Brian Potetz
Impact in
- Cognitive Neuroscience top 10%
- Visual perception and processing mechanisms
- Neural dynamics and brain function
-
- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
- Image Enhancement Techniques
- Medical Image Segmentation Techniques
Papers in
-
- Advanced Vision and Imaging 3
- Advanced Image and Video Retrieval Techniques 2
- Optical measurement and interference techniques 2
- Advanced Neural Network Applications 1
-
- Neural dynamics and brain function 5
- Visual perception and processing mechanisms 4
- Co-authors
- Tai Sing Lee (7 shared papers)Jason M. Samonds (4 shared papers)Yuguo Yu (1 shared paper)Christopher W. Tyler (1 shared paper)Brenda J. Rongish (1 shared paper)Rajprasad Loganathan (1 shared paper)Charles D. Little (1 shared paper)Jun Huan (1 shared paper)
- Journals
- Journal of Neuroscience (2 papers)Computer Vision and Image Understanding (1 paper)Neural Computation (1 paper)Journal of the Optical Society of America A (1 paper)Vision Research (1 paper)
- Partner nations
- United States
In The Last Decade
Brian Potetz
13 papers receiving 262 citations
Peers
Comparison fields: 5 of 63
- Cognitive Neuroscience 123
- Computer Vision and Pattern Recognition 117
- Computer Graphics and Computer-Aided Design 16
- Cellular and Molecular Neuroscience 45
- Media Technology 20
Countries citing papers authored by Brian Potetz
This map shows the geographic impact of Brian Potetz'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 Brian Potetz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Potetz more than expected).
Fields of papers citing papers by Brian Potetz
This network shows the impact of papers produced by Brian Potetz. 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 Brian Potetz. The network helps show where Brian Potetz may publish in the future.
Co-authors
The 8 scholars most cited alongside Brian Potetz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 63 | |
| 2 | 2007 | 45 | |
| 3 | 2008 | 35 | |
| 4 | 2012 | 30 | |
| 5 | 2009 | 24 | |
| 6 | 2013 | 17 | |
| 7 | 2004 | 13 | |
| 8 | Scaling Laws in Natural Scenes and the Inference of 3D Shape | 2005 | 13 |
| 9 | 2012 | 11 | |
| 10 | 2014 | 8 | |
| 11 | Estimating the Bayes Point Using Linear Knapsack Problems | 2011 | 6 |
| 12 | 2011 | 3 | |
| 13 | 2012 | 1 |
About Brian Potetz
Brian Potetz is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Artificial Intelligence and Control and Systems Engineering, having authored 13 papers that have together received 269 indexed citations. Recurring topics across this work include Neural dynamics and brain function (5 papers), Visual perception and processing mechanisms (4 papers), Neurobiology and Insect Physiology Research (3 papers), Advanced Vision and Imaging (3 papers), Advanced Image and Video Retrieval Techniques (2 papers), Optical measurement and interference techniques (2 papers), Machine Learning and ELM (1 paper) and Advanced Neural Network Applications (1 paper). The work is most often cited by research in Cognitive Neuroscience (123 citations), Computer Vision and Pattern Recognition (117 citations), Computer Graphics and Computer-Aided Design (16 citations), Cellular and Molecular Neuroscience (45 citations) and Media Technology (20 citations). Brian Potetz has collaborated with scholars based in United States. Frequent co-authors include Tai Sing Lee, Jason M. Samonds, Yuguo Yu, Christopher W. Tyler, Brenda J. Rongish, Rajprasad Loganathan, Charles D. Little and Jun Huan. Their work appears in journals such as Journal of Neuroscience, Computer Vision and Image Understanding, Neural Computation, Journal of the Optical Society of America A and Vision Research.
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.