Eero P. Simoncelli
Impact in
- Computer Vision and Pattern Recognition top 0.01%
- Image and Signal Denoising Methods
- Advanced Image Processing Techniques
- Image and Video Quality Assessment
- Image Enhancement Techniques
- Advanced Vision and Imaging
- Media Technology top 0.01%
- Advanced Image Fusion Techniques
Papers in
-
- Neural dynamics and brain function 80
- Visual perception and processing mechanisms 77
-
- Image and Signal Denoising Methods 62
- Advanced Image Processing Techniques 14
- Image and Video Quality Assessment 14
- Co-authors
- Zhou Wang (14 shared papers)Alan C. Bovik (4 shared papers)Hamid R. Sheikh (3 shared papers)Edward H. Adelson (11 shared papers)Bruno A. Olshausen (1 shared paper)David J. Heeger (7 shared papers)Martin J. Wainwright (8 shared papers)William T. Freeman (4 shared papers)
- Journals
- Journal of Vision (29 papers)Nature Neuroscience (12 papers)IEEE Transactions on Image Processing (9 papers)Neural Computation (6 papers)Journal of Neuroscience (5 papers)
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Eero P. Simoncelli
193 papers receiving 61.0k citations
Eero P. Simoncelli's Hit Papers
Peers
Comparison fields: 5 of 206
- Computer Vision and Pattern Recognition 41.0k
- Media Technology 16.8k
- Cognitive Neuroscience 11.1k
- Computer Graphics and Computer-Aided Design 1.9k
- Signal Processing 4.8k
Countries citing papers authored by Eero P. Simoncelli
This map shows the geographic impact of Eero P. Simoncelli'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 Eero P. Simoncelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eero P. Simoncelli more than expected).
Fields of papers citing papers by Eero P. Simoncelli
This network shows the impact of papers produced by Eero P. Simoncelli. 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 Eero P. Simoncelli. The network helps show where Eero P. Simoncelli may publish in the future.
Co-authors
The 25 scholars most cited alongside Eero P. Simoncelli, 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 204 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Image quality assessment: from error visibility to structural similarity Hit paper breakdown → | 2004 | 37926 |
| 2 | Multiscale structural similarity for image quality assessment Hit paper breakdown → | 2004 | 3997 |
| 3 | Image denoising using scale mixtures of gaussians in the wavelet domain Hit paper breakdown → | 2003 | 1624 |
| 4 | Natural Image Statistics and Neural Representation Hit paper breakdown → | 2001 | 1616 |
| 5 | Shiftable multiscale transforms Hit paper breakdown → | 1992 | 965 |
| 6 | Spatio-temporal correlations and visual signalling in a complete neuronal population Hit paper breakdown → | 2008 | 872 |
| 7 | The steerable pyramid: a flexible architecture for multi-scale derivative computation Hit paper breakdown → | 2002 | 737 |
| 8 | Motion illusions as optimal percepts Hit paper breakdown → | 2002 | 718 |
| 9 | Image Quality Assessment: From Error Measurement to Structural Similarity Hit paper breakdown → | 2004 | 686 |
| 10 | A model of neuronal responses in visual area MT Hit paper breakdown → | 1998 | 667 |
| 11 | Natural signal statistics and sensory gain control Hit paper breakdown → | 2001 | 592 |
| 12 | Image Quality Assessment: Unifying Structure and Texture Similarity Hit paper breakdown → | 2020 | 562 |
| 13 | Noise characteristics and prior expectations in human visual speed perception Hit paper breakdown → | 2006 | 530 |
| 14 | 2011 | 446 | |
| 15 | 2011 | 408 | |
| 16 | Noise removal via Bayesian wavelet coring Hit paper breakdown → | 2002 | 400 |
| 17 | 2006 | 380 | |
| 18 | 1999 | 353 | |
| 19 | 2003 | 340 | |
| 20 | 2005 | 333 |
About Eero P. Simoncelli
Eero P. Simoncelli is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition, Media Technology, Cellular and Molecular Neuroscience and Signal Processing, having authored 204 papers that have together received 63.5k indexed citations. Recurring topics across this work include Neural dynamics and brain function (80 papers), Visual perception and processing mechanisms (77 papers), Image and Signal Denoising Methods (62 papers), Advanced Image Fusion Techniques (31 papers), Blind Source Separation Techniques (16 papers), Advanced Image Processing Techniques (14 papers), Image and Video Quality Assessment (14 papers) and Color Science and Applications (14 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (41.0k citations), Media Technology (16.8k citations), Cognitive Neuroscience (11.1k citations), Computer Graphics and Computer-Aided Design (1.9k citations) and Signal Processing (4.8k citations). Eero P. Simoncelli has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Zhou Wang, Alan C. Bovik, Hamid R. Sheikh, Edward H. Adelson, Bruno A. Olshausen, David J. Heeger, Martin J. Wainwright, William T. Freeman, Javier Portilla and Jonathan W. Pillow. Their work appears in journals such as Journal of Vision, Nature Neuroscience, IEEE Transactions on Image Processing, Neural Computation and Journal of Neuroscience.
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.