Timm Linder

About

Timm Linder is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Artificial Intelligence. According to data from OpenAlex, Timm Linder has authored 10 papers receiving a total of 142 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 4 papers in Human-Computer Interaction and 2 papers in Artificial Intelligence. Recurrent topics in Timm Linder’s work include Video Surveillance and Tracking Methods (5 papers), Human Pose and Action Recognition (4 papers) and Gait Recognition and Analysis (1 paper). Timm Linder is often cited by papers focused on Video Surveillance and Tracking Methods (5 papers), Human Pose and Action Recognition (4 papers) and Gait Recognition and Analysis (1 paper). Timm Linder collaborates with scholars based in Germany, Italy and United States. Timm Linder's co-authors include Bastian Leibe, Kai Oliver Arras, Kai O. Arras, Jürgen Ziegler, Alexander Hermans, Lucas Beyer, Narunas Vaškevičius, Luigi Palmieri, Lucia Pallottino and Andrey Rudenko and has published in prestigious journals such as IEEE Robotics and Automation Letters, User Modeling and User-Adapted Interaction and IEEE Transactions on Biometrics Behavior and Identity Science.

In The Last Decade

Co-authorship network of co-authors of Timm Linder i

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Fields of papers citing papers by Timm Linder

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Timm Linder

Since Specialization

Citations

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