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.
Histograms of Oriented Gradients for Human Detection
200521.1k citationsNavneet Dalal, Bill TriggsHAL (Le Centre pour la Communication Scientifique Directe)profile →
Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions
20102.0k citationsXiaoyang Tan, Bill TriggsIEEE Transactions on Image Processingprofile →
Creating efficient codebooks for visual recognition
2005462 citationsFrédéric Jurie, Bill TriggsHAL (Le Centre pour la Communication Scientifique Directe)profile →
Recovering 3D human pose from monocular images
2006461 citationsAnkur Agarwal, Bill TriggsIEEE Transactions on Pattern Analysis and Machine Intelligenceprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Bill Triggs'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 Bill Triggs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bill Triggs more than expected).
This network shows the impact of papers produced by Bill Triggs. 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 Bill Triggs. The network helps show where Bill Triggs may publish in the future.
Co-authorship network of co-authors of Bill Triggs
This figure shows the co-authorship network connecting the top 25 collaborators of Bill Triggs.
A scholar is included among the top collaborators of Bill Triggs 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 Bill Triggs. Bill Triggs is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Tan, Xiaoyang & Bill Triggs. (2010). Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions. IEEE Transactions on Image Processing. 19(6). 1635–1650.2029 indexed citations breakdown →
5.
Triggs, Bill & Jakob Verbeek. (2007). Scene Segmentation with CRFs Learned from Partially Labeled Images. Neural Information Processing Systems. 20. 1553–1560.88 indexed citations
6.
Verbeek, Jakob & Bill Triggs. (2007). Scene segmentation with Conditional Random Fields learned from partially labeled images. Neural Information Processing Systems. 1553–1560.27 indexed citations
7.
Dalal, Navneet, et al.. (2006). Human Detection using Oriented Histograms of Flow and Appearance.1 indexed citations
8.
Agarwal, Ankur & Bill Triggs. (2006). Recovering 3D human pose from monocular images. IEEE Transactions on Pattern Analysis and Machine Intelligence. 28(1). 44–58.461 indexed citations breakdown →
9.
Nowak, Éric, et al.. (2006). Sampling strategies for bag-of-features image classification.1 indexed citations
10.
Triggs, Bill, et al.. (2006). A local basis representation for estimating human pose from cluttered images.5 indexed citations
11.
Dalal, Navneet & Bill Triggs. (2005). Histograms of Oriented Gradients for Human Detection. HAL (Le Centre pour la Communication Scientifique Directe). 1. 886–893.21115 indexed citations breakdown →
12.
Jurie, Frédéric & Bill Triggs. (2005). Creating efficient codebooks for visual recognition. HAL (Le Centre pour la Communication Scientifique Directe). 604–610 Vol. 1.462 indexed citations breakdown →
13.
Sminchisescu, Cristian & Bill Triggs. (2005). Fast mixing hyperdynamic sampling. Image and Vision Computing. 24(3). 279–289.5 indexed citations
Triggs, Bill, Andrew Zisserman, & Richard Szeliski. (2000). Vision algorithms : theory and practice : International Workshop on Vision Algorithms, Corfu, Greece, September 21-22, 1999 : proceedings. Springer eBooks.20 indexed citations
19.
Quan, Long & Bill Triggs. (2000). A Unification of Autocalibration Methods. HAL (Le Centre pour la Communication Scientifique Directe).6 indexed citations
20.
Sminchisescu, Cristian & Bill Triggs. (2000). A Robust Multiple Hypothesis Approach to Monocular Human Motion Tracking. OpenGrey (Institut de l'Information Scientifique et Technique).11 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.