Philipp Krähenbühl

27 papers and 6.2k indexed citations i.

About

Philipp Krähenbühl is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Automotive Engineering. According to data from OpenAlex, Philipp Krähenbühl has authored 27 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 3 papers in Automotive Engineering. Recurrent topics in Philipp Krähenbühl’s work include Advanced Neural Network Applications (8 papers), Human Pose and Action Recognition (7 papers) and Multimodal Machine Learning Applications (6 papers). Philipp Krähenbühl is often cited by papers focused on Advanced Neural Network Applications (8 papers), Human Pose and Action Recognition (7 papers) and Multimodal Machine Learning Applications (6 papers). Philipp Krähenbühl collaborates with scholars based in United States, Switzerland and Israel. Philipp Krähenbühl's co-authors include Trevor Darrell, Jeff Donahue, Alexei A. Efros, Deepak Pathak, Andreas Hornung, Yael Pritch, Federico Perazzi, Xingyi Zhou, Tianwei Yin and Deepak Pathak and has published in prestigious journals such as ACM Transactions on Graphics, Science Robotics and BMC Research Notes.

In The Last Decade

Co-authorship network of co-authors of Philipp Krähenbühl i

Fields of papers citing papers by Philipp Krähenbühl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Philipp Krähenbühl

Since Specialization
Citations

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