John Wright

33.4k total citations · 7 hit papers
95 papers, 22.5k citations indexed

About

John Wright is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, John Wright has authored 95 papers receiving a total of 22.5k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Computational Mechanics, 42 papers in Computer Vision and Pattern Recognition and 22 papers in Signal Processing. Recurrent topics in John Wright's work include Sparse and Compressive Sensing Techniques (43 papers), Blind Source Separation Techniques (19 papers) and Face and Expression Recognition (12 papers). John Wright is often cited by papers focused on Sparse and Compressive Sensing Techniques (43 papers), Blind Source Separation Techniques (19 papers) and Face and Expression Recognition (12 papers). John Wright collaborates with scholars based in United States, China and Canada. John Wright's co-authors include Yi Ma, Arvind Ganesh, Yi Ma, Shankar Sastry, Emmanuel J. Candès, Xiaodong Li, Thomas S. Huang, Shuicheng Yan, Yi Ma and Yigang Peng and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Analytical Chemistry and Proceedings of the IEEE.

In The Last Decade

John Wright

94 papers receiving 21.8k citations

Hit Papers

Robust Face Recognition via Sparse Representation 2009 2026 2014 2020 2009 2011 2010 2010 2009 2.0k 4.0k 6.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
John Wright United States 34 14.9k 8.2k 5.6k 3.6k 3.3k 95 22.5k
Yi Ma United States 65 15.6k 1.0× 8.3k 1.0× 4.4k 0.8× 3.1k 0.9× 4.4k 1.3× 254 31.3k
Jian Yang China 74 20.3k 1.4× 3.5k 0.4× 6.7k 1.2× 3.0k 0.8× 6.1k 1.8× 647 28.4k
Xiaoou Tang Hong Kong 81 35.4k 2.4× 3.5k 0.4× 7.4k 1.3× 4.5k 1.2× 6.5k 2.0× 267 42.5k
David Kriegman United States 54 20.8k 1.4× 3.2k 0.4× 3.4k 0.6× 4.3k 1.2× 3.2k 1.0× 157 24.9k
Zhouchen Lin China 55 10.1k 0.7× 5.0k 0.6× 3.6k 0.6× 1.4k 0.4× 3.8k 1.1× 253 14.5k
Wotao Yin United States 53 6.9k 0.5× 9.6k 1.2× 1.8k 0.3× 1.7k 0.5× 2.6k 0.8× 176 18.5k
Wangmeng Zuo China 78 25.4k 1.7× 3.0k 0.4× 10.0k 1.8× 2.9k 0.8× 5.0k 1.5× 400 35.1k
Alfred M. Bruckstein⋆ Israel 46 9.2k 0.6× 5.2k 0.6× 2.7k 0.5× 2.2k 0.6× 1.5k 0.5× 245 15.7k
Deyu Meng China 63 13.2k 0.9× 2.7k 0.3× 7.1k 1.3× 937 0.3× 3.1k 0.9× 318 20.2k
Arvind Ganesh India 19 7.7k 0.5× 4.8k 0.6× 2.0k 0.4× 2.4k 0.7× 1.9k 0.6× 43 11.9k

Countries citing papers authored by John Wright

Since Specialization
Citations

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

Fields of papers citing papers by John Wright

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Wright

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

All Works

20 of 20 papers shown
2.
West, Alan C., et al.. (2020). Probing the Speed Limits of Scanning Electrochemical Microscopy with In situ Colorimetric Imaging. ChemElectroChem. 7(11). 2424–2432. 2 indexed citations
3.
Liao, Zhenyu, et al.. (2020). Complete Dictionary Learning via L4-Norm Maximization over the Orthogonal Group. arXiv (Cornell University). 21(165). 1–68. 9 indexed citations
4.
Wright, John, et al.. (2020). A Multi-Branch Receiver With Modulated Mixer Clocks for Concurrent Dual-Carrier Reception and Rapid Compressive-Sampling Spectrum Scanning. IEEE Journal of Solid-State Circuits. 56(1). 235–253. 8 indexed citations
5.
Wright, John, et al.. (2019). Design and operation of a scanning electrochemical microscope for imaging with continuous line probes. Review of Scientific Instruments. 90(8). 83702–83702. 5 indexed citations
6.
Zhang, Yuqian, et al.. (2018). Structured Local Minima in Sparse Blind Deconvolution. Neural Information Processing Systems. 31. 2322–2331. 2 indexed citations
7.
O’Neil, Glen D., et al.. (2018). Scanning Line Probe Microscopy: Beyond the Point Probe. Analytical Chemistry. 90(19). 11531–11537. 6 indexed citations
9.
Sun, Ju, Qing Qu, & John Wright. (2015). Complete Dictionary Recovery Using Nonconvex Optimization. International Conference on Machine Learning. 2351–2360. 16 indexed citations
10.
Wu, Xiao-Ming, Zhenguo Li, Anthony Man–Cho So, John Wright, & Shih‐Fu Chang. (2012). Learning with Partially Absorbing Random Walks. Neural Information Processing Systems. 25. 3077–3085. 72 indexed citations
11.
Spielman, Daniel A., Huan Wang, & John Wright. (2012). Exact Recovery of Sparsely-Used Dictionaries. arXiv (Cornell University). 31 indexed citations
12.
Peng, Yigang, Arvind Ganesh, John Wright, Wenli Xu, & Yi Ma. (2010). RASL: Robust alignment by sparse and low-rank decomposition for linearly correlated images. 763–770. 178 indexed citations
13.
Ganesh, Arvind, John Wright, Xiaodong Li, Emmanuel J. Candès, & Yi Ma. (2010). Dense error correction for low-rank matrices via Principal Component Pursuit. 61 indexed citations
14.
Min, Kerui, Linjun Yang, John Wright, et al.. (2010). Compact projection: Simple and efficient near neighbor search with practical memory requirements. 1. 3477–3484. 28 indexed citations
15.
Wright, John, Arvind Ganesh, Shankar Rao, Yigang Peng, & Yi Ma. (2009). Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization. IDEALS (University of Illinois Urbana-Champaign). 22. 2080–2088. 1059 indexed citations breakdown →
16.
Wright, John & Yi Ma. (2009). Dense error correction via l1-minimization. 3033–3036. 38 indexed citations
17.
Ganesh, Arvind, Zhouchen Lin, John Wright, et al.. (2009). Fast algorithms for recovering a corrupted low-rank matrix. 213–216. 143 indexed citations
18.
Wright, John, et al.. (2009). Minimum sum of distances estimator: Robustness and stability. 524–530. 10 indexed citations
19.
Wright, John, Yangyu Tao, Zhouchen Lin, Yi Ma, & Heung‐Yeung Shum. (2007). Classification via Minimum Incremental Coding Length (MICL). SIAM Journal on Imaging Sciences. 20. 1633–1640. 8 indexed citations
20.
Hong, Wei, John Wright, Kun Huang, & Yi Ma. (2005). A multiscale hybrid linear model for lossy image representation. 764–771 Vol. 1. 23 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.

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