Jennifer Schumi

15 papers and 592 indexed citations i.

About

Jennifer Schumi is a scholar working on Artificial Intelligence, Physiology and Surgery. According to data from OpenAlex, Jennifer Schumi has authored 15 papers receiving a total of 592 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Physiology and 2 papers in Surgery. Recurrent topics in Jennifer Schumi’s work include Alzheimer's disease research and treatments (3 papers), Neural Networks and Applications (2 papers) and Statistical Methods in Clinical Trials (2 papers). Jennifer Schumi is often cited by papers focused on Alzheimer's disease research and treatments (3 papers), Neural Networks and Applications (2 papers) and Statistical Methods in Clinical Trials (2 papers). Jennifer Schumi collaborates with scholars based in United States, Sweden and United Kingdom. Jennifer Schumi's co-authors include Janet Wittes, Jason Schweinsberg, Lyle Ungar, Richard D. De Veaux, Eric Klug, Philippe L. L’Allier, Robert C. Scott, Jean‐Claude Tardif, Eldrin F. Lewis and John J.V. McMurray and has published in prestigious journals such as The Lancet, Circulation and Journal of the American College of Cardiology.

In The Last Decade

Co-authorship network of co-authors of Jennifer Schumi i

Fields of papers citing papers by Jennifer Schumi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jennifer Schumi

Since Specialization
Citations

This map shows the geographic impact of Jennifer Schumi'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 Jennifer Schumi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Schumi 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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2025