Gilad Lerman
- Biomedical Engineering top 5%
- Atomic and Molecular Physics, and Optics top 5%
- Computer Vision and Pattern Recognition top 2%
- Computational Mechanics top 5%
- Electronic, Optical and Magnetic Materials top 10%
- Co-authors
- Uriel LevyGuangliang ChenAvner YanaiEry Arias-CastroTeng ZhangBoris E. ShakhnovichArdeshir EbtehajArthur Szlam
- Topics
- Sparse and Compressive Sensing Techniques (12 papers)Orbital Angular Momentum in Optics (7 papers)Near-Field Optical Microscopy (6 papers)
- Cited by
- Computer Vision and Pattern RecognitionSurfaces, Coatings and FilmsComputational Mathematics
- Journals
- Proceedings of the National Academy of SciencesJournal of Geophysical Research AtmospheresNano Letters
- Partner nations
- United StatesIsraelGermany
In The Last Decade
Gilad Lerman
43 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 96
- Biomedical Engineering 499
- Atomic and Molecular Physics, and Optics 426
- Computer Vision and Pattern Recognition 391
- Computational Mechanics 253
- Electronic, Optical and Magnetic Materials 200
Countries citing papers authored by Gilad Lerman
This map shows the geographic impact of Gilad Lerman'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 Gilad Lerman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gilad Lerman more than expected).
Fields of papers citing papers by Gilad Lerman
This network shows the impact of papers produced by Gilad Lerman. 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 Gilad Lerman. The network helps show where Gilad Lerman may publish in the future.
Co-authorship network of co-authors of Gilad Lerman
This figure shows the co-authorship network connecting the top 25 collaborators of Gilad Lerman. A scholar is included among the top collaborators of Gilad Lerman 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 Gilad Lerman. Gilad Lerman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | A Well-Tempered Landscape for Non-convex Robust Subspace Recovery | 15 |
| 6 | Spectral clustering based on local PCA | 36 |
| 7 | Robust Stochastic Principal Component Analysis | 18 |
| 8 | 8 | |
| 9 | 12 | |
| 10 | 7 | |
| 11 | On the Sample Complexity of Robust PCA | 2 |
| 12 | High-dimensional Menger-type curvatures. Part I: Geometric multipoles and multiscale inequalities | 14 |
| 13 | 16 | |
| 14 | 21 | |
| 15 | 17 | |
| 16 | 251 | |
| 17 | 9 | |
| 18 | 156 | |
| 19 | 70 | |
| 20 | 3 |
About Gilad Lerman
Gilad Lerman is a scholar working on Computational Mathematics, Computational Mechanics and Statistics and Probability, having authored 44 papers that have together received 1.3k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (12 papers), Orbital Angular Momentum in Optics (7 papers) and Near-Field Optical Microscopy (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (391 citations), Surfaces, Coatings and Films (135 citations) and Computational Mathematics (11 citations). Gilad Lerman has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Uriel Levy, Guangliang Chen, Avner Yanai, Ery Arias-Castro, Teng Zhang, Boris E. Shakhnovich, Teng Zhang, Ardeshir Ebtehaj, Arthur Szlam and Yi Wang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Geophysical Research Atmospheres and Nano Letters.
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.