Andrew Wagner

1.3k total citations · 1 hit paper
14 papers, 887 citations indexed

About

Andrew Wagner is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computational Mechanics. According to data from OpenAlex, Andrew Wagner has authored 14 papers receiving a total of 887 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 4 papers in Signal Processing and 3 papers in Computational Mechanics. Recurrent topics in Andrew Wagner's work include Face and Expression Recognition (4 papers), Face recognition and analysis (4 papers) and Sparse and Compressive Sensing Techniques (3 papers). Andrew Wagner is often cited by papers focused on Face and Expression Recognition (4 papers), Face recognition and analysis (4 papers) and Sparse and Compressive Sensing Techniques (3 papers). Andrew Wagner collaborates with scholars based in United States. Andrew Wagner's co-authors include Yi Ma, Zihan Zhou, Arvind Ganesh, Hossein Mobahi, John Wright, Zihan Zhou, Kun Huang, Yi Ma, Ai‐Li Yang and Suyun Rao and has published in prestigious journals such as Science, IEEE Transactions on Pattern Analysis and Machine Intelligence and 2009 IEEE Conference on Computer Vision and Pattern Recognition.

In The Last Decade

Andrew Wagner

12 papers receiving 849 citations

Hit Papers

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What are hit papers?

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.

Toward a Practical Face Recognition System: Robust Alignment and Illumination by Sparse Representation

2011 440 citations Andrew Wagner, Arvind Ganesh et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers

Countries citing papers authored by Andrew Wagner

Since Specialization

Citations

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

Fields of papers citing papers by Andrew Wagner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Wagner

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Wagner. A scholar is included among the top collaborators of Andrew Wagner 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 Andrew Wagner. Andrew Wagner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

#	Work	Indexed citations
1	Enhancing Bicyclist Volume Estimation with Data Fusion and Deep Learning Techniques 2024 ·(unknown), Andrew Wagner, (unknown), Joseph Broach, Sirisha Kothuri	0
2	Watch this soft robot heal like Wolverine 2017 ·Science ·Andrew Wagner	0
3	Why do we keep making robots that look like people? This video has some answers 2017 ·Science ·Andrew Wagner	1
4	Toward a Practical Face Recognition System: Robust Alignment and Illumination by Sparse Representation breakdown → 2011 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Andrew Wagner, (unknown), Arvind Ganesh, Zihan Zhou, Hossein Mobahi, Yi Ma	440
5	Fast ℓ<inf>1</inf>-minimization and parallelization for face recognition 2011 ·Victor Shia, Allen Y. Yang, S. Shankar Sastry, Andrew Wagner, Yi Ma	4
6	Face recognition with contiguous occlusion using markov random fields 2009 ·Zihan Zhou, Andrew Wagner, Hossein Mobahi, John Wright, Yi Ma	139
7	Towards a practical face recognition system: Robust registration and illumination by sparse representation 2009 ·2009 IEEE Conference on Computer Vision and Pattern Recognition ·Andrew Wagner, John Wright, Arvind Ganesh, Zihan Zhou, Yi Ma	134
8	Demo: Robust face recognition via sparse representation 2008 ·John Wright, Arvind Ganesh, Zihan Zhou, Andrew Wagner, Yi Ma	107
9	The algebra and statistics of generalized principal component analysis 2007 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Shankar Rao, Harm Derksen, Robert M. Fossum, Yi Ma, Andrew Wagner, Allen Y. Yang	1
10	Homography from Coplanar Ellipses with Application to Forensic Blood Splatter Reconstruction 2006 ·John Wright, Andrew Wagner, Shankar Rao, Yi Ma	12
11	Segmentation of a Piece-Wise Planar Scene from Perspective Images 2005 ·Ai‐Li Yang, Suyun Rao, Andrew Wagner, Yue Ma	8
12	Hilbert functions and applications to the estimation of subspace arrangements 2005 ·Ai‐Li Yang, Suyun Rao, Andrew Wagner, Yi Ma, Robert M. Fossum	6
13	Segmentation of hybrid motions via hybrid quadratic surface analysis 2005 ·Suyun Rao, Ai‐Li Yang, Andrew Wagner, Yi Ma	5
14	Identification of hybrid linear time-invariant systems via subspace embedding and segmentation (SES) 2004 ·2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601) ·Kun Huang, Andrew Wagner, Yi Ma	30

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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