Elizabeth Seger

5 papers and 74 indexed citations i.

About

Elizabeth Seger is a scholar working on Safety Research, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Elizabeth Seger has authored 5 papers receiving a total of 74 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Safety Research, 1 paper in Molecular Biology and 1 paper in Artificial Intelligence. Recurrent topics in Elizabeth Seger’s work include Ethics and Social Impacts of AI (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (1 paper) and HIV Research and Treatment (1 paper). Elizabeth Seger is often cited by papers focused on Ethics and Social Impacts of AI (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (1 paper) and HIV Research and Treatment (1 paper). Elizabeth Seger collaborates with scholars based in United Kingdom, United States and Canada. Elizabeth Seger's co-authors include Allan Dafoe, Divya Siddarth, Ben Garfinkel, John R. Riordan, Burkhard Tümmler, Benjamin J. Burwitz, Marcelo J. Kuroda, Lishomwa C. Ndhlovu, Jason S. Reed and Naoto Ishii and has published in prestigious journals such as The Journal of Immunology, Clinica Chimica Acta and Philosophy & Technology.

In The Last Decade

Co-authorship network of co-authors of Elizabeth Seger i

Fields of papers citing papers by Elizabeth Seger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Elizabeth Seger

Since Specialization
Citations

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