Marius Zöllner

903 total citations · 1 hit paper
12 papers, 561 citations indexed

About

Marius Zöllner is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Automotive Engineering. According to data from OpenAlex, Marius Zöllner has authored 12 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 3 papers in Automotive Engineering. Recurrent topics in Marius Zöllner's work include Advanced Neural Network Applications (4 papers), Autonomous Vehicle Technology and Safety (3 papers) and Adversarial Robustness in Machine Learning (3 papers). Marius Zöllner is often cited by papers focused on Advanced Neural Network Applications (4 papers), Autonomous Vehicle Technology and Safety (3 papers) and Adversarial Robustness in Machine Learning (3 papers). Marius Zöllner collaborates with scholars based in Germany, United States and United Kingdom. Marius Zöllner's co-authors include Marvin Teichmann, Raquel Urtasun, Michael Weber, Roberto Cipolla, R. Zöllner, O. Rogalla, R. Dillmann, Rüdiger Dillmann, Markus Hoffmann and Joachim Schröder and has published in prestigious journals such as Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Marius Zöllner

12 papers receiving 530 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.

MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving

2018 437 citations Marvin Teichmann, Michael Weber et al. profile →

Peers

Marius Zöllner

CVPR

AE

AI

CSE

EE

Hengli Wang Hong Kong

Norbert Buch United Kingdom

Deepak Kumar Dewangan India

Bogdan Stanciulescu France

Thierry Château France

Qichuan Geng China

Sumedh Gupte United States

Yifeng Shi China

Vijay John Japan

Hengli Wang Hong Kong

Marius Zöllner

359 ×0.9

CVPR

146 ×0.8

AE

97 ×0.8

AI

68 ×0.9

CSE

39 ×0.7

EE

Citations per year, relative to Marius Zöllner Marius Zöllner (= 1×) peers Hengli Wang

Countries citing papers authored by Marius Zöllner

Since Specialization

Citations

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

Fields of papers citing papers by Marius Zöllner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marius Zöllner

This figure shows the co-authorship network connecting the top 25 collaborators of Marius Zöllner. A scholar is included among the top collaborators of Marius Zöllner 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 Marius Zöllner. Marius Zöllner 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:

12 of 12 papers shown

1.

Zöllner, Marius, et al.. (2024). Dream to Drive: Learning Conditional Driving Policies in Imagination. 1716–1723. 1 indexed citations

2.

Zöllner, Marius, et al.. (2021). Safe Deep Reinforcement Learning for Adaptive Cruise Control by Imposing State-Specific Safe Sets. 488–495. 7 indexed citations

3.

Zöllner, Marius, et al.. (2021). Joint Vehicle Trajectory and Cut-In Prediction on Highways using Output Constrained Neural Networks. 2021 IEEE Symposium Series on Computational Intelligence (SSCI). 1–9. 6 indexed citations

4.

Zöllner, Marius, et al.. (2021). Sample-Specific Output Constraints for Neural Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 35(8). 6812–6821. 7 indexed citations

5.

Zöllner, Marius, et al.. (2020). Sample-Specific Output Constraints for Neural Networks. arXiv (Cornell University). 35(8). 6812–6821. 2 indexed citations

6.

Teichmann, Marvin, Michael Weber, Marius Zöllner, Roberto Cipolla, & Raquel Urtasun. (2018). MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving. 1013–1020. 437 indexed citations breakdown →

7.

Yuan, Ting, et al.. (2015). DSRC and radar object matching for cooperative driver assistance systems. 1348–1354. 18 indexed citations

8.

Schamm, Thomas, et al.. (2009). Control of an autonomous personal transporter towards moving targets. 18–23. 2 indexed citations

9.

Regenstein, K., et al.. (2007). Universal Controller Module (UCoM) - component of a modular concept in robotic systems. 2089–2094. 12 indexed citations

10.

Schröder, Joachim, Markus Hoffmann, Marius Zöllner, & Rüdiger Dillmann. (2007). Behavior Decision and Path Planning for Cognitive Vehicles using Behavior Networks. 710–715. 10 indexed citations

11.

Dillmann, Rüdiger, et al.. (2006). Biologically inspired walking machines: design, control and perception. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 365(1850). 133–151. 11 indexed citations

12.

Zöllner, R., O. Rogalla, R. Dillmann, & Marius Zöllner. (2003). Understanding users intention: programming fine manipulation tasks by demonstration. 2. 1114–1119. 48 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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