Justin Romberg
- Computational Mechanics top 0.01%
- Biomedical Engineering top 0.2%
- Computer Vision and Pattern Recognition top 0.2%
- Electrical and Electronic Engineering top 1%
- Signal Processing top 0.1%
- Co-authors
- Emmanuel J. CandèsTerence TaoJoel A. TroppRichard G. BaraniukMarco F. DuarteJason N. LaskaM. Salman AsifHolger Rauhut
- Topics
- Sparse and Compressive Sensing Techniques (32 papers)Image and Signal Denoising Methods (11 papers)Microwave Imaging and Scattering Analysis (11 papers)
- Journals
- Proceedings of the IEEEIEEE Transactions on Information TheoryIEEE Transactions on Signal Processing
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Justin Romberg
36 papers receiving 14.1k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Computational Mechanics 10.6k
- Biomedical Engineering 5.8k
- Computer Vision and Pattern Recognition 3.6k
- Electrical and Electronic Engineering 3.0k
- Signal Processing 3.0k
Countries citing papers authored by Justin Romberg
This map shows the geographic impact of Justin Romberg'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 Justin Romberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Justin Romberg more than expected).
Fields of papers citing papers by Justin Romberg
This network shows the impact of papers produced by Justin Romberg. 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 Justin Romberg. The network helps show where Justin Romberg may publish in the future.
Co-authorship network of co-authors of Justin Romberg
This figure shows the co-authorship network connecting the top 25 collaborators of Justin Romberg. A scholar is included among the top collaborators of Justin Romberg 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 Justin Romberg. Justin Romberg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 8 | |
| 3 | 1 | |
| 4 | 40 | |
| 5 | 3 | |
| 6 | 85 | |
| 7 | Beyond Nyquist: Efficient Sampling of Sparse Bandlimited Signalsbreakdown → | 724 |
| 8 | 20 | |
| 9 | 27 | |
| 10 | 6 | |
| 11 | 11 | |
| 12 | 11 | |
| 13 | 37 | |
| 14 | 25 | |
| 15 | 2 | |
| 16 | Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency informationbreakdown → | 10551 |
| 17 | 31 | |
| 18 | 9 | |
| 19 | 213 | |
| 20 | 1 |
About Justin Romberg
Justin Romberg is a scholar working on Computational Mechanics, Signal Processing and Computer Vision and Pattern Recognition, having authored 37 papers that have together received 14.9k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (32 papers), Image and Signal Denoising Methods (11 papers) and Microwave Imaging and Scattering Analysis (11 papers). The work is most often cited by research in Acoustics and Ultrasonics (567 citations), Computational Mechanics (10.6k citations) and Signal Processing (3.0k citations). Justin Romberg has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Emmanuel J. Candès, Terence Tao, Joel A. Tropp, Richard G. Baraniuk, Marco F. Duarte, Jason N. Laska, M. Salman Asif, Holger Rauhut, Jordan Gray and Ryan Robucci. Their work appears in journals such as Proceedings of the IEEE, 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.