Shankar Rao

2.2k total citations · 1 hit paper
13 papers, 1.4k citations indexed

About

Shankar Rao is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Signal Processing. According to data from OpenAlex, Shankar Rao has authored 13 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 6 papers in Computational Mechanics and 3 papers in Signal Processing. Recurrent topics in Shankar Rao's work include Sparse and Compressive Sensing Techniques (6 papers), Advanced Vision and Imaging (3 papers) and Medical Image Segmentation Techniques (3 papers). Shankar Rao is often cited by papers focused on Sparse and Compressive Sensing Techniques (6 papers), Advanced Vision and Imaging (3 papers) and Medical Image Segmentation Techniques (3 papers). Shankar Rao collaborates with scholars based in United States, China and United Kingdom. Shankar Rao's co-authors include Yi Ma, John Wright, Arvind Ganesh, Yigang Peng, Renè Vidal, Roberto Tron, Allen Y. Yang, S. Shankar Sastry, Hossein Mobahi and Kun Huang and has published in prestigious journals such as International Journal of Computer Vision, Computer Vision and Image Understanding and Inverse Problems and Imaging.

In The Last Decade

Shankar Rao

12 papers receiving 1.4k citations

Hit Papers

align trajectories

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.

Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization

2009 1.1k citations John Wright, Arvind Ganesh et al. IDEALS (University of Illinois Urbana-Champaign) profile →

Peers

Countries citing papers authored by Shankar Rao

Since Specialization

Citations

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

Fields of papers citing papers by Shankar Rao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shankar Rao

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

All Works

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13 of 13 papers shown

#	Work	Indexed citations
1	Foveated compressive imaging for low power vehicle fingerprinting and tracking in aerial imagery 2017 ·Inverse Problems and Imaging ·Kang-Yu Ni, Shankar Rao, Y. Owechko	1
2	SAR moving target imaging using sparse and low-rank decomposition 2014 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Kang-Yu Ni, Shankar Rao	4
3	Context and task-aware knowledge-enhanced compressive imaging 2013 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Shankar Rao, Kang-Yu Ni, Y. Owechko	0
4	Segmentation of Natural Images by Texture and Boundary Compression 2011 ·International Journal of Computer Vision ·Hossein Mobahi, Shankar Rao, Allen Y. Yang, S. Shankar Sastry, Yi Ma	94
5	Multi-object detection and behavior recognition from motion 3D data 2011 ·Kyungnam Kim, Michael C. Cao, Shankar Rao, Jiejun Xu, Swarup Medasani, Y. Owechko	3
6	Robust Algebraic Segmentation of Mixed Rigid-Body and Planar Motions from Two Views 2010 ·International Journal of Computer Vision ·Shankar Rao, Allen Y. Yang, S. Shankar Sastry, Yi Ma	44
7	Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization breakdown → 2009 ·IDEALS (University of Illinois Urbana-Champaign) ·John Wright, Arvind Ganesh, Shankar Rao, Yigang Peng, Yi Ma	1059
8	Data-driven image completion by image patch subspaces 2009 ·Hossein Mobahi, Shankar Rao, Yi Ma	11
9	Motion segmentation via robust subspace separation in the presence of outlying, incomplete, or corrupted trajectories 2008 ·Shankar Rao, Roberto Tron, Renè Vidal, Yi Ma	147
10	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
11	Homography from Coplanar Ellipses with Application to Forensic Blood Splatter Reconstruction 2006 ·John Wright, Andrew Wagner, Shankar Rao, Yi Ma	12
12	Symmetry-based 3-D reconstruction from perspective images 2005 ·Computer Vision and Image Understanding ·Allen Y. Yang, Kun Huang, Shankar Rao, Wei Hong, Yi Ma	32
13	Geometric segmentation of perspective images based on symmetry groups 2003 ·(unknown), Shankar Rao, Kun Huang, (unknown), Yi Ma	12

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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