Eric Price
Impact in
- Computational Mathematics top 10%
- Signal Processing top 5%
- Blind Source Separation Techniques
Papers in
-
- Sparse and Compressive Sensing Techniques 27
-
- Machine Learning and Algorithms 10
- Algorithms and Data Compression 4
- Machine Learning and Data Classification 4
- Co-authors
- Piotr Indyk (10 shared papers)Dina Katabi (3 shared papers)Haitham Hassanieh (3 shared papers)David P. Woodruff (6 shared papers)Alexandros G. Dimakis (4 shared papers)Ashish Bora (2 shared papers)Moritz Hardt (2 shared papers)Ajil Jalal (4 shared papers)
- Journals
- IEEE Robotics and Automation Letters (2 papers)Algorithmica (1 paper)Methods in Ecology and Evolution (1 paper)Information and Inference A Journal of the IMA (1 paper)SIAM Journal on Computing (1 paper)
- Partner nations
- United StatesGermanySingapore
In The Last Decade
Eric Price
56 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 87
- Computational Mathematics 15
- Signal Processing 274
- Computational Mechanics 467
- Computer Vision and Pattern Recognition 375
- Artificial Intelligence 294
Countries citing papers authored by Eric Price
This map shows the geographic impact of Eric Price'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 Eric Price with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Price more than expected).
Fields of papers citing papers by Eric Price
This network shows the impact of papers produced by Eric Price. 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 Eric Price. The network helps show where Eric Price may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Price, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 186 | |
| 2 | 2012 | 173 | |
| 3 | 2017 | 101 | |
| 4 | 2010 | 69 | |
| 5 | 2007 | 63 | |
| 6 | 2013 | 50 | |
| 7 | AmbientGAN: Generative models from lossy measurements | 2018 | 46 |
| 8 | 2013 | 34 | |
| 9 | 2015 | 32 | |
| 10 | 2011 | 32 | |
| 11 | 2013 | 29 | |
| 12 | 2019 | 27 | |
| 13 | 2011 | 22 | |
| 14 | 2012 | 21 | |
| 15 | 2011 | 21 | |
| 16 | 2022 | 20 | |
| 17 | 2015 | 19 | |
| 18 | 2014 | 17 | |
| 19 | 2019 | 11 | |
| 20 | 2015 | 10 |
About Eric Price
Eric Price is a scholar working on Computational Mechanics, Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications and Signal Processing, having authored 59 papers that have together received 1.1k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (27 papers), Machine Learning and Algorithms (10 papers), Image and Signal Denoising Methods (9 papers), Blind Source Separation Techniques (5 papers), Microwave Imaging and Scattering Analysis (5 papers), Algorithms and Data Compression (4 papers), Machine Learning and Data Classification (4 papers) and Complexity and Algorithms in Graphs (4 papers). The work is most often cited by research in Computational Mathematics (15 citations), Signal Processing (274 citations), Computational Mechanics (467 citations), Computer Vision and Pattern Recognition (375 citations) and Artificial Intelligence (294 citations). Eric Price has collaborated with scholars based in United States, Germany and Singapore. Frequent co-authors include Piotr Indyk, Dina Katabi, Haitham Hassanieh, David P. Woodruff, Alexandros G. Dimakis, Ashish Bora, Moritz Hardt, Ajil Jalal, Khanh Do Ba and Peter Stone. Their work appears in journals such as IEEE Robotics and Automation Letters, Algorithmica, Methods in Ecology and Evolution, Information and Inference A Journal of the IMA and SIAM Journal on Computing.
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.