Yaniv Plan

25 papers receiving 2.1k citations

Yaniv Plan's Hit Papers

A Probabilistic and RIPless Theory of Compressed Sensing 2011 · 333 citations
3330+5+10Years since publication2505007501000

Peers

Yaniv Plan
Comparison fields: 5 of 104
  • Computational Mathematics 126
  • Computational Mechanics 1.5k
  • Signal Processing 508
  • Acoustics and Ultrasonics 33
  • Computer Vision and Pattern Recognition 592
Replace Yuejie Chi with:
Yuejie Chi United States
Sujay Sanghavi United States
Raghunandan H. Keshavan United States
Ming‐Jun Lai United States
Shiqian Ma United States
Holger Rauhut Germany
Simon Foucart United States
Albert Cohen France
Waheed U. Bajwa United States
E. van den Berg United States
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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

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Matrix Completion With Noise
Hit paper breakdown →
20101048
2
A Probabilistic and RIPless Theory of Compressed Sensing
Hit paper breakdown →
2011333
3 2011318
4 2011108
5 201687
6 201368
7 201755
8 201350
9 201630
10 201223
11 201821
12
Tight analyses for non-smooth stochastic gradient descent
201911
13 20098
14 20216
15
Average-case hardness of RIP certification
20165
16 20205
17 20175
18
Nearly tight sample complexity bounds for learning mixtures of Gaussians via sample compression schemes
20184
19 20203
20
PLUGIn: A simple algorithm for inverting generative models with recovery guarantees
20212

About Yaniv Plan

Yaniv Plan is a scholar working on Computational Mechanics, Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications, 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), Distributed Sensor Networks and Detection Algorithms (5 papers), Image and Signal Denoising Methods (5 papers), Microwave Imaging and Scattering Analysis (4 papers), Machine Learning and Algorithms (3 papers), Statistical Methods and Inference (2 papers) and Advanced MRI Techniques and Applications (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, Simon Foucart, Mary Wootters, Özgür Yılmaz, 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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