Stefan Munder

1.5k total citations · 1 hit paper
5 papers, 1000 citations indexed

About

Stefan Munder is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Ocean Engineering. According to data from OpenAlex, Stefan Munder has authored 5 papers receiving a total of 1000 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 2 papers in Automotive Engineering and 1 paper in Ocean Engineering. Recurrent topics in Stefan Munder's work include Video Surveillance and Tracking Methods (5 papers), Advanced Neural Network Applications (3 papers) and Autonomous Vehicle Technology and Safety (2 papers). Stefan Munder is often cited by papers focused on Video Surveillance and Tracking Methods (5 papers), Advanced Neural Network Applications (3 papers) and Autonomous Vehicle Technology and Safety (2 papers). Stefan Munder collaborates with scholars based in Germany, Netherlands and United States. Stefan Munder's co-authors include Dariu M. Gavrila, J. Giebel, Christoph Schnörr, Joachim Denzler and Gregory Baratoff and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Stefan Munder

5 papers receiving 917 citations

Hit Papers

An Experimental Study on Pedestrian Classification 2006 2026 2012 2019 2006 100 200 300
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.

  1. An Experimental Study on Pedestrian Classification
    2006 398 citations Stefan Munder, Dariu M. Gavrila IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefan Munder Germany 5 888 254 202 119 106 5 1000
David Gerónimo Spain 10 869 1.0× 185 0.7× 266 1.3× 92 0.8× 142 1.3× 11 1.1k
Michael D. Breitenstein Switzerland 9 1.1k 1.2× 430 1.7× 75 0.4× 76 0.6× 181 1.7× 11 1.2k
Andreas Wedel Germany 12 680 0.8× 131 0.5× 394 2.0× 98 0.8× 130 1.2× 17 991
Stefan Atev United States 12 407 0.5× 174 0.7× 175 0.9× 113 0.9× 33 0.3× 19 668
Bogdan Stanciulescu France 12 648 0.7× 126 0.5× 209 1.0× 72 0.6× 69 0.7× 25 877
Fabian B. Flohr Germany 12 514 0.6× 128 0.5× 328 1.6× 117 1.0× 59 0.6× 29 704
Xiao Tan China 20 921 1.0× 223 0.9× 116 0.6× 45 0.4× 236 2.2× 62 1.1k
Christoph G. Keller Germany 11 480 0.5× 107 0.4× 406 2.0× 170 1.4× 227 2.1× 12 863
David Duggins United States 6 874 1.0× 187 0.7× 80 0.4× 119 1.0× 161 1.5× 9 1.0k
Volker Eiselein Germany 10 719 0.8× 242 1.0× 77 0.4× 104 0.9× 158 1.5× 25 816

Countries citing papers authored by Stefan Munder

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Munder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Munder

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

All Works

5 of 5 papers shown
1.
Munder, Stefan, Christoph Schnörr, & Dariu M. Gavrila. (2008). Pedestrian Detection and Tracking Using a Mixture of View-Based Shape–Texture Models. IEEE Transactions on Intelligent Transportation Systems. 9(2). 333–343. 81 indexed citations
2.
Munder, Stefan, et al.. (2008). Pedestrian recognition using combined low-resolution depth and intensity images. 632–636. 7 indexed citations
3.
Munder, Stefan & Dariu M. Gavrila. (2006). An Experimental Study on Pedestrian Classification. IEEE Transactions on Pattern Analysis and Machine Intelligence. 28(11). 1863–1868. 398 indexed citations breakdown →
4.
Gavrila, Dariu M. & Stefan Munder. (2006). Multi-cue Pedestrian Detection and Tracking from a Moving Vehicle. International Journal of Computer Vision. 73(1). 41–59. 366 indexed citations
5.
Gavrila, Dariu M., J. Giebel, & Stefan Munder. (2004). Vision-based pedestrian detection: the protector system. 13–18. 148 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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