam). 982–989. 60 indexed citations
17.
Enzweiler, Markus & Dariu M. Gavrila. (2008). Monocular Pedestrian Detection: Survey and Experiments. IEEE Transactions on Pattern Analysis and Machine Intelligence. 31(12). 2179–2195. 840 indexed citations breakdown →
18.
Enzweiler, Markus, et al.. (2008). Monocular pedestrian recognition using motion parallax. UvA-DARE (University of Amsterdam). 792–797. 31 indexed citations
19.
Enzweiler, Markus & Dariu M. Gavrila. (2008). A mixed generative-discriminative framework for pedestrian classification. UvA-DARE (University of Amsterdam). 28. 1–8. 56 indexed citations
20.
Enzweiler, Markus, Richard P. Wildes, & Rainer Herpers. (2005). Unified Target Detection and Tracking Using Motion Coherence. 23. 66–71. 5 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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