M. Wax
- Signal Processing top 0.02%
- Aerospace Engineering top 0.2%
- Electrical and Electronic Engineering top 2%
- Computational Mechanics top 0.5%
- Oceanography top 1%
- Topics
- Direction-of-Arrival Estimation Techniques (52 papers)Speech and Audio Processing (44 papers)Blind Source Separation Techniques (28 papers)
- Journals
- IEEE Transactions on Automatic ControlIEEE Transactions on Information TheoryIEEE Transactions on Signal Processing
- Partner nations
- IsraelUnited StatesAustralia
In The Last Decade
M. Wax
81 papers receiving 7.2k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Signal Processing 6.1k
- Aerospace Engineering 2.5k
- Electrical and Electronic Engineering 2.2k
- Computational Mechanics 1.4k
- Oceanography 804
Countries citing papers authored by M. Wax
This map shows the geographic impact of M. Wax'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 M. Wax with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Wax more than expected).
Fields of papers citing papers by M. Wax
This network shows the impact of papers produced by M. Wax. 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 M. Wax. The network helps show where M. Wax may publish in the future.
Co-authorship network of co-authors of M. Wax
This figure shows the co-authorship network connecting the top 25 collaborators of M. Wax. A scholar is included among the top collaborators of M. Wax 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 M. Wax. M. Wax 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 | 2 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 23 | |
| 11 | 121 | |
| 12 | Model-based processing in sensor arrays | 11 |
| 13 | Detection and localization of multiple signals using subarrays data | 6 |
| 14 | 101 | |
| 15 | 183 | |
| 16 | Maximum likelihood localization of multiple sources by alternating projectionbreakdown → | 939 |
| 17 | 4 | |
| 18 | Determining the number of signals by information theoretic criteria | 8 |
| 19 | 151 | |
| 20 | 6 |
About M. Wax
M. Wax is a scholar working on Signal Processing, Computational Mechanics and Aerospace Engineering, having authored 86 papers that have together received 7.7k indexed citations. Recurring topics across this work include Direction-of-Arrival Estimation Techniques (52 papers), Speech and Audio Processing (44 papers) and Blind Source Separation Techniques (28 papers). The work is most often cited by research in Signal Processing (6.1k citations), Aerospace Engineering (2.5k citations) and Computational Mathematics (41 citations). M. Wax has collaborated with scholars based in Israel, United States and Australia. Frequent co-authors include T. Kailath, I. Ziskind, Tie-Jun Shan, J. Sheinvald, Amir Leshem, Amir Adler, Yingbo Hua, Ariel Jaffe, Israel Cohen and J. Rissanen. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Information Theory and IEEE Transactions on Signal Processing.
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.