Alexander Ruggieri

15 papers and 287 indexed citations i.

About

Alexander Ruggieri is a scholar working on Molecular Biology, Epidemiology and Artificial Intelligence. According to data from OpenAlex, Alexander Ruggieri has authored 15 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Epidemiology and 3 papers in Artificial Intelligence. Recurrent topics in Alexander Ruggieri’s work include Biomedical Text Mining and Ontologies (8 papers), Chronic Disease Management Strategies (3 papers) and Topic Modeling (2 papers). Alexander Ruggieri is often cited by papers focused on Biomedical Text Mining and Ontologies (8 papers), Chronic Disease Management Strategies (3 papers) and Topic Modeling (2 papers). Alexander Ruggieri collaborates with scholars based in United States and Vietnam. Alexander Ruggieri's co-authors include Christopher G. Chute, Serguei Pakhomov, Gosia Sylwestrzak, Andrea DeVries, Robert S. Stern, Jinan Liu, Genevieve B. Melton, Bridget T. McInnes, Ted Pedersen and Judith J. Stephenson and has published in prestigious journals such as Biochemistry, The American Journal of Medicine and Arthritis Care & Research.

In The Last Decade

Co-authorship network of co-authors of Alexander Ruggieri i

Fields of papers citing papers by Alexander Ruggieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Alexander Ruggieri

Since Specialization
Citations

This map shows the geographic impact of Alexander Ruggieri'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 Alexander Ruggieri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Ruggieri 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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2025