Laurie Gerber

About

Laurie Gerber is a scholar working on Artificial Intelligence, Public Health, Environmental and Occupational Health and General Health Professions. According to data from OpenAlex, Laurie Gerber has authored 6 papers receiving a total of 131 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Public Health, Environmental and Occupational Health and 1 paper in General Health Professions. Recurrent topics in Laurie Gerber’s work include Topic Modeling (2 papers), Natural Language Processing Techniques (2 papers) and Palliative Care and End-of-Life Issues (1 paper). Laurie Gerber is often cited by papers focused on Topic Modeling (2 papers), Natural Language Processing Techniques (2 papers) and Palliative Care and End-of-Life Issues (1 paper). Laurie Gerber collaborates with scholars based in United States and Canada. Laurie Gerber's co-authors include Eduard Hovy, Michael Junk, Chin-Yew Lin, Ulf Hermjakob, David Farwell, Dani Byrd, Abe Kazemzadeh, Jongho Shin, Shrikanth Narayanan and Carol Van Ess-Dykema and has published in prestigious journals such as Lecture notes in computer science, MedEdPORTAL and Springer eBooks.

In The Last Decade

Co-authorship network of co-authors of Laurie Gerber i

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Fields of papers citing papers by Laurie Gerber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Laurie Gerber

Since Specialization

Citations

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