Dina Demner‐Fushman

185 papers and 4.5k indexed citations i.

About

Dina Demner‐Fushman is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dina Demner‐Fushman has authored 185 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 123 papers in Artificial Intelligence, 113 papers in Molecular Biology and 44 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dina Demner‐Fushman’s work include Biomedical Text Mining and Ontologies (113 papers), Topic Modeling (90 papers) and Natural Language Processing Techniques (44 papers). Dina Demner‐Fushman is often cited by papers focused on Biomedical Text Mining and Ontologies (113 papers), Topic Modeling (90 papers) and Natural Language Processing Techniques (44 papers). Dina Demner‐Fushman collaborates with scholars based in United States, United Kingdom and Canada. Dina Demner‐Fushman's co-authors include Clement J. McDonald, Jimmy Lin, Xiaoli Huang, Kirk Roberts, Sameer Antani, George R. Thoma, Wendy W. Chapman, Asma Ben Abacha, Jimmy Lin and Sonya E. Shooshan and has published in prestigious journals such as PLoS ONE, BMC Bioinformatics and Critical Care.

In The Last Decade

Co-authorship network of co-authors of Dina Demner‐Fushman i

Fields of papers citing papers by Dina Demner‐Fushman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dina Demner‐Fushman. 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 Dina Demner‐Fushman. The network helps show where Dina Demner‐Fushman may publish in the future.

Countries citing papers authored by Dina Demner‐Fushman

Since Specialization
Citations

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