Max Argus

7 papers and 233 indexed citations i.

About

Max Argus is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Max Argus has authored 7 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 2 papers in Aerospace Engineering and 2 papers in Artificial Intelligence. Recurrent topics in Max Argus’s work include Robot Manipulation and Learning (2 papers), Human Pose and Action Recognition (2 papers) and Robotics and Sensor-Based Localization (2 papers). Max Argus is often cited by papers focused on Robot Manipulation and Learning (2 papers), Human Pose and Action Recognition (2 papers) and Robotics and Sensor-Based Localization (2 papers). Max Argus collaborates with scholars based in Germany, United States and Spain. Max Argus's co-authors include Thomas Brox, Christian Zimmermann, Duygu Ceylan, Bryan Russell, Shuicheng Yan, Mohammadreza Zolfaghari, Andreas Eitel, Wolfram Burgard, Abhinav Valada and Tim Welschehold and has published in prestigious journals such as 2021 IEEE/CVF International Conference on Computer Vision (ICCV), arXiv (Cornell University) and 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

In The Last Decade

Co-authorship network of co-authors of Max Argus i

Fields of papers citing papers by Max Argus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Max Argus

Since Specialization
Citations

This map shows the geographic impact of Max Argus'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 Max Argus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max Argus 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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2025