Edo Liberty
- Artificial Intelligence top 2%
- Computational Mechanics top 2%
- Computer Vision and Pattern Recognition top 5%
- Computational Theory and Mathematics top 2%
- Statistical and Nonlinear Physics top 5%
- Co-authors
- Mark TygertVladimir RokhlinNir AilonPer‐Gunnar MartinssonLiran KatzirOren SomekhZohar KarninSteven W. Zucker
- Topics
- Sparse and Compressive Sensing Techniques (11 papers)Complexity and Algorithms in Graphs (7 papers)Data Management and Algorithms (7 papers)
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Edo Liberty
36 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 99
- Artificial Intelligence 573
- Computational Mechanics 432
- Computer Vision and Pattern Recognition 269
- Computational Theory and Mathematics 246
- Statistical and Nonlinear Physics 171
Countries citing papers authored by Edo Liberty
This map shows the geographic impact of Edo Liberty'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 Edo Liberty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edo Liberty more than expected).
Fields of papers citing papers by Edo Liberty
This network shows the impact of papers produced by Edo Liberty. 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 Edo Liberty. The network helps show where Edo Liberty may publish in the future.
Co-authorship network of co-authors of Edo Liberty
This figure shows the co-authorship network connecting the top 25 collaborators of Edo Liberty. A scholar is included among the top collaborators of Edo Liberty 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 Edo Liberty. Edo Liberty 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 | 2 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | Discrepancy, Coresets, and Sketches in Machine Learning | 1 |
| 6 | ProxQuant: Quantized Neural Networks via Proximal Operators | 18 |
| 7 | 3 | |
| 8 | 45 | |
| 9 | 12 | |
| 10 | Online with Spectral Bounds. | 1 |
| 11 | 43 | |
| 12 | 18 | |
| 13 | 39 | |
| 14 | 131 | |
| 15 | Unsupervised SVMs: On the Complexity of the Furthest Hyperplane Problem | 5 |
| 16 | 18 | |
| 17 | 25 | |
| 18 | 80 | |
| 19 | 5 | |
| 20 | 173 |
About Edo Liberty
Edo Liberty is a scholar working on Computational Mathematics, Signal Processing and Artificial Intelligence, having authored 39 papers that have together received 1.3k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (11 papers), Complexity and Algorithms in Graphs (7 papers) and Data Management and Algorithms (7 papers). The work is most often cited by research in Computational Mathematics (99 citations), Computational Mechanics (432 citations) and Artificial Intelligence (573 citations). Edo Liberty has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Mark Tygert, Vladimir Rokhlin, Nir Ailon, Per‐Gunnar Martinsson, Liran Katzir, Oren Somekh, Zohar Karnin, Steven W. Zucker, Kevin Lang and Jeff M. Phillips. Their work appears in journals such as Proceedings of the National Academy of Sciences, Sensors and Journal of the ACM.
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.