Graciela Rosemblat

32 papers and 741 indexed citations i.

About

Graciela Rosemblat is a scholar working on Artificial Intelligence, Molecular Biology and General Health Professions. According to data from OpenAlex, Graciela Rosemblat has authored 32 papers receiving a total of 741 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 21 papers in Molecular Biology and 5 papers in General Health Professions. Recurrent topics in Graciela Rosemblat’s work include Biomedical Text Mining and Ontologies (21 papers), Semantic Web and Ontologies (13 papers) and Topic Modeling (12 papers). Graciela Rosemblat is often cited by papers focused on Biomedical Text Mining and Ontologies (21 papers), Semantic Web and Ontologies (13 papers) and Topic Modeling (12 papers). Graciela Rosemblat collaborates with scholars based in United States, Denmark and China. Graciela Rosemblat's co-authors include Marcelo Fiszman, Thomas C. Rindflesch, Halil Kilicoglu, Dongwook Shin, Christopher M. Miller, Allen C. Browne, Alla Keselman, Han Zhang, Tony Tse and Dimitar Hristovski and has published in prestigious journals such as Bioinformatics, PLoS ONE and SLEEP.

In The Last Decade

Co-authorship network of co-authors of Graciela Rosemblat i

Fields of papers citing papers by Graciela Rosemblat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Graciela Rosemblat

Since Specialization
Citations

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