Yaniv Plan

4.6k citations

25 papers · 2.2k indexed · 2 hit papers · h-index 12

Impact in

Computational Mathematics top 1%
- Tensor decomposition and applications
Computational Mechanics top 0.5%
- Sparse and Compressive Sensing Techniques

Papers in

Co-authors: Emmanuel J. Candès Roman Vershynin Ery Arias-Castro Deanna Needell Özgür Yılmaz Simon Foucart Mary Wootters Richard G. Baraniuk
Journals: IEEE Transactions on Information Theory (4 papers)Information and Inference A Journal of the IMA (2 papers)IEEE Signal Processing Letters (1 paper)Discrete & Computational Geometry (1 paper)The Annals of Statistics (1 paper)
Partner nations: Canada United States Israel

In The Last Decade

Yaniv Plan

25 papers receiving 2.1k citations

Hit Papers

align trajectories log scale

A Probabilistic and RIPless Theory of Compressed Sensing 2011 · 333 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2011 IEEE Transactions on Information Theory
2010 Proceedings of the IEEE

Peers

Countries citing papers authored by Yaniv Plan

Since Specialization

Citations

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

Fields of papers citing papers by Yaniv Plan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Yaniv Plan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yaniv Plan Line = papers co-authored together Yaniv Plan links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	A Coherence Parameter Characterizing Generative Compressed Sensing With Fourier Measurements IEEE Journal on Selected Areas in Information Theory ·Bridget Joan Stutchbury, Simone Brugiapaglia, Gehan Elsayed Hafez, Yaniv Plan, Académie de Genève, Özgür Yılmaz	2022	2
2	Sparsity-Free Compressed Sensing With Applications to Generative Priors IEEE Journal on Selected Areas in Information Theory ·Elham Assadpour, Yaniv Plan	2022	2
3	PLUGIn: A simple algorithm for inverting generative models with recovery guarantees Neural Information Processing Systems ·Gehan Elsayed Hafez, Xiaowei Li, Yaniv Plan, Özgür Yılmaz	2021	2
4	Sub‐Gaussian Matrices on Sets: Optimal Tail Dependence and Applications Communications on Pure and Applied Mathematics ·Joshua Greendyk, Sayan Biswas, Yaniv Plan, Özgür Yılmaz	2021	6
5	Sensitivity of ℓ1 minimization to parameter choice Information and Inference A Journal of the IMA ·Bridget Joan Stutchbury, Yaniv Plan, Özgür Yılmaz	2020	5
6	Tight analyses for non-smooth stochastic gradient descent Conference on Learning Theory ·Nicholas J. A. Harvey, Christopher Liaw, Yaniv Plan, G. S. Frolova	2019	11
7	Nearly tight sample complexity bounds for learning mixtures of Gaussians via sample compression schemes Neural Information Processing Systems ·Brandon Heldin, Shai Ben-David, Nicholas J. A. Harvey, Christopher Liaw, Abbas Mehrabian, Yaniv Plan	2018	4
8	Learning Tensors From Partial Binary Measurements IEEE Transactions on Signal Processing ·Hengchao Shang, Yaniv Plan, Özgür Yılmaz	2018	21
9	Exponential Decay of Reconstruction Error From Binary Measurements of Sparse Signals IEEE Transactions on Information Theory ·Richard G. Baraniuk, Simon Foucart, Deanna Needell, Yaniv Plan, Mary Wootters	2017	55
10	Optimizing Quantization for Lasso Recovery IEEE Signal Processing Letters ·M. Barragán-Hernández, Jeff Foster, Hao-Jun Michael Shi, F. A. Pauli, Deanna Needell, Yaniv Plan	2017	2
11	Average-case hardness of RIP certification UCL Discovery (University College London) ·Tengyao Wang, Quentin Berthet, Yaniv Plan	2016	5
12	High-dimensional estimation with geometric constraints: Table 1. Information and Inference A Journal of the IMA ·Yaniv Plan, Roman Vershynin, Elena Yudovina	2016	30
13	The Generalized Lasso With Non-Linear Observations IEEE Transactions on Information Theory ·Yaniv Plan, Roman Vershynin	2016	87
14	On the effective measure of dimension in total variation minimization Raja Giryes, Yaniv Plan, Roman Vershynin	2015	1
15	One-bit compressed sensing with non-Gaussian measurements Linear Algebra and its Applications ·李旭虹, Rosilene Feiteiro de Melo, Yaniv Plan, Roman Vershynin	2013	68
16	Dimension Reduction by Random Hyperplane Tessellations Discrete & Computational Geometry ·Yaniv Plan, Roman Vershynin	2013	50
17	Uniqueness conditions for low-rank matrix recovery Applied and Computational Harmonic Analysis ·Yonina C. Eldar, Deanna Needell, Yaniv Plan	2012	23
18	Global testing under sparse alternatives: ANOVA, multiple comparisons and the higher criticism The Annals of Statistics ·Ery Arias-Castro, Emmanuel J. Candès, Yaniv Plan	2011	108
19	A Probabilistic and RIPless Theory of Compressed Sensing IEEE Transactions on Information Theory ·Emmanuel J. Candès, Yaniv Plan Hit paper breakdown →	2011	333
20	Matrix Completion With Noise Proceedings of the IEEE ·Emmanuel J. Candès, Yaniv Plan Hit paper breakdown →	2010	1048

About Yaniv Plan

Yaniv Plan is a scholar working on Computational Mathematics, Acoustics and Ultrasonics, Computational Mechanics, Signal Processing and Statistics and Probability, having authored 25 papers that have together received 2.2k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (21 papers), Blind Source Separation Techniques (10 papers), Image and Signal Denoising Methods (5 papers), Distributed Sensor Networks and Detection Algorithms (5 papers), Microwave Imaging and Scattering Analysis (4 papers), Machine Learning and Algorithms (3 papers), Statistical Methods and Inference (2 papers) and Machine Learning and Data Classification (2 papers). The work is most often cited by research in Computational Mathematics (126 citations), Computational Mechanics (1.5k citations), Signal Processing (508 citations), Acoustics and Ultrasonics (33 citations) and Computer Vision and Pattern Recognition (592 citations). Yaniv Plan has collaborated with scholars based in Canada, United States and Israel. Frequent co-authors include Emmanuel J. Candès, Roman Vershynin, Ery Arias-Castro, Deanna Needell, Özgür Yılmaz, Simon Foucart, Mary Wootters, Richard G. Baraniuk, Elena Yudovina and Yonina C. Eldar. Their work appears in journals such as IEEE Transactions on Information Theory, Information and Inference A Journal of the IMA, IEEE Signal Processing Letters, Discrete & Computational Geometry and The Annals of Statistics.

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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