Daniel Ruderman
Impact in
- Cognitive Neuroscience top 1%
- Visual perception and processing mechanisms
- Neural dynamics and brain function
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- Image and Video Quality Assessment
- Image Enhancement Techniques
- Image and Signal Denoising Methods
- Advanced Vision and Imaging
Papers in
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- Neural dynamics and brain function 13
- Visual perception and processing mechanisms 12
- Co-authors
- William Bialek (4 shared papers)Thomas W. Cronin (3 shared papers)Chuan‐Chin Chiao (1 shared paper)J. H. van Hateren (1 shared paper)David B. Agus (11 shared papers)Bartlett W. Mel (3 shared papers)Kevin A. Archie (3 shared papers)Michael F. Press (1 shared paper)
- Journals
- Network Computation in Neural Systems (4 papers)Journal of the Optical Society of America A (3 papers)Scientific Reports (3 papers)Cancer Research (2 papers)Journal of Thoracic Oncology (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Daniel Ruderman
44 papers receiving 3.3k citations
Daniel Ruderman's Hit Papers
Peers
Comparison fields: 5 of 147
- Cognitive Neuroscience 1.3k
- Computer Vision and Pattern Recognition 1.5k
- Media Technology 563
- Biophysics 192
- Signal Processing 228
Countries citing papers authored by Daniel Ruderman
This map shows the geographic impact of Daniel Ruderman'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 Daniel Ruderman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Ruderman more than expected).
Fields of papers citing papers by Daniel Ruderman
This network shows the impact of papers produced by Daniel Ruderman. 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 Daniel Ruderman. The network helps show where Daniel Ruderman may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Ruderman, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Statistics of natural images: Scaling in the woods Hit paper breakdown → | 1994 | 667 |
| 2 | The statistics of natural images Hit paper breakdown → | 1994 | 646 |
| 3 | 1998 | 499 | |
| 4 | 1998 | 282 | |
| 5 | 1997 | 238 | |
| 6 | 1994 | 179 | |
| 7 | 2020 | 166 | |
| 8 | 1998 | 113 | |
| 9 | 2020 | 65 | |
| 10 | 2008 | 60 | |
| 11 | 2012 | 53 | |
| 12 | 2007 | 45 | |
| 13 | 1998 | 43 | |
| 14 | Learning Lie Groups for Invariant Visual Perception | 1998 | 41 |
| 15 | 2008 | 40 | |
| 16 | 1994 | 29 | |
| 17 | Optimal Sampling of Natural Images: A Design Principle for the Visual System | 1990 | 26 |
| 18 | 2018 | 26 | |
| 19 | 2018 | 22 | |
| 20 | 2019 | 21 |
About Daniel Ruderman
Daniel Ruderman is a scholar working on Cognitive Neuroscience, Molecular Biology, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biophysics, having authored 45 papers that have together received 3.5k indexed citations. Recurring topics across this work include Neural dynamics and brain function (13 papers), Visual perception and processing mechanisms (12 papers), Cell Image Analysis Techniques (7 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), AI in cancer detection (5 papers), Advanced Vision and Imaging (4 papers), Color Science and Applications (3 papers) and Advanced Fluorescence Microscopy Techniques (3 papers). The work is most often cited by research in Cognitive Neuroscience (1.3k citations), Computer Vision and Pattern Recognition (1.5k citations), Media Technology (563 citations), Biophysics (192 citations) and Signal Processing (228 citations). Daniel Ruderman has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include William Bialek, Thomas W. Cronin, Chuan‐Chin Chiao, J. H. van Hateren, David B. Agus, Bartlett W. Mel, Kevin A. Archie, Michael F. Press, Rajesh P. N. Rao and Andre Esteva. Their work appears in journals such as Network Computation in Neural Systems, Journal of the Optical Society of America A, Scientific Reports, Cancer Research and Journal of Thoracic Oncology.
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.