Tim Salzmann

422 total citations · 1 hit paper
8 papers, 181 citations indexed

About

Tim Salzmann is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Signal Processing. According to data from OpenAlex, Tim Salzmann has authored 8 papers receiving a total of 181 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 3 papers in Automotive Engineering and 2 papers in Signal Processing. Recurrent topics in Tim Salzmann's work include Video Surveillance and Tracking Methods (4 papers), Autonomous Vehicle Technology and Safety (3 papers) and Human Pose and Action Recognition (3 papers). Tim Salzmann is often cited by papers focused on Video Surveillance and Tracking Methods (4 papers), Autonomous Vehicle Technology and Safety (3 papers) and Human Pose and Action Recognition (3 papers). Tim Salzmann collaborates with scholars based in Germany, United States and Switzerland. Tim Salzmann's co-authors include Marco Pavone, Markus Ryll, Elia Kaufmann, Davide Scaramuzza, Boris Ivanovic, Punarjay Chakravarty, Dorsa Sadigh, Alex Bewley, Carolina Parada and Hao-Tien Lewis Chiang 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

Tim Salzmann

7 papers receiving 177 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Real-Time Neural MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms

2023 86 citations Tim Salzmann, Elia Kaufmann et al. IEEE Robotics and Automation Letters profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tim Salzmann Germany	5	78	69	62	51	23	8	181
Davis Rempe United States	6	68 0.9×	85 1.2×	71 1.1×	49 1.0×	4 0.2×	11	194
Phillip Karle Germany	6	76 1.0×	127 1.8×	48 0.8×	41 0.8×	3 0.1×	12	204
Caglayan Dicle United States	5	247 3.2×	44 0.6×	18 0.3×	72 1.4×	22 1.0×	6	292
Taylor Mordan Switzerland	6	142 1.8×	65 0.9×	12 0.2×	95 1.9×	14 0.6×	11	216
He Zhao China	8	229 2.9×	58 0.8×	14 0.2×	86 1.7×	38 1.7×	19	290
Yadong Li China	6	310 4.0×	58 0.8×	19 0.3×	41 0.8×	14 0.6×	10	365
Weijing Shi China	5	61 0.8×	77 1.1×	23 0.4×	17 0.3×	8 0.3×	13	162
Yingjuan Tang China	6	79 1.0×	159 2.3×	49 0.8×	23 0.5×	3 0.1×	13	264
Apratim Bhattacharyya Germany	6	175 2.2×	148 2.1×	23 0.4×	84 1.6×	15 0.7×	11	262
Oyunchimeg Shagdar France	9	20 0.3×	56 0.8×	32 0.5×	16 0.3×	5 0.2×	39	238

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).

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.

Co-authorship network of co-authors of Tim Salzmann

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Salzmann, Tim, et al.. (2024). Normalizing Flows on the Product Space of SO(3) Manifolds for Probabilistic Human Pose Modeling. 2285–2294. 1 indexed citations

2.

Salzmann, Tim, et al.. (2023). Real-Time Neural MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms. IEEE Robotics and Automation Letters. 8(4). 2397–2404. 86 indexed citations breakdown →

3.

Salzmann, Tim, Hao-Tien Lewis Chiang, Markus Ryll, et al.. (2023). Robots That Can See: Leveraging Human Pose for Trajectory Prediction. IEEE Robotics and Automation Letters. 8(11). 7090–7097. 11 indexed citations

4.

Salzmann, Tim, Marco Pavone, & Markus Ryll. (2022). Motron: Multimodal Probabilistic Human Motion Forecasting. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 6447–6456. 21 indexed citations

5.

Salzmann, Tim, et al.. (2021). Lifting of Tribocharged Grains by Martian Winds. The Planetary Science Journal. 2(6). 238–238. 7 indexed citations

6.

Salzmann, Tim, Boris Ivanovic, Punarjay Chakravarty, & Marco Pavone. (2020). Trajectron++: Multi-Agent Generative Trajectory Forecasting With Heterogeneous Data for Control. 53 indexed citations

7.

Salzmann, Tim, et al.. (2019). Online Path Generation from Sensor Data for Highly Automated Driving Functions. mediaTUM (Technical University of Munich). 1807–1812. 2 indexed citations

8.

Salzmann, Tim, et al.. (2018). Context Prediction Architectures in Next Generation of Intelligent Cars. mediaTUM (Technical University of Munich). 5103. 2923–2930.

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.

Explore authors with similar magnitude of impact