Philip Lenz

5 papers and 4.7k indexed citations i.

About

Philip Lenz is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Philip Lenz has authored 5 papers receiving a total of 4.7k 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 Philip Lenz’s work include Video Surveillance and Tracking Methods (3 papers), Advanced Neural Network Applications (2 papers) and Robotics and Sensor-Based Localization (2 papers). Philip Lenz is often cited by papers focused on Video Surveillance and Tracking Methods (3 papers), Advanced Neural Network Applications (2 papers) and Robotics and Sensor-Based Localization (2 papers). Philip Lenz collaborates with scholars based in Germany, United States and Canada. Philip Lenz's co-authors include Andreas Geiger, Raquel Urtasun, Christoph Stiller, Martin Röser, Julius Ziegler, Ferran Diego, Oliver Lange and Carsten Rother and has published in prestigious journals such as The International Journal of Robotics Research, arXiv (Cornell University) and IEEE Intelligent Vehicles Symposium.

In The Last Decade

Co-authorship network of co-authors of Philip Lenz i

Fields of papers citing papers by Philip Lenz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Philip Lenz

Since Specialization
Citations

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