Dror Baron
- Acoustics and Ultrasonics top 1%
- Computational Mechanics top 0.2%
- Sparse and Compressive Sensing Techniques 41
- Signal Processing top 0.5%
- Blind Source Separation Techniques 18
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- Image and Signal Denoising Methods 9
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- Distributed Sensor Networks and Detection Algorithms 21
- Error Correcting Code Techniques 10
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- Algorithms and Data Compression 16
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- Microwave Imaging and Scattering Analysis 15
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- Metabolism and Genetic Disorders 10
- Co-authors
- Richard G. BaraniukShriram SarvothamMichael B. WakinMarco F. DuarteYaron RachlinJason N. LaskaDharmpal TakharKevin F. Kelly
- Journals
- IEEE Transactions on Signal Processing (11 papers)Journal of Clinical Pathology (8 papers)IEEE Transactions on Information Theory (8 papers)
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Dror Baron
148 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Acoustics and Ultrasonics 167
- Computational Mechanics 2.4k
- Signal Processing 820
- Computer Vision and Pattern Recognition 774
- Computer Networks and Communications 753
Countries citing papers authored by Dror Baron
This map shows the geographic impact of Dror Baron'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 Dror Baron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dror Baron more than expected).
Fields of papers citing papers by Dror Baron
This network shows the impact of papers produced by Dror Baron. 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 Dror Baron. The network helps show where Dror Baron may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dror Baron, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 3 | |
| 4 | 2019 | 25 | |
| 5 | 2019 | 11 | |
| 6 | 2019 | 6 | |
| 7 | Signal Recovery in Compressed Sensing via Universal Priors | 2012 | 5 |
| 8 | 2006 | 381 | |
| 9 | Analysis of the DCS one-stage Greedy Algorothm for Common Sparse Supports | 2005 | 1 |
| 10 | Recovery of Jointly Sparse Signals from Few Random Projections | 2005 | 48 |
| 11 | Compression of Higher Dimensional Functions Containing Smooth Discontinuities | 2004 | 5 |
| 12 | 1996 | 6 | |
| 13 | 1995 | 22 | |
| 14 | 1990 | 18 | |
| 15 | 1988 | 7 | |
| 16 | 1984 | 1 | |
| 17 | R.D. Laing: creative analyst or false prophet? | 1977 | 2 |
| 18 | 1960 | 14 | |
| 19 | 1957 | 5 | |
| 20 | 1951 | 1 |
About Dror Baron
Dror Baron is a scholar working on Signal Processing, Computational Mechanics and Clinical Biochemistry, having authored 154 papers that have together received 4.1k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (41 papers), Distributed Sensor Networks and Detection Algorithms (21 papers), Blind Source Separation Techniques (18 papers), Algorithms and Data Compression (16 papers), Microwave Imaging and Scattering Analysis (15 papers), Error Correcting Code Techniques (10 papers), Metabolism and Genetic Disorders (10 papers) and Image and Signal Denoising Methods (9 papers). The work is most often cited by research in Acoustics and Ultrasonics (167 citations), Computational Mechanics (2.4k citations) and Signal Processing (820 citations). Dror Baron has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Richard G. Baraniuk, Shriram Sarvotham, Michael B. Wakin, Marco F. Duarte, Yaron Rachlin, Jason N. Laska, Dharmpal Takhar, Kevin F. Kelly, Yanting Ma and Joel A. Tropp. Their work appears in journals such as IEEE Transactions on Signal Processing, Journal of Clinical Pathology, IEEE Transactions on Information Theory, Clinical Science and The Lancet.
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.