Timm Linder

798 total citations
15 papers, 244 citations indexed

About

Timm Linder is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Timm Linder has authored 15 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 4 papers in Human-Computer Interaction. Recurrent topics in Timm Linder's work include Video Surveillance and Tracking Methods (7 papers), Gait Recognition and Analysis (4 papers) and Human Pose and Action Recognition (3 papers). Timm Linder is often cited by papers focused on Video Surveillance and Tracking Methods (7 papers), Gait Recognition and Analysis (4 papers) and Human Pose and Action Recognition (3 papers). Timm Linder collaborates with scholars based in Germany, Taiwan and Netherlands. Timm Linder's co-authors include Kai O. Arras, Bastian Leibe, Stefan Breuers, Jürgen Ziegler, Sven Wehner, Narunas Vaškevičius, Lucas Beyer, Alexander Hermans, Luigi Palmieri and Lucia Pallottino and has published in prestigious journals such as IEEE Robotics and Automation Letters, User Modeling and User-Adapted Interaction and 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

In The Last Decade

Timm Linder

13 papers receiving 238 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Timm Linder Germany	8	150	51	44	41	40	15	244
A F M Saifuddin Saif Bangladesh	10	207 1.4×	66 1.3×	40 0.9×	27 0.7×	37 0.9×	54	327
Bima Sena Bayu Dewantara Indonesia	9	153 1.0×	40 0.8×	36 0.8×	38 0.9×	6 0.1×	87	317
Stefan Vacek Germany	10	213 1.4×	57 1.1×	41 0.9×	9 0.2×	84 2.1×	16	308
Daniel Fernando Tello Gamarra Brazil	10	158 1.1×	87 1.7×	85 1.9×	14 0.3×	22 0.6×	37	291
Jiawei Xu China	9	132 0.9×	57 1.1×	70 1.6×	17 0.4×	34 0.8×	14	317
Raymond Sheh Australia	10	87 0.6×	81 1.6×	80 1.8×	10 0.2×	11 0.3×	35	296
Jonatan Ginés Spain	7	135 0.9×	64 1.3×	76 1.7×	8 0.2×	17 0.4×	13	276
Korbinian Frank Germany	11	189 1.3×	79 1.5×	35 0.8×	22 0.5×	11 0.3×	26	366
Shu Jiang United States	9	94 0.6×	37 0.7×	40 0.9×	6 0.1×	57 1.4×	24	250

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).

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.

Co-authorship network of co-authors of Timm Linder

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

All Works

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15 of 15 papers shown

Hermans, Alexander, et al.. (2025). OpenSplat3D: Open-Vocabulary 3D Instance Segmentation using Gaussian Splatting. 5246–5255.

Mack, D., et al.. (2025). How do Foundation Models Compare to Skeleton-Based Approaches for Gesture Recognition in Human-Robot Interaction?. 477–477.

Mack, D., et al.. (2025). Systematic Comparison of Projection Methods for Monocular 3D Human Pose Estimation on Fisheye Images. 5914–5921. 1 indexed citations

Palmieri, Luigi, et al.. (2024). Efficient Context-Aware Model Predictive Control for Human-Aware Navigation. IEEE Robotics and Automation Letters. 9(11). 9494–9501. 6 indexed citations

Hermans, Alexander, et al.. (2024). RGB-D Cube R-CNN: 3D Object Detection with Selective Modality Dropout. 1997–2006. 3 indexed citations

Linder, Timm, et al.. (2021). Cross-Modal Analysis of Human Detection for Robotics: An Industrial Case Study. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 971–978. 8 indexed citations

Linder, Timm, et al.. (2020). Accurate detection and 3D localization of humans using a novel YOLO-based RGB-D fusion approach and synthetic training data. 1000–1006. 23 indexed citations

Beyer, Lucas, Alexander Hermans, Timm Linder, Kai O. Arras, & Bastian Leibe. (2018). Deep Person Detection in Two-Dimensional Range Data. IEEE Robotics and Automation Letters. 3(3). 2726–2733. 23 indexed citations

Linder, Timm, Stefan Breuers, Bastian Leibe, & Kai O. Arras. (2016). On multi-modal people tracking from mobile platforms in very crowded and dynamic environments. 5512–5519. 80 indexed citations

10.

Linder, Timm, Sven Wehner, & Kai O. Arras. (2015). Real-time full-body human gender recognition in (RGB)-D data. 3039–3045. 21 indexed citations

11.

Linder, Timm & Kai O. Arras. (2015). Real-time full-body human attribute classification in RGB-D using a tessellation boosting approach. 25. 1335–1341. 7 indexed citations

12.

Linder, Timm, et al.. (2014). Multi-model hypothesis tracking of groups of people in RGB-D data. International Conference on Information Fusion. 1–7. 21 indexed citations

13.

Linder, Timm, et al.. (2013). Context-aware Recommendations on Rails. DuEPublico (University of Duisburg-Essen). 3 indexed citations

14.

Linder, Timm, et al.. (2012). Hybreed: A software framework for developing context-aware hybrid recommender systems. User Modeling and User-Adapted Interaction. 24(1-2). 121–174. 39 indexed citations

15.

Ziegler, Jürgen, et al.. (2011). Generating route instructions with varying levels of detail. DuEPublico (University of Duisburg-Essen). 31–38. 9 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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