Travis Zack

27 papers and 3.2k indexed citations
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About

Travis Zack is a scholar working on Artificial Intelligence, Health Informatics and Molecular Biology. According to data from OpenAlex, Travis Zack has authored 27 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Health Informatics and 7 papers in Molecular Biology. Recurrent topics in Travis Zack’s work include Artificial Intelligence in Healthcare and Education (8 papers), Machine Learning in Healthcare (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Travis Zack is often cited by papers focused on Artificial Intelligence in Healthcare and Education (8 papers), Machine Learning in Healthcare (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Travis Zack collaborates with scholars based in United States, Canada and United Kingdom. Travis Zack's co-authors include Rameen Beroukhim, Gad Getz, Scott L. Carter, Matthew Meyerson, Hui Shen, Peter W. Laird, Steven E. Schumacher, Barbara A. Weir, Stacey Gabriel and Robert C. Onofrio and has published in prestigious journals such as Nature, Cell and Nature Medicine.

In The Last Decade

Co-authorship network of co-authors of Travis Zack

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

Fields of papers citing papers by Travis Zack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Travis Zack

Since Specialization
Citations

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