Brian Potetz

472 total citations
13 papers, 269 citations indexed

About

Brian Potetz is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Brian Potetz has authored 13 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 5 papers in Cognitive Neuroscience and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Brian Potetz's work include Neural dynamics and brain function (5 papers), Visual perception and processing mechanisms (4 papers) and Advanced Vision and Imaging (3 papers). Brian Potetz is often cited by papers focused on Neural dynamics and brain function (5 papers), Visual perception and processing mechanisms (4 papers) and Advanced Vision and Imaging (3 papers). Brian Potetz collaborates with scholars based in United States. Brian Potetz's co-authors include Tai Sing Lee, Jason M. Samonds, Christopher W. Tyler, Yuguo Yu, Brenda J. Rongish, Rajprasad Loganathan, Charles D. Little and Jun Huan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Brian Potetz

13 papers receiving 262 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Brian Potetz United States 9 123 117 45 33 26 13 269
Harris Nover United States 5 144 1.2× 65 0.6× 43 1.0× 12 0.4× 7 0.3× 9 271
Michael P. Eckert United States 7 122 1.0× 290 2.5× 21 0.5× 31 0.9× 57 2.2× 16 439
Oscar Nestares United States 8 231 1.9× 211 1.8× 15 0.3× 20 0.6× 18 0.7× 27 498
Lowell Jacobson United States 11 233 1.9× 162 1.4× 84 1.9× 23 0.7× 37 1.4× 19 428
Kô Sakai Japan 12 319 2.6× 124 1.1× 77 1.7× 48 1.5× 56 2.2× 63 415
Swaminathan Gurumurthy United States 8 107 0.9× 178 1.5× 9 0.2× 93 2.8× 36 1.4× 13 357
Naomi Inoue Japan 9 85 0.7× 136 1.2× 18 0.4× 50 1.5× 5 0.2× 53 336
Dimitris Samaras United States 6 65 0.5× 159 1.4× 63 1.4× 5 0.2× 18 0.7× 14 315
Sourabh Niyogi United States 6 123 1.0× 153 1.3× 14 0.3× 85 2.6× 8 0.3× 12 356
Amelio Vázquez-Reina United States 8 52 0.4× 118 1.0× 26 0.6× 20 0.6× 3 0.1× 12 308

Countries citing papers authored by Brian Potetz

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Brian Potetz

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Potetz. A scholar is included among the top collaborators of Brian Potetz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Brian Potetz. Brian Potetz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Samonds, Jason M., Brian Potetz, & Tai Sing Lee. (2014). Sample Skewness as a Statistical Measurement of Neuronal Tuning Sharpness. Neural Computation. 26(5). 860–906. 8 indexed citations
2.
Samonds, Jason M., Brian Potetz, Christopher W. Tyler, & Tai Sing Lee. (2013). Recurrent Connectivity Can Account for the Dynamics of Disparity Processing in V1. Journal of Neuroscience. 33(7). 2934–2946. 17 indexed citations
3.
Loganathan, Rajprasad, Brian Potetz, Brenda J. Rongish, & Charles D. Little. (2012). Spatial Anisotropies and Temporal Fluctuations in Extracellular Matrix Network Texture during Early Embryogenesis. PLoS ONE. 7(5). e38266–e38266. 11 indexed citations
4.
Samonds, Jason M., Brian Potetz, & Tai Sing Lee. (2012). Relative luminance and binocular disparity preferences are correlated in macaque primary visual cortex, matching natural scene statistics. Proceedings of the National Academy of Sciences. 109(16). 6313–6318. 30 indexed citations
5.
Potetz, Brian, et al.. (2012). A hierarchical Bayesian model for pattern recognition. 25. 1–8. 1 indexed citations
6.
Potetz, Brian. (2011). Estimating the Bayes Point Using Linear Knapsack Problems. International Conference on Machine Learning. 257–264. 6 indexed citations
7.
Potetz, Brian, et al.. (2011). Bayesian Classifiers for Chemical Toxicity Prediction. 595–599. 3 indexed citations
8.
Samonds, Jason M., Brian Potetz, & Tai Sing Lee. (2009). Cooperative and Competitive Interactions Facilitate Stereo Computations in Macaque Primary Visual Cortex. Journal of Neuroscience. 29(50). 15780–15795. 24 indexed citations
9.
Potetz, Brian & Tai Sing Lee. (2008). Efficient belief propagation for higher-order cliques using linear constraint nodes. Computer Vision and Image Understanding. 112(1). 39–54. 35 indexed citations
10.
Potetz, Brian. (2007). Efficient Belief Propagation for Vision Using Linear Constraint Nodes. 1–8. 45 indexed citations
11.
Potetz, Brian, et al.. (2005). Scaling Laws in Natural Scenes and the Inference of 3D Shape. 1089–1096. 13 indexed citations
12.
Yu, Yuguo, Brian Potetz, & Tai Sing Lee. (2004). The role of spiking nonlinearity in contrast gain control and information transmission. Vision Research. 45(5). 583–592. 13 indexed citations
13.
Potetz, Brian & Tai Sing Lee. (2003). Statistical correlations between two-dimensional images and three-dimensional structures in natural scenes. Journal of the Optical Society of America A. 20(7). 1292–1292. 63 indexed citations

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.

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