Samuel Gerber
Impact in
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- Medical Image Segmentation Techniques
- Data Visualization and Analytics
- Face and Expression Recognition
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- Topological and Geometric Data Analysis
Papers in
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- Data Visualization and Analytics 2
- Medical Image Segmentation Techniques 2
- Face and Expression Recognition 2
- Generative Adversarial Networks and Image Synthesis 1
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- Topological and Geometric Data Analysis 3
- Co-authors
- Ross Whitaker (9 shared papers)Tolga Taşdizen (4 shared papers)P. Thomas Fletcher (2 shared papers)Sarang C. Joshi (2 shared papers)Peer‐Timo Bremer (2 shared papers)Valerio Pascucci (2 shared papers)Kristin C. Potter (2 shared papers)Arvind K. Agarwal (1 shared paper)
- Journals
- Medical Image Analysis (2 papers)Journal of Computational and Graphical Statistics (2 papers)International Journal of Computer Assisted Radiology and Surgery (1 paper)Journal of Statistical Software (1 paper)IEEE Transactions on Biomedical Engineering (1 paper)
- Partner nations
- United StatesAustriaUnited Kingdom
In The Last Decade
Samuel Gerber
23 papers receiving 555 citations
Peers
Comparison fields: 5 of 56
- Computer Vision and Pattern Recognition 136
- Computational Theory and Mathematics 59
- Computational Mathematics 2
- Psychiatry and Mental health 30
- Radiology, Nuclear Medicine and Imaging 30
Countries citing papers authored by Samuel Gerber
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
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-authors
The 25 scholars most cited alongside Samuel Gerber, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 99 | |
| 2 | 2010 | 78 | |
| 3 | 2009 | 54 | |
| 4 | 2015 | 48 | |
| 5 | Learning Multiple Tasks using Manifold Regularization | 2010 | 47 |
| 6 | 2009 | 39 | |
| 7 | 2013 | 31 | |
| 8 | 2007 | 29 | |
| 9 | 2012 | 15 | |
| 10 | 2017 | 15 | |
| 11 | 2012 | 14 | |
| 12 | 2009 | 13 | |
| 13 | 2019 | 13 | |
| 14 | 2019 | 12 | |
| 15 | 2022 | 12 | |
| 16 | Regularization-free principal curve estimation | 2013 | 11 |
| 17 | 2018 | 8 | |
| 18 | 2020 | 7 | |
| 19 | 2018 | 6 | |
| 20 | 2011 | 5 |
About Samuel Gerber
Samuel Gerber is a scholar working on Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Biophysics, Statistics and Probability and Radiology, Nuclear Medicine and Imaging, having authored 25 papers that have together received 564 indexed citations. Recurring topics across this work include Topological and Geometric Data Analysis (3 papers), Data Visualization and Analytics (2 papers), Medical Image Segmentation Techniques (2 papers), Face and Expression Recognition (2 papers), Generative Adversarial Networks and Image Synthesis (1 paper), Statistical Methods and Applications (1 paper), Domain Adaptation and Few-Shot Learning (1 paper) and Advanced MRI Techniques and Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (136 citations), Computational Theory and Mathematics (59 citations), Computational Mathematics (2 citations), Psychiatry and Mental health (30 citations) and Radiology, Nuclear Medicine and Imaging (30 citations). Samuel Gerber has collaborated with scholars based in United States, Austria and United Kingdom. Frequent co-authors include Ross Whitaker, Tolga Taşdizen, P. Thomas Fletcher, Sarang C. Joshi, Peer‐Timo Bremer, Valerio Pascucci, Kristin C. Potter, Arvind K. Agarwal, Hal Daumé and Sean Andrew McKenna. Their work appears in journals such as Medical Image Analysis, Journal of Computational and Graphical Statistics, International Journal of Computer Assisted Radiology and Surgery, Journal of Statistical Software and IEEE Transactions on Biomedical Engineering.
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.