Tim Salzmann

6 papers and 61 indexed citations i.

About

Tim Salzmann is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Artificial Intelligence. According to data from OpenAlex, Tim Salzmann has authored 6 papers receiving a total of 61 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 2 papers in Automotive Engineering and 1 paper in Artificial Intelligence. Recurrent topics in Tim Salzmann’s work include Video Surveillance and Tracking Methods (3 papers), Human Pose and Action Recognition (2 papers) and Autonomous Vehicle Technology and Safety (2 papers). Tim Salzmann is often cited by papers focused on Video Surveillance and Tracking Methods (3 papers), Human Pose and Action Recognition (2 papers) and Autonomous Vehicle Technology and Safety (2 papers). Tim Salzmann collaborates with scholars based in Germany, United States and United Kingdom. Tim Salzmann's co-authors include Markus Ryll, Marco Pavone, Davide Scaramuzza, Elia Kaufmann, Sebastian Wagner, Julian Thomas, Gerhard Wurm, Eric J. R. Parteli, Jens Teiser and Alois Knoll and has published in prestigious journals such as IEEE Robotics and Automation Letters, The Planetary Science Journal and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Co-authorship network of co-authors of Tim Salzmann i

Fields of papers citing papers by Tim Salzmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tim Salzmann

Since Specialization
Citations

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

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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