Christian Wojek

18 papers receiving 3.8k citations

Hit Papers

Pedestrian Detection: An Evaluation of the State of the Art20092026201420202011200950010001.5k2.0k

Peers

Christian Wojek
Comparison fields: 5 of 106
  • Computer Vision and Pattern Recognition 3.6k
  • Artificial Intelligence 963
  • Automotive Engineering 733
  • Aerospace Engineering 435
  • Safety, Risk, Reliability and Quality 388
Replace Nicolai Wojke with:
Nicolai Wojke Germany
Wongun Choi United States
Jianru Xue China
Sanping Zhou China
David Fernández Llorca Spain
Lionel Ott Australia
Ram Nevatia United States
Arturo de la Escalera Spain
Huijing Zhao China
Osama Masoud United States
Christian Wojek relative to Nicolai Wojke Germany Nicolai Wojke's profile →
Citations per field
00.5×10×20×29.5×
Nicolai Wojke · 1×
Citations per year

Countries citing papers authored by Christian Wojek

Since Specialization
Citations

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

Fields of papers citing papers by Christian Wojek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Wojek

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 4
2 9
3 16
4 1
5 278
6 60
7
Joint 3D Estimation of Objects and Scene Layout
69
8
Pedestrian Detection: An Evaluation of the State of the Artbreakdown →
2192
9 59
10 48
11 8
12 13
13 1
14
Visual People Detection - Different Models, Comparison and Discussion
29
15 29
16 247
17
Pedestrian detection: A benchmarkbreakdown →
903
18
Multi‐Level Sensorfusion and Computer‐Vision Algorithms within Driver Assistance for Avoiding Overtaking‐Accidents
8
19 36

About Christian Wojek

Christian Wojek is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biophysics, having authored 19 papers that have together received 4.0k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (13 papers), Advanced Neural Network Applications (6 papers) and Anomaly Detection Techniques and Applications (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.6k citations), Automotive Engineering (733 citations) and Safety, Risk, Reliability and Quality (388 citations). Christian Wojek has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Bernt Schiele, Piotr Dollár, Pietro Perona, Stefan Walk, Andreas Geiger, Raquel Urtasun, Christoph Stiller, Martin Lauer, Stefan Roth and Mykhaylo Andriluka. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Frontiers in Physiology and Lecture notes in computer science.

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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2026