Arvind Ganesh

17.2k total citations · 7 hit papers
43 papers, 11.9k citations indexed

About

Arvind Ganesh is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Signal Processing. According to data from OpenAlex, Arvind Ganesh has authored 43 papers receiving a total of 11.9k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 13 papers in Computational Mechanics and 9 papers in Signal Processing. Recurrent topics in Arvind Ganesh's work include Sparse and Compressive Sensing Techniques (13 papers), Medical Image Segmentation Techniques (8 papers) and Blind Source Separation Techniques (7 papers). Arvind Ganesh is often cited by papers focused on Sparse and Compressive Sensing Techniques (13 papers), Medical Image Segmentation Techniques (8 papers) and Blind Source Separation Techniques (7 papers). Arvind Ganesh collaborates with scholars based in India, United States and China. Arvind Ganesh's co-authors include John Wright, Shankar Sastry, Yi Ma, Yi Ma, Yigang Peng, Shankar Rao, Andrew Wagner, Wenli Xu, Zihan Zhou and Moshe Mishali and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Sensors and Actuators B Chemical and International Journal of Computer Vision.

In The Last Decade

Arvind Ganesh

39 papers receiving 11.6k citations

Hit Papers

Robust Face Recognition via Sparse Representation 2009 2026 2014 2020 2009 2012 2009 2012 2011 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
Arvind Ganesh India 19 7.7k 4.8k 2.4k 2.0k 1.9k 43 11.9k
Julien Mairal France 26 8.1k 1.0× 3.7k 0.8× 1.5k 0.6× 2.6k 1.3× 3.0k 1.6× 65 12.5k
Zhouchen Lin China 55 10.1k 1.3× 5.0k 1.1× 1.4k 0.6× 3.6k 1.8× 3.8k 2.0× 253 14.5k
Alfred M. Bruckstein⋆ Israel 46 9.2k 1.2× 5.2k 1.1× 2.2k 0.9× 2.7k 1.3× 1.5k 0.8× 245 15.7k
Renè Vidal United States 55 9.7k 1.3× 3.0k 0.6× 1.4k 0.6× 2.4k 1.2× 4.1k 2.2× 220 15.0k
Michal Aharon Israel 10 7.4k 1.0× 4.1k 0.9× 1.7k 0.7× 3.3k 1.7× 1.1k 0.6× 17 11.1k
Ivan Selesnick United States 53 6.1k 0.8× 2.1k 0.4× 2.4k 1.0× 2.6k 1.3× 721 0.4× 239 12.8k
Guangming Shi China 52 9.4k 1.2× 2.6k 0.5× 1.0k 0.4× 4.9k 2.4× 1.1k 0.6× 487 13.7k
Yi Ma China 14 5.6k 0.7× 2.5k 0.5× 1.5k 0.6× 1.6k 0.8× 1.6k 0.9× 41 8.3k
John Wright United States 34 14.9k 1.9× 8.2k 1.7× 3.6k 1.5× 5.6k 2.8× 3.3k 1.8× 95 22.5k
Trac D. Tran United States 39 3.1k 0.4× 2.2k 0.5× 1.7k 0.7× 2.4k 1.2× 572 0.3× 265 7.2k

Countries citing papers authored by Arvind Ganesh

Since Specialization
Citations

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

Fields of papers citing papers by Arvind Ganesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arvind Ganesh

This figure shows the co-authorship network connecting the top 25 collaborators of Arvind Ganesh. A scholar is included among the top collaborators of Arvind Ganesh 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 Arvind Ganesh. Arvind Ganesh 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
1.
Ganesh, Arvind, et al.. (2025). NSGTO‐LSTM: Niche‐strategy‐based gorilla troops optimization and long short‐term memory network intrusion detection model. ETRI Journal. 47(6). 1049–1060. 1 indexed citations
2.
Ganesh, Arvind, et al.. (2025). Enhanced photovoltaic performance of SmMoSe2 electron transport layer for perovskite solar cells. Journal of Materials Science Materials in Electronics. 36(3). 2 indexed citations
3.
Ganesh, Arvind, et al.. (2025). One-step process for ultrasensitive detection of mercuric ions using nanoparticle formation and single-entity electrochemistry. Sensors and Actuators B Chemical. 431. 137412–137412. 7 indexed citations
4.
Ganesh, Arvind, et al.. (2024). Exploring the Structural and Optical Properties of MoSe2 for Solar Cell Performance. Journal of Physics Conference Series. 2886(1). 12006–12006. 3 indexed citations
7.
Ganesh, Arvind, et al.. (2022). ANALYZING ANTIMICROBIAL ACTIVITY OF ALUMINIUM DOPED ZnO THIN FILMS. RASAYAN Journal of Chemistry. 15(1). 387–394. 1 indexed citations
8.
Ganesh, Arvind, et al.. (2019). Robust Image Restoration using Non-Local Graph Based Transform and Wave Atoms. International journal of intelligent engineering and systems. 12(4). 156–168. 1 indexed citations
9.
Ganesh, Arvind, et al.. (2019). Spatial assessment of groundwater vulnerability using DRASTIC model with GIS in Uppar odai sub-watershed, Nandiyar, Cauvery Basin, Tamil Nadu. Groundwater for Sustainable Development. 9. 100270–100270. 23 indexed citations
10.
Ganesh, Arvind, et al.. (2018). Adaptive Noise Detection Using Texture Feature Extraction and Random Forest Classification. International journal of intelligent engineering and systems. 11(5). 254–264. 1 indexed citations
11.
Eldar, Yonina C., Mark A. Davenport, Alexey Castrodad, et al.. (2012). Compressed Sensing. Cambridge University Press eBooks. 1142 indexed citations breakdown →
12.
Peng, Yigang, Arvind Ganesh, John Wright, Wenli Xu, & Yi Ma. (2012). RASL: Robust Alignment by Sparse and Low-Rank Decomposition for Linearly Correlated Images. IEEE Transactions on Pattern Analysis and Machine Intelligence. 34(11). 2233–2246. 580 indexed citations breakdown →
13.
Wright, John, Arvind Ganesh, Kerui Min, & Yi Ma. (2012). Compressive principal component pursuit. 1276–1280. 29 indexed citations
14.
Ganesh, Arvind, et al.. (2011). Surface water mapping for Watershed management using Geospatial technique. International journal of Geomatics and Geosciences. 2(1). 289–299. 1 indexed citations
15.
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
16.
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
17.
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 →
18.
Ganesh, Arvind, Zhouchen Lin, John Wright, et al.. (2009). Fast algorithms for recovering a corrupted low-rank matrix. 213–216. 143 indexed citations
19.
Wright, John, et al.. (2009). Robust Face Recognition via Sparse Representation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 31(2). 210–227. 6916 indexed citations breakdown →
20.
Wright, John, Arvind Ganesh, Zihan Zhou, Andrew Wagner, & Yi Ma. (2008). Demo: Robust face recognition via sparse representation. 1–2. 107 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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