Naomi Sager

30 papers and 523 indexed citations i.

About

Naomi Sager is a scholar working on Artificial Intelligence, Molecular Biology and Issues, ethics and legal aspects. According to data from OpenAlex, Naomi Sager has authored 30 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 14 papers in Molecular Biology and 4 papers in Issues, ethics and legal aspects. Recurrent topics in Naomi Sager’s work include Biomedical Text Mining and Ontologies (14 papers), Natural Language Processing Techniques (13 papers) and Semantic Web and Ontologies (9 papers). Naomi Sager is often cited by papers focused on Biomedical Text Mining and Ontologies (14 papers), Natural Language Processing Techniques (13 papers) and Semantic Web and Ontologies (9 papers). Naomi Sager collaborates with scholars based in United States, Belgium and Switzerland. Naomi Sager's co-authors include Margaret S. Lyman, Leo J. Tick, Christine Bucknall, Ralph Grishman, Lynette Hirschman, F Borst, Elaine Marsh, Jean-Raoul Scherrer, C Friedman and Peter Spyns and has published in prestigious journals such as Communications of the ACM, Journal of the American Medical Informatics Association and Medical Decision Making.

In The Last Decade

Co-authorship network of co-authors of Naomi Sager i

Fields of papers citing papers by Naomi Sager

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Naomi Sager

Since Specialization
Citations

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