Sam Gross

About

Sam Gross is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Sam Gross has authored 7 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Sam Gross’s work include COVID-19 diagnosis using AI (2 papers), Advanced Neural Network Applications (2 papers) and Topic Modeling (2 papers). Sam Gross is often cited by papers focused on COVID-19 diagnosis using AI (2 papers), Advanced Neural Network Applications (2 papers) and Topic Modeling (2 papers). Sam Gross collaborates with scholars based in Israel and United States. Sam Gross's co-authors include Myle Ott, Michael Auli, Nathan Ng, Angela Fan, David Grangier, Alexei Baevski, Sergey Edunov, Thomas Colthurst, Pegah Tootoonchi Afshar and Ryan Poplin and has published in prestigious journals such as Nature Biotechnology, arXiv (Cornell University) and International Conference on Machine Learning.

In The Last Decade

Co-authorship network of co-authors of Sam Gross i

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Fields of papers citing papers by Sam Gross

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sam Gross

Since Specialization

Citations

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