Matan Gavish

1.8k total citations · 1 hit paper
30 papers, 847 citations indexed

About

Matan Gavish is a scholar working on Computational Mechanics, Signal Processing and Genetics. According to data from OpenAlex, Matan Gavish has authored 30 papers receiving a total of 847 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computational Mechanics, 7 papers in Signal Processing and 7 papers in Genetics. Recurrent topics in Matan Gavish's work include Sparse and Compressive Sensing Techniques (8 papers), Inflammatory Bowel Disease (7 papers) and Blind Source Separation Techniques (6 papers). Matan Gavish is often cited by papers focused on Sparse and Compressive Sensing Techniques (8 papers), Inflammatory Bowel Disease (7 papers) and Blind Source Separation Techniques (6 papers). Matan Gavish collaborates with scholars based in Israel, United States and Canada. Matan Gavish's co-authors include David L. Donoho, Ronald R. Coifman, Boaz Nadler, Ron Bekkerman, Richard G. Baraniuk, Andrea Montanari, Dan Turner, Anne M. Griffiths, Eva Coppenrath and Eran Matz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Matan Gavish

28 papers receiving 811 citations

Hit Papers

align trajectories sort by overperformance

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.

The Optimal Hard Threshold for Singular Values is <inline-formula> <tex-math notation="TeX">\(4/\sqrt {3}\) </tex-math></inline-formula>

2014 374 citations Matan Gavish, David L. Donoho IEEE Transactions on Information Theory profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matan Gavish Israel	13	186	169	145	139	105	30	847
Dejan Slepčev United States	19	159 0.9×	228 1.3×	157 1.1×	116 0.8×	34 0.3×	43	1.3k
Béatrice Laurent France	15	264 1.4×	169 1.0×	68 0.5×	61 0.4×	61 0.6×	48	1.1k
Yuling Jiao China	15	81 0.4×	298 1.8×	216 1.5×	38 0.3×	34 0.3×	67	672
Rongjie Lai United States	18	81 0.4×	396 2.3×	399 2.8×	46 0.3×	134 1.3×	60	1.0k
Kaare Brandt Petersen Denmark	9	309 1.7×	136 0.8×	193 1.3×	58 0.4×	239 2.3×	16	1.0k
Eric Klassen United States	23	215 1.2×	452 2.7×	988 6.8×	38 0.3×	112 1.1×	71	2.1k
Rachel Ward United States	19	366 2.0×	811 4.8×	339 2.3×	113 0.8×	194 1.8×	64	1.4k
Thomas Gerstner Germany	11	64 0.3×	224 1.3×	82 0.6×	133 1.0×	13 0.1×	30	1.3k
Holger Höfling United States	3	341 1.8×	364 2.2×	222 1.5×	26 0.2×	112 1.1×	4	1.3k

Countries citing papers authored by Matan Gavish

Since Specialization

Citations

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

Fields of papers citing papers by Matan Gavish

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matan Gavish

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

All Works

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20 of 20 papers shown

Qin, Lin, Menachem Moshelion, Jie He, et al.. (2025). Harnessing smartphone RGB imagery and LiDAR point cloud for enhanced leaf nitrogen and shoot biomass assessment - Chinese spinach as a case study. Frontiers in Plant Science. 16. 1592329–1592329.

Gavish, Matan. (2024). A Familiar, Invisible Engine Is Driving the AI Revolution. SHILAP Revista de lepidopterología. 6(1).

