Peter Santago

1.1k total citations
35 papers, 773 citations indexed

About

Peter Santago is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Peter Santago has authored 35 papers receiving a total of 773 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 12 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Artificial Intelligence. Recurrent topics in Peter Santago's work include Medical Image Segmentation Techniques (8 papers), Ultrasound Imaging and Elastography (5 papers) and Advanced Data Compression Techniques (5 papers). Peter Santago is often cited by papers focused on Medical Image Segmentation Techniques (8 papers), Ultrasound Imaging and Elastography (5 papers) and Advanced Data Compression Techniques (5 papers). Peter Santago collaborates with scholars based in United States and United Kingdom. Peter Santago's co-authors include H. Donald Gage, W. T. Sobol, John R. Crouse, Nolan Karstaedt, Stephan Rössner, William H. Hinson, David M. Herrington, Craig A. Hamilton, Sarah A. Rajala and P. R. Moran and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Journal on Selected Areas in Communications and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Peter Santago

31 papers receiving 728 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Santago United States 15 238 211 159 142 88 35 773
Giuseppe Coppini Italy 17 322 1.4× 292 1.4× 190 1.2× 61 0.4× 227 2.6× 51 899
Dana Cobzaş Canada 17 243 1.0× 347 1.6× 55 0.3× 202 1.4× 54 0.6× 54 943
B. J. Shepstone United Kingdom 19 383 1.6× 99 0.5× 186 1.2× 241 1.7× 181 2.1× 47 1.5k
William J. Ohley United States 14 179 0.8× 221 1.0× 116 0.7× 24 0.2× 135 1.5× 42 990
Theresa Tuthill United States 12 257 1.1× 50 0.2× 97 0.6× 109 0.8× 29 0.3× 21 671
J. M. R. Cardoso Portugal 14 182 0.8× 65 0.3× 303 1.9× 154 1.1× 59 0.7× 79 1.0k
Alex Elliott United Kingdom 18 817 3.4× 167 0.8× 240 1.5× 64 0.5× 31 0.4× 87 1.3k
Hongzhi Xie China 18 177 0.7× 101 0.5× 135 0.8× 75 0.5× 49 0.6× 80 1.0k
Zhiming Zhou China 20 263 1.1× 83 0.4× 160 1.0× 91 0.6× 43 0.5× 90 1.1k
Shuo Zhang China 19 184 0.8× 115 0.5× 327 2.1× 136 1.0× 181 2.1× 111 1.5k

Countries citing papers authored by Peter Santago

Since Specialization
Citations

This map shows the geographic impact of Peter Santago'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 Peter Santago with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Santago more than expected).

Fields of papers citing papers by Peter Santago

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Santago. 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 Peter Santago. The network helps show where Peter Santago may publish in the future.

Co-authorship network of co-authors of Peter Santago

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Santago. A scholar is included among the top collaborators of Peter Santago 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 Peter Santago. Peter Santago is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Santago, Peter, et al.. (2012). Bootstrap Aggregating of Alternating Decision Trees to Detect Sets of SNPs That Associate With Disease. Genetic Epidemiology. 36(2). 99–106. 18 indexed citations
2.
Cong, Alexander, Wenxiang Cong, Yujie Lu, et al.. (2010). Differential Evolution Approach for Regularized Bioluminescence Tomography. IEEE Transactions on Biomedical Engineering. 57(9). 2229–2238. 23 indexed citations
3.
Bayram, Ersin, Huan Tan, Stacy T. Knutson, et al.. (2005). Chemical and Structural Diversity in Cyclooxygenase Protein Active Sites. Chemistry & Biodiversity. 2(11). 1533–1552. 18 indexed citations
4.
Pineau, Benoit C., et al.. (2005). Efficient Computerized Polyp Detection for CT Colonography. Journal of Digital Imaging. 18(1). 55–65. 2 indexed citations
5.
Li, Hong & Peter Santago. (2005). Automatic Colon Segmentation with Dual Scan CT Colonography. Journal of Digital Imaging. 18(1). 42–54. 17 indexed citations
6.
Xiao, Yun-De, et al.. (2005). Supervised Self-Organizing Maps in Drug Discovery. 1. Robust Behavior with Overdetermined Data Sets. Journal of Chemical Information and Modeling. 45(6). 1749–1758. 29 indexed citations
7.
Bayram, Ersin, et al.. (2004). Genetic algorithms and self-organizing maps: a powerful combination for modeling complex QSAR and QSPR problems. Journal of Computer-Aided Molecular Design. 18(7-9). 483–493. 14 indexed citations
8.
Herrington, David M., et al.. (2003). Semi-automated boundary detection for intravascular ultrasound. 103–106. 18 indexed citations
9.
10.
Santago, Peter, et al.. (2000). Ultrasound measurement of brachial flow-mediated vasodilator response. IEEE Transactions on Medical Imaging. 19(6). 621–631. 20 indexed citations
11.
Bastings, E., H. Donald Gage, Jason Greenberg, et al.. (1998). Co-registration of cortical magnetic stimulation and functional magnetic resonance imaging. Neuroreport. 9(9). 1941–1946. 31 indexed citations
12.
Santago, Peter & H. Donald Gage. (1995). Statistical models of partial volume effect. IEEE Transactions on Image Processing. 4(11). 1531–1540. 79 indexed citations
13.
Hamilton, Craig A., P. R. Moran, Peter Santago, & Sarah A. Rajala. (1994). Effects of intravoxel velocity distributions on the accuracy of the phase‐mapping method in phase‐contrast MR angiography. Journal of Magnetic Resonance Imaging. 4(5). 752–755. 47 indexed citations
14.
Symonds, Michael, et al.. (1994). <title>Reconstruction of positron emission tomography images using maximum a posteriori and mean field annealing techniques</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2163. 212–222. 3 indexed citations
15.
Santago, Peter & H. Donald Gage. (1993). Quantification of MR brain images by mixture density and partial volume modeling. IEEE Transactions on Medical Imaging. 12(3). 566–574. 111 indexed citations
16.
Hamilton, Craig A. & Peter Santago. (1991). Quantization improvement in MRI using dual quantizers. IEEE Transactions on Medical Imaging. 10(3). 387–394. 1 indexed citations
17.
Rössner, Stephan, William H. Hinson, Nolan Karstaedt, et al.. (1990). Adipose tissue determinations in cadavers--a comparison between cross-sectional planimetry and computed tomography.. PubMed. 14(10). 893–902. 191 indexed citations
18.
Santago, Peter, et al.. (1990). <title>Study of the effects of quantization noise on magnetic resonance image quality</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1232. 71–86. 4 indexed citations
19.
Santago, Peter. (1986). A composite model and convex set coding technique for time-varying images. NCSU Libraries Repository (North Carolina State University Libraries). 2 indexed citations
20.
Santago, Peter & Sarah A. Rajala. (1984). The use of time domain information to improve transform coding. NCSU Libraries Repository (North Carolina State University Libraries). 1 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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