Arye Nehorai
- Signal Processing top 0.01%
- Aerospace Engineering top 0.05%
- Electrical and Electronic Engineering top 0.5%
- Computational Mechanics top 0.2%
- Biomedical Engineering top 1%
- Co-authors
- Petre StoicaCarlos H. MuravchikPetr TichavskýZhao TanSatyabrata SenPeng YangE. PaldiSandeep Gogineni
- Topics
- Direction-of-Arrival Estimation Techniques (148 papers)Radar Systems and Signal Processing (101 papers)Speech and Audio Processing (91 papers)
- Partner nations
- United StatesArgentinaIsrael
In The Last Decade
Arye Nehorai
437 papers receiving 16.8k citations
Hit Papers
Peers
Comparison fields: 5 of 187
- Signal Processing 8.1k
- Aerospace Engineering 6.5k
- Electrical and Electronic Engineering 4.9k
- Computational Mechanics 2.9k
- Biomedical Engineering 2.1k
Countries citing papers authored by Arye Nehorai
This map shows the geographic impact of Arye Nehorai'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 Arye Nehorai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arye Nehorai more than expected).
Fields of papers citing papers by Arye Nehorai
This network shows the impact of papers produced by Arye Nehorai. 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 Arye Nehorai. The network helps show where Arye Nehorai may publish in the future.
Co-authorship network of co-authors of Arye Nehorai
This figure shows the co-authorship network connecting the top 25 collaborators of Arye Nehorai. A scholar is included among the top collaborators of Arye Nehorai 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 Arye Nehorai. Arye Nehorai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 8 | |
| 3 | 22 | |
| 4 | 29 | |
| 5 | Fast Kernel Learning for Multidimensional Pattern Extrapolation | 42 |
| 6 | Joint Sparse Recovery Method for Compressed Sensing with Column-wise Mismatches | 2 |
| 7 | Sparse electromagnetic imaging | 3 |
| 8 | 10 | |
| 9 | 7 | |
| 10 | The $\ell_1$-Constrained Minimal Singular Value: a Computable Quantification of the Stability of Sparse Signal Reconstruction | 7 |
| 11 | 7 | |
| 12 | Exploiting multipath from airborne platforms for direction of arrival estimation | 4 |
| 13 | 17 | |
| 14 | 1 | |
| 15 | 3 | |
| 16 | Effect of perturbations in the geometry on the electroencephalography inverse problem | 2 |
| 17 | 36 | |
| 18 | 26 | |
| 19 | 3 | |
| 20 | 4 |
About Arye Nehorai
Arye Nehorai is a scholar working on Signal Processing, Aerospace Engineering and Computational Mechanics, having authored 457 papers that have together received 17.5k indexed citations. Recurring topics across this work include Direction-of-Arrival Estimation Techniques (148 papers), Radar Systems and Signal Processing (101 papers) and Speech and Audio Processing (91 papers). The work is most often cited by research in Signal Processing (8.1k citations), Aerospace Engineering (6.5k citations) and Computational Mechanics (2.9k citations). Arye Nehorai has collaborated with scholars based in United States, Argentina and Israel. Frequent co-authors include Petre Stoica, Carlos H. Muravchik, Petr Tichavský, Zhao Tan, Satyabrata Sen, Peng Yang, E. Paldi, Sandeep Gogineni, A. Dogandzic and Gongguo Tang. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Journal of Neuroscience.
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.