Samuel Gerber
Impact in
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- Medical Image Segmentation Techniques
- Data Visualization and Analytics
- Image Retrieval and Classification Techniques
Papers in
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- Medical Image Segmentation Techniques 7
- Data Visualization and Analytics 4
- Face and Expression Recognition 3
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- Gaussian Processes and Bayesian Inference 3
- Co-authors
- Ross Whitaker (9 shared papers)Tolga Taşdizen (4 shared papers)P. Thomas Fletcher (2 shared papers)Peer‐Timo Bremer (2 shared papers)Valerio Pascucci (2 shared papers)Sarang Joshi (1 shared paper)Kristin Potter (2 shared papers)Arvind Agarwal (1 shared paper)
- Journals
- Journal of Machine Learning Research (2 papers)Medical Image Analysis (2 papers)Journal of Computational and Graphical Statistics (2 papers)IEEE Transactions on Biomedical Engineering (1 paper)IEEE Transactions on Visualization and Computer Graphics (1 paper)
- Partner nations
- United StatesAustria
In The Last Decade
Samuel Gerber
22 papers receiving 455 citations
Peers
Comparison fields: 5 of 109
- Computer Vision and Pattern Recognition 201
- Computational Mathematics 5
- Biophysics 37
- Computational Theory and Mathematics 72
- Radiology, Nuclear Medicine and Imaging 104
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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 82 | |
| 2 | 2010 | 66 | |
| 3 | 2009 | 52 | |
| 4 | 2015 | 43 | |
| 5 | Learning Multiple Tasks using Manifold Regularization | 2010 | 42 |
| 6 | 2009 | 31 | |
| 7 | 2013 | 27 | |
| 8 | 2007 | 23 | |
| 9 | 2012 | 13 | |
| 10 | 2017 | 13 | |
| 11 | 2009 | 13 | |
| 12 | 2012 | 12 | |
| 13 | Regularization-free principal curve estimation | 2013 | 11 |
| 14 | 2022 | 9 | |
| 15 | An evaluation of the use of by-product phosphogypsum as a pavement material for roads | 2000 | 6 |
| 16 | 2018 | 6 | |
| 17 | Multiscale Strategies for Computing Optimal Transport | 2017 | 5 |
| 18 | 2011 | 5 | |
| 19 | 2018 | 5 | |
| 20 | 2018 | 2 |
About Samuel Gerber
Samuel Gerber is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Computational Theory and Mathematics and Biophysics, having authored 23 papers that have together received 469 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (7 papers), Topological and Geometric Data Analysis (4 papers), Data Visualization and Analytics (4 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Face and Expression Recognition (3 papers), Medical Imaging Techniques and Applications (3 papers), Cell Image Analysis Techniques (3 papers) and Gaussian Processes and Bayesian Inference (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (201 citations), Computational Mathematics (5 citations), Biophysics (37 citations), Computational Theory and Mathematics (72 citations) and Radiology, Nuclear Medicine and Imaging (104 citations). Samuel Gerber has collaborated with scholars based in United States and Austria. Frequent co-authors include Ross Whitaker, Tolga Taşdizen, P. Thomas Fletcher, Peer‐Timo Bremer, Valerio Pascucci, Sarang Joshi, Kristin Potter, Arvind Agarwal, Hal Daumé and Ran Tao. Their work appears in journals such as Journal of Machine Learning Research, Medical Image Analysis, Journal of Computational and Graphical Statistics, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Visualization and Computer Graphics.
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.