Werner Ritter

531 total citations
17 papers, 334 citations indexed

About

Werner Ritter is a scholar working on Computer Vision and Pattern Recognition, Instrumentation and Artificial Intelligence. According to data from OpenAlex, Werner Ritter has authored 17 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 6 papers in Instrumentation and 5 papers in Artificial Intelligence. Recurrent topics in Werner Ritter's work include Advanced Optical Sensing Technologies (6 papers), Video Surveillance and Tracking Methods (4 papers) and Image Enhancement Techniques (4 papers). Werner Ritter is often cited by papers focused on Advanced Optical Sensing Technologies (6 papers), Video Surveillance and Tracking Methods (4 papers) and Image Enhancement Techniques (4 papers). Werner Ritter collaborates with scholars based in Germany, United States and Finland. Werner Ritter's co-authors include Klaus Dietmayer, Pasi Pyykönen, Matti Kutila, Felix Heide, Roland Schweiger, Florian Kraus, Nicolas Scheiner, Fahim Mannan, Mario Bijelic and Buu Phan and has published in prestigious journals such as Optics Express, arXiv (Cornell University) and Fraunhofer-Publica (Fraunhofer-Gesellschaft).

In The Last Decade

Werner Ritter

17 papers receiving 319 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Werner Ritter Germany 11 132 105 93 71 66 17 334
Ole Schumann Germany 8 143 1.1× 257 2.4× 83 0.9× 68 1.0× 89 1.3× 14 429
Nicolas Scheiner Germany 6 92 0.7× 155 1.5× 45 0.5× 65 0.9× 49 0.7× 6 291
Sihan Chen China 7 146 1.1× 162 1.5× 47 0.5× 31 0.4× 44 0.7× 16 298
Pasi Pyykönen Finland 10 94 0.7× 59 0.6× 104 1.1× 79 1.1× 92 1.4× 23 333
Paul Murcutt United Kingdom 4 140 1.1× 198 1.9× 59 0.6× 46 0.6× 52 0.8× 5 314
Lianqing Zheng China 9 152 1.2× 199 1.9× 37 0.4× 34 0.5× 46 0.7× 15 332
Ricardo Roriz Portugal 6 78 0.6× 101 1.0× 81 0.9× 134 1.9× 114 1.7× 7 333
Martin Holder Germany 9 49 0.4× 121 1.2× 101 1.1× 46 0.6× 40 0.6× 14 240
Michaël Meyer Germany 8 133 1.0× 129 1.2× 40 0.4× 35 0.5× 24 0.4× 16 255
Aljoša Ošep Germany 9 300 2.3× 152 1.4× 95 1.0× 20 0.3× 64 1.0× 21 393

Countries citing papers authored by Werner Ritter

Since Specialization
Citations

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

Fields of papers citing papers by Werner Ritter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Werner Ritter

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

All Works

17 of 17 papers shown
1.
Liemert, André, et al.. (2022). Single scattering models for radiative transfer of isotropic and cone-shaped light sources in fog. Optics Express. 31(1). 125–125. 4 indexed citations
2.
Tseng, Ethan, et al.. (2021). ZeroScatter: Domain Transfer for Long Distance Imaging and Vision through Scattering Media. 3475–3485. 10 indexed citations
3.
Kraus, Florian, Nicolas Scheiner, Werner Ritter, & Klaus Dietmayer. (2021). The Radar Ghost Dataset – An Evaluation of Ghost Objects in Automotive Radar Data. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 8570–8577. 16 indexed citations
4.
Scheiner, Nicolas, Florian Kraus, Fangyin Wei, et al.. (2020). Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar. arXiv (Cornell University). 2065–2074. 92 indexed citations
5.
Kutila, Matti, Pasi Pyykönen, Maria Jokela, et al.. (2020). Benchmarking Automotive LiDAR Performance in Arctic Conditions. 1–8. 12 indexed citations
6.
Bijelic, Mario, Fahim Mannan, Tobias Gruber, et al.. (2019). Seeing Through Fog Without Seeing Fog: Deep Sensor Fusion in the Absence of Labeled Training Data.. arXiv (Cornell University). 19 indexed citations
7.
Bijelic, Mario, et al.. (2019). Recovering the Unseen: Benchmarking the Generalization of Enhancement Methods to Real World Data in Heavy Fog. Computer Vision and Pattern Recognition. 11–21. 5 indexed citations
8.
Bijelic, Mario, et al.. (2018). Robustness Against Unknown Noise for Raw Data Fusing Neural Networks. 2177–2184. 5 indexed citations
9.
Kutila, Matti, et al.. (2016). Automotive LIDAR sensor development scenarios for harsh weather conditions. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 265–270. 81 indexed citations
10.
Payá–Vayá, Guillermo, et al.. (2014). Instruction-set extension for an ASIP-based SIFT feature extraction. 335–342. 5 indexed citations
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Arndt, Richard, et al.. (2007). Detection and Tracking of Multiple Pedestrians in Automotive Applications. 1. 13–18. 18 indexed citations
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Ritter, Werner, et al.. (2006). Heterogeneous Fusion of Video, LIDAR and ESP Data for Automotive ACC Vehicle Tracking. 139–144. 14 indexed citations
17.
Schweiger, Roland, et al.. (2006). Multisensor Vehicle Tracking with the Probability Hypothesis Density Filter. 1–8. 14 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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