Moshe Mishali

7.0k total citations · 4 hit papers
39 papers, 4.7k citations indexed

About

Moshe Mishali is a scholar working on Computational Mechanics, Signal Processing and Biomedical Engineering. According to data from OpenAlex, Moshe Mishali has authored 39 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computational Mechanics, 12 papers in Signal Processing and 9 papers in Biomedical Engineering. Recurrent topics in Moshe Mishali's work include Sparse and Compressive Sensing Techniques (18 papers), Blind Source Separation Techniques (10 papers) and Image and Signal Denoising Methods (8 papers). Moshe Mishali is often cited by papers focused on Sparse and Compressive Sensing Techniques (18 papers), Blind Source Separation Techniques (10 papers) and Image and Signal Denoising Methods (8 papers). Moshe Mishali collaborates with scholars based in Israel, United States and Germany. Moshe Mishali's co-authors include Yonina C. Eldar, Arvind Ganesh, Jarvis Haupt, José Antonio Urigüen, Andrea Montanari, Weiyu Xu, Robert Calderbank, Thomas Blumensath, Gitta Kutyniok and Alexey Castrodad and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing and Computers in Human Behavior.

In The Last Decade

Moshe Mishali

38 papers receiving 4.5k citations

Hit Papers

Compressed Sensing 2009 2026 2014 2020 2012 2010 2009 2009 250 500 750 1000

Peers

Moshe Mishali
Comparison fields: 5 of 129
  • Computational Mechanics 3.3k
  • Signal Processing 1.6k
  • Biomedical Engineering 1.5k
  • Electrical and Electronic Engineering 1.1k
  • Computer Vision and Pattern Recognition 893
Replace Jason N. Laska with:
Jason N. Laska United States
Holger Rauhut Germany
Jarvis Haupt United States
Thomas Blumensath United Kingdom
Mark A. Davenport United States
Deanna Needell United States
Arian Maleki United States
Weiyu Xu United States
Petros T. Boufounos United States
Waheed U. Bajwa United States
Jason N. Laska United States View profile →
Citations per field, relative to Moshe Mishali
Moshe Mishali · 1×
Citations per year, relative to Moshe Mishali
Moshe Mishali · 1×

Countries citing papers authored by Moshe Mishali

Since Specialization
Citations

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

Fields of papers citing papers by Moshe Mishali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Moshe Mishali

This figure shows the co-authorship network connecting the top 25 collaborators of Moshe Mishali. A scholar is included among the top collaborators of Moshe Mishali 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 Moshe Mishali. Moshe Mishali is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 2
3 6
4 8
5 1
6 121
7 3
8 6
9
Compressed Sensing breakdown →
1142
10 150
11 179
12 18
13 103
14
From Theory to Practice: Sub-Nyquist Sampling of Sparse Wideband Analog Signals breakdown →
802
15 28
16
Xampling--Part I: Practice
11
17 4
18
The ReMBo algorithm: Accelerated recovery of jointly sparse vectors
2
19 46
20 12

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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