Liora Alschuler

17 papers and 893 indexed citations i.

About

Liora Alschuler is a scholar working on Molecular Biology, Health Information Management and Artificial Intelligence. According to data from OpenAlex, Liora Alschuler has authored 17 papers receiving a total of 893 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Health Information Management and 7 papers in Artificial Intelligence. Recurrent topics in Liora Alschuler’s work include Biomedical Text Mining and Ontologies (10 papers), Electronic Health Records Systems (10 papers) and Semantic Web and Ontologies (6 papers). Liora Alschuler is often cited by papers focused on Biomedical Text Mining and Ontologies (10 papers), Electronic Health Records Systems (10 papers) and Semantic Web and Ontologies (6 papers). Liora Alschuler collaborates with scholars based in United States and Israel. Liora Alschuler's co-authors include Robert H. Dolin, Calvin E Beebe, Paul V. Biron, Fred M. Behlen, Amnon Shabo, John Mattison, Daniel Essin, Eliot Kimber, Tania M. Lincoln and Joshua C. Mandel and has published in prestigious journals such as Journal of the American Medical Informatics Association, Journal of AHIMA and PubMed.

In The Last Decade

Co-authorship network of co-authors of Liora Alschuler i

Fields of papers citing papers by Liora Alschuler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Liora Alschuler

Since Specialization
Citations

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