Daniel Ruderman
Impact in
- Cognitive Neuroscience top 1%
- Visual perception and processing mechanisms
- Spectroscopy top 0.5%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
Papers in
-
- Visual perception and processing mechanisms 18
- Neural dynamics and brain function 3
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- AI in cancer detection 6
- Neural Networks and Applications 3
- 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 (10 shared papers)Kevin A. Archie (4 shared papers)Bartlett W. Mel (4 shared papers)Andre Esteva (1 shared paper)
- Journals
- Scientific Reports (3 papers)Network Computation in Neural Systems (2 papers)Journal of the Optical Society of America A (2 papers)Journal of Thoracic Oncology (2 papers)Physical Review Letters (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Daniel Ruderman
43 papers receiving 6.5k citations
Daniel Ruderman's Hit Papers
Peers
Comparison fields: 5 of 171
- Cognitive Neuroscience 1.3k
- Spectroscopy 893
- Computer Vision and Pattern Recognition 1.3k
- Computer Graphics and Computer-Aided Design 99
- Molecular Biology 1.3k
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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A cross-platform toolkit for mass spectrometry and proteomics Hit paper breakdown → | 2012 | 3129 |
| 2 | The statistics of natural images Hit paper breakdown → | 1994 | 773 |
| 3 | 1994 | 742 | |
| 4 | 1998 | 560 | |
| 5 | 1998 | 307 | |
| 6 | 1997 | 260 | |
| 7 | 2020 | 201 | |
| 8 | 1998 | 113 | |
| 9 | 2020 | 80 | |
| 10 | 2008 | 61 | |
| 11 | 2012 | 56 | |
| 12 | Learning Lie Groups for Invariant Visual Perception | 1998 | 50 |
| 13 | 1998 | 45 | |
| 14 | 2007 | 45 | |
| 15 | 2008 | 44 | |
| 16 | 2018 | 31 | |
| 17 | Optimal Sampling of Natural Images: A Design Principle for the Visual System | 1990 | 26 |
| 18 | 1994 | 26 | |
| 19 | 2000 | 22 | |
| 20 | 2018 | 22 |
About Daniel Ruderman
Daniel Ruderman is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Biophysics, Spectroscopy and Pulmonary and Respiratory Medicine, having authored 43 papers that have together received 6.8k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (18 papers), AI in cancer detection (6 papers), Advanced Proteomics Techniques and Applications (4 papers), Prostate Cancer Treatment and Research (3 papers), Neural Networks and Applications (3 papers), Image Retrieval and Classification Techniques (3 papers), Neural dynamics and brain function (3 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Cognitive Neuroscience (1.3k citations), Spectroscopy (893 citations), Computer Vision and Pattern Recognition (1.3k citations), Computer Graphics and Computer-Aided Design (99 citations) and Molecular Biology (1.3k 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, Kevin A. Archie, Bartlett W. Mel, Andre Esteva, Rajesh P. N. Rao and Richard Socher. Their work appears in journals such as Scientific Reports, Network Computation in Neural Systems, Journal of the Optical Society of America A, Journal of Thoracic Oncology and Physical Review Letters.
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.