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.
Saliency filters: Contrast based filtering for salient region detection
20121.5k citationsFederico Perazzi, Philipp Krähenbühl et al.profile →
Center-based 3D Object Detection and Tracking
20211.1k citationsTianwei Yin, Xingyi Zhou et al.profile →
Constrained Convolutional Neural Networks for Weakly Supervised Segmentation
2015351 citationsDeepak Pathak, Philipp Krähenbühl et al.profile →
Cross-view Transformers for real-time Map-view Semantic Segmentation
2022170 citationsPhilipp Krähenbühl et al.2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
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).
Fields of papers citing papers by Philipp Krähenbühl
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.
Co-authorship network of co-authors of Philipp Krähenbühl
This figure shows the co-authorship network connecting the top 25 collaborators of Philipp Krähenbühl.
A scholar is included among the top collaborators of Philipp Krähenbühl 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 Philipp Krähenbühl. Philipp Krähenbühl is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Perazzi, Federico, Philipp Krähenbühl, Yael Pritch, & Andreas Hornung. (2012). Saliency filters: Contrast based filtering for salient region detection. 733–740.1491 indexed citations breakdown →
16.
Levine, Sergey, Philipp Krähenbühl, Sebastian Thrun, & Vladlen Koltun. (2010). Gesture controllers. ACM Transactions on Graphics. 29(4). 1–11.91 indexed citations
17.
Levine, Sergey, Philipp Krähenbühl, Sebastian Thrun, & Vladlen Koltun. (2010). Gesture controllers. ACM Transactions on Graphics. 29(4). 1–1.1 indexed citations
18.
Krähenbühl, Philipp, Manuel Lang, Andreas Hornung, & Markus Groß. (2009). A system for retargeting of streaming video. ACM Transactions on Graphics. 28(5). 1–10.190 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.