Srebnik, Naama, et al.. (2024). Evaluating the heterogeneous effect of extended culture to blastocyst transfer on the implantation outcome via causal inference in fresh ICSI cycles. Journal of Assisted Reproduction and Genetics. 41(3). 703–715. 1 indexed citations

Donoho, David L., et al.. (2023). ScreeNOT: Exact MSE-optimal singular value thresholding in correlated noise. The Annals of Statistics. 51(1). 7 indexed citations

Gavish, Matan, et al.. (2023). Matrix denoising with partial noise statistics: optimal singular value shrinkage of spiked F-matrices. Information and Inference A Journal of the IMA. 12(3). 2020–2065. 2 indexed citations

Focht, Gili, Mary‐Louise C. Greer, Denise Castro, et al.. (2022). Development, Validation, and Evaluation of the Pediatric Inflammatory Crohn’s Magnetic Resonance Enterography Index From the ImageKids Study. Gastroenterology. 163(5). 1306–1320. 17 indexed citations

Turner, Dan, Mary‐Louise C. Greer, Denise Castro, et al.. (2021). Development and Validation of a Pediatric MRI-Based Perianal Crohn Disease (PEMPAC) Index—A Report from the ImageKids Study. Inflammatory Bowel Diseases. 28(5). 700–709. 16 indexed citations

Leach, Steven T., Andrew S. Day, Thomas D. Walters, et al.. (2020). Fecal Markers of Inflammation and Disease Activity in Pediatric Crohn Disease. Journal of Pediatric Gastroenterology and Nutrition. 70(5). 580–585. 6 indexed citations

Lindenbaum, Ofir, et al.. (2020). Local conformal autoencoder for standardized data coordinates. Proceedings of the National Academy of Sciences. 117(49). 30918–30927. 10 indexed citations

10.

Baraniuk, Richard G., David L. Donoho, & Matan Gavish. (2020). The science of deep learning. Proceedings of the National Academy of Sciences. 117(48). 30029–30032. 30 indexed citations

11.

Szeskin, Adi, Yuval Or, Zeev Shoham, et al.. (2020). Automated Evaluation of Human Embryo Blastulation and Implantation Potential using Deep‐Learning. SHILAP Revista de lepidopterología. 2(10). 23 indexed citations

12.

Gavish, Matan, et al.. (2018). Near-optimal matrix recovery from random linear measurements. Proceedings of the National Academy of Sciences. 115(28). 7200–7205. 8 indexed citations

13.

Gavish, Matan & David L. Donoho. (2014). The Optimal Hard Threshold for Singular Values is <inline-formula> <tex-math notation="TeX">\(4/\sqrt {3}\) </tex-math></inline-formula>. IEEE Transactions on Information Theory. 60(8). 5040–5053. 374 indexed citations breakdown →

14.

Donoho, David L., Matan Gavish, & Andrea Montanari. (2013). The phase transition of matrix recovery from Gaussian measurements matches the minimax MSE of matrix denoising. Proceedings of the National Academy of Sciences. 110(21). 8405–8410. 31 indexed citations

15.

Gavish, Matan, et al.. (2013). Dream applications of verifiable computational results. XRDS Crossroads The ACM Magazine for Students. 19(3). 58–61. 1 indexed citations

16.

Gavish, Matan & Boaz Nadler. (2013). Normalized Cuts Are Approximately Inverse Exit Times. SIAM Journal on Matrix Analysis and Applications. 34(2). 757–772. 1 indexed citations

17.

Gavish, Matan & Ronald R. Coifman. (2012). Sampling, denoising and compression of matrices by coherent matrix organization. Applied and Computational Harmonic Analysis. 33(3). 354–369. 17 indexed citations

18.

Bekkerman, Ron & Matan Gavish. (2011). High-precision phrase-based document classification on a modern scale. 231–239. 31 indexed citations

19.

Gavish, Matan, Boaz Nadler, & Ronald R. Coifman. (2010). Multiscale Wavelets on Trees, Graphs and High Dimensional Data: Theory and Applications to Semi Supervised Learning. International Conference on Machine Learning. 367–374. 104 indexed citations

20.

Gavish, Matan, Amnon Peled, & Benny Chor. (2007). Genetic code symmetry and efficient design of GC-constrained coding sequences. Bioinformatics. 23(2). e57–e63. 5 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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