Gail Garfinkel Weiss

65 papers and 356 indexed citations i.

About

Gail Garfinkel Weiss is a scholar working on Artificial Intelligence, General Health Professions and Pharmacy. According to data from OpenAlex, Gail Garfinkel Weiss has authored 65 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in General Health Professions and 6 papers in Pharmacy. Recurrent topics in Gail Garfinkel Weiss’s work include Medical Malpractice and Liability Issues (6 papers), Machine Learning and Algorithms (5 papers) and Topic Modeling (5 papers). Gail Garfinkel Weiss is often cited by papers focused on Medical Malpractice and Liability Issues (6 papers), Machine Learning and Algorithms (5 papers) and Topic Modeling (5 papers). Gail Garfinkel Weiss collaborates with scholars based in Israel, United States and Switzerland. Gail Garfinkel Weiss's co-authors include Yoav Goldberg, Eran Yahav, William Merrill, Roy Schwartz, Noah A. Smith, Lelde Vilkriste, Meelis Teder, Jelena Nedeljković, Zuzana Sarvašová and D. Mizaraitė and has published in prestigious journals such as Machine Learning, Transactions of the Association for Computational Linguistics and Hypatia.

In The Last Decade

Co-authorship network of co-authors of Gail Garfinkel Weiss i

Fields of papers citing papers by Gail Garfinkel Weiss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gail Garfinkel Weiss. 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 Gail Garfinkel Weiss. The network helps show where Gail Garfinkel Weiss may publish in the future.

Countries citing papers authored by Gail Garfinkel Weiss

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025