Samuel Gerber

775 total citations
23 papers, 469 citations indexed

About

Samuel Gerber is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Samuel Gerber has authored 23 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Samuel Gerber's work include Medical Image Segmentation Techniques (7 papers), Data Visualization and Analytics (4 papers) and Topological and Geometric Data Analysis (4 papers). Samuel Gerber is often cited by papers focused on Medical Image Segmentation Techniques (7 papers), Data Visualization and Analytics (4 papers) and Topological and Geometric Data Analysis (4 papers). Samuel Gerber collaborates with scholars based in United States and Austria. Samuel Gerber's co-authors include Ross Whitaker, Tolga Taşdizen, P. Thomas Fletcher, Valerio Pascucci, Peer‐Timo Bremer, Sarang Joshi, Kristin Potter, Arvind Agarwal, Hal Daumé and Ran Tao and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, Journal of Statistical Software and Journal of Machine Learning Research.

In The Last Decade

Samuel Gerber

22 papers receiving 455 citations

Peers

Samuel Gerber

CVPR

RNMI

CTM

BIOPH

Aasa Feragen Denmark

Stéphanie Allassonnière France

Liangjia Zhu United States

Shantanu Joshi United States

Sarang Joshi United States

Andrew Thall United States

Karl Sjöstrand Denmark

Amir Rosenfeld United States

Sebastian Kurtek United States

Dirk J. Lehmann Germany

Aasa Feragen Denmark

Samuel Gerber

161 ×0.8

CVPR

147 ×1.3

102 ×1.0

RNMI

45 ×0.6

CTM

15 ×0.4

BIOPH

Citations per year, relative to Samuel Gerber Samuel Gerber (= 1×) peers Aasa Feragen

Countries citing papers authored by Samuel Gerber

Since Specialization

Citations

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

Fields of papers citing papers by Samuel Gerber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel Gerber

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

All Works

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20 of 20 papers shown

Gerber, Samuel, Marc Niethammer, Joseph Piven, et al.. (2022). Optimal transport features for morphometric population analysis. Medical Image Analysis. 84. 102696–102696. 1 indexed citations

Horvath, Samantha, Jean‐Christophe Fillion‐Robin, Samuel Gerber, et al.. (2022). NousNav: A low-cost neuronavigation system for deployment in lower-resource settings. International Journal of Computer Assisted Radiology and Surgery. 17(9). 1745–1750. 9 indexed citations

Sahu, Pranjal, Samuel Gerber, Qingyu Zhao, et al.. (2022). Thin shell demons for dental scan registration. 1611. 99–99. 1 indexed citations

Gerber, Samuel, Marc Niethammer, Martin Styner, & Stephen Aylward. (2018). Exploratory Population Analysis with Unbalanced Optimal Transport. Lecture notes in computer science. 11072. 464–472. 2 indexed citations

Chittajallu, Deepak R., Sanghoon Lee, Samuel Gerber, et al.. (2018). Vectorized persistent homology representations for characterizing glandular architecture in histology images. 232–235. 5 indexed citations

Gerber, Samuel & Mauro Maggioni. (2017). Multiscale Strategies for Computing Optimal Transport. Journal of Machine Learning Research. 18(72). 1–32. 5 indexed citations

Gerber, Samuel, Matthew McCormick, Sean P. Montgomery, et al.. (2017). Automatic Estimation of the Optic Nerve Sheath Diameter from Ultrasound Images. Lecture notes in computer science. 10549. 113–120. 13 indexed citations

McKenna, Sean Andrew, et al.. (2015). s-CorrPlot: An Interactive Scatterplot for Exploring Correlation. Journal of Computational and Graphical Statistics. 25(2). 445–463. 43 indexed citations

Gerber, Samuel & Ross Whitaker. (2013). Regularization-free principal curve estimation. Journal of Machine Learning Research. 14(1). 1285–1302. 11 indexed citations

10.

Potter, Kristin, Samuel Gerber, & Erik Anderson. (2013). Visualization of Uncertainty without a Mean. IEEE Computer Graphics and Applications. 33(1). 75–79. 27 indexed citations

11.

Gerber, Samuel, Oliver Rübel, Peer‐Timo Bremer, Valerio Pascucci, & Ross Whitaker. (2012). Morse–Smale Regression. Journal of Computational and Graphical Statistics. 22(1). 193–214. 13 indexed citations

12.

Awate, Suyash P., et al.. (2011). Fast Shape-Based Nearest-Neighbor Search for Brain MRIs Using Hierarchical Feature Matching. Lecture notes in computer science. 14(Pt 2). 484–491. 5 indexed citations

13.

Agarwal, Arvind, Samuel Gerber, & Hal Daumé. (2010). Learning Multiple Tasks using Manifold Regularization. neural information processing systems. 23. 46–54. 42 indexed citations

14.

Gerber, Samuel, Tolga Taşdizen, P. Thomas Fletcher, Sarang Joshi, & Ross Whitaker. (2010). Manifold modeling for brain population analysis. Medical Image Analysis. 14(5). 643–653. 82 indexed citations

15.

Gerber, Samuel, Peer‐Timo Bremer, Valerio Pascucci, & Ross Whitaker. (2010). Visual Exploration of High Dimensional Scalar Functions. IEEE Transactions on Visualization and Computer Graphics. 16(6). 1271–1280. 66 indexed citations

16.

Gerber, Samuel, Tolga Taşdizen, Sarang Joshi, & Ross Whitaker. (2009). On the Manifold Structure of the Space of Brain Images. Lecture notes in computer science. 12(Pt 1). 305–312. 31 indexed citations

17.

Tao, Ran, P. Thomas Fletcher, Samuel Gerber, & Ross Whitaker. (2009). A Variational Image-Based Approach to the Correction of Susceptibility Artifacts in the Alignment of Diffusion Weighted and Structural MRI. Lecture notes in computer science. 21. 664–675. 52 indexed citations

18.

Gerber, Samuel, Tolga Taşdizen, & Ross Whitaker. (2009). Dimensionality reduction and principal surfaces via Kernel Map Manifolds. 529–536. 13 indexed citations

19.

Gerber, Samuel, Tolga Taşdizen, & Ross Whitaker. (2007). Robust non-linear dimensionality reduction using successive 1-dimensional Laplacian Eigenmaps. 281–288. 23 indexed citations

20.

Gerber, Samuel, et al.. (2000). An evaluation of the use of by-product phosphogypsum as a pavement material for roads. UpSpace Institutional Repository (University of Pretoria). 6 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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