Kathryn Alpert

About

Kathryn Alpert is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Kathryn Alpert has authored 5 papers receiving a total of 93 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Molecular Biology. Recurrent topics in Kathryn Alpert’s work include Machine Learning in Healthcare (2 papers), Biomedical Text Mining and Ontologies (2 papers) and Functional Brain Connectivity Studies (2 papers). Kathryn Alpert is often cited by papers focused on Machine Learning in Healthcare (2 papers), Biomedical Text Mining and Ontologies (2 papers) and Functional Brain Connectivity Studies (2 papers). Kathryn Alpert collaborates with scholars based in United States, Russia and Australia. Kathryn Alpert's co-authors include Steven G. Potkin, Drew Landis, Jessica A. Turner, Vince D. Calhoun, David B. Keator, Margaret King, José Luis Ambite, Lei Wang, Derin Cobia and Lei Wang and has published in prestigious journals such as NeuroImage, Biological Psychiatry and Lecture notes in computer science.

In The Last Decade

Co-authorship network of co-authors of Kathryn Alpert i

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Fields of papers citing papers by Kathryn Alpert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kathryn Alpert

Since Specialization

Citations

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