Haim Avron

2.1k citations
45 papers · 1.1k · h-index 17

Impact in

Papers in

Haim Avron

45 papers receiving 994 citations

Peers

Haim Avron
Comparison fields: 5 of 91
  • Computational Mathematics 98
  • Computational Mechanics 400
  • Computer Graphics and Computer-Aided Design 63
  • Computational Theory and Mathematics 227
  • Computer Vision and Pattern Recognition 287
Replace Afonso S. Bandeira with:
Afonso S. Bandeira United States
Nicolas Boumal United States
Nikos Pitsianis United States
Chen Greif Canada
Shivkumar Chandrasekaran United States
Edo Liberty United States
Abderrahim Elmoataz France
Raghu Meka United States
Ichitaro Yamazaki United States
Simon Setzer Germany
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Citations per field
00.5×3.8×
Afonso S. Bandeira · 1×
Citations per year

Countries citing papers authored by Haim Avron

Since Specialization
Citations

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

Fields of papers citing papers by Haim Avron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Haim Avron, 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 Haim Avron Line = papers co-authored together Haim Avron links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010166
2 2011152
3 2010112
4 202175
5 201463
6 201750
7 201346
8 201242
9
Counting Triangles in Large Graphs using Randomized Matrix Trace Estimation
201038
10 201731
11 201528
12 200926
13 201423
14
Subspace Embeddings for the Polynomial Kernel
201422
15 202122
16 202221
17
Random Fourier Features for Kernel Ridge Regression: Approximation Bounds and Statistical Guarantees
201716
18 200915
19
Sketching Structured Matrices for Faster Nonlinear Regression
201312
20 201511

About Haim Avron

Haim Avron is a scholar working on Artificial Intelligence, Computational Mechanics, Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Computational Mathematics, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (18 papers), Matrix Theory and Algorithms (13 papers), Stochastic Gradient Optimization Techniques (13 papers), Tensor decomposition and applications (7 papers), Parallel Computing and Optimization Techniques (6 papers), Face and Expression Recognition (5 papers), Gaussian Processes and Bayesian Inference (4 papers) and Electromagnetic Scattering and Analysis (3 papers). The work is most often cited by research in Computational Mathematics (98 citations), Computational Mechanics (400 citations), Computer Graphics and Computer-Aided Design (63 citations), Computational Theory and Mathematics (227 citations) and Computer Vision and Pattern Recognition (287 citations). Haim Avron has collaborated with scholars based in Israel, United States and Switzerland. Frequent co-authors include Sivan Toledo, Andrei Sharf, Chen Greif, Daniel Cohen‐Or, Vikas Sindhwani, Petar Maymounkov, Lior Horesh, David P. Woodruff, Christos Boutsidis and Misha E. Kilmer. Their work appears in journals such as SIAM Journal on Matrix Analysis and Applications, SIAM Journal on Scientific Computing, Journal of the ACM, Journal of Computational and Applied Mathematics and Technometrics.

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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