Samuel Gerber

21 papers and 406 indexed citations i.

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 21 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 6 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, Austria and Brazil. Samuel Gerber's co-authors include Ross Whitaker, Tolga Taşdizen, P. Thomas Fletcher, Sarang Joshi, Valerio Pascucci, Peer‐Timo Bremer, Ran Tao, Kristin Potter, Hal Daumé and Arvind Agarwal 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

Co-authorship network of co-authors of Samuel Gerber i

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.

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).

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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