Gabriel Erion

6 papers and 3.8k indexed citations i.

About

Gabriel Erion is a scholar working on Artificial Intelligence, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Gabriel Erion has authored 6 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Surgery and 1 paper in Pulmonary and Respiratory Medicine. Recurrent topics in Gabriel Erion’s work include Machine Learning in Healthcare (3 papers), Explainable Artificial Intelligence (XAI) (2 papers) and Healthcare Technology and Patient Monitoring (2 papers). Gabriel Erion is often cited by papers focused on Machine Learning in Healthcare (3 papers), Explainable Artificial Intelligence (XAI) (2 papers) and Healthcare Technology and Patient Monitoring (2 papers). Gabriel Erion collaborates with scholars based in United States. Gabriel Erion's co-authors include Su‐In Lee, Scott Lundberg, Hugh Chen, Alex J. DeGrave, Jordan M. Prutkin, Nisha Bansal, Bala G. Nair, Jonathan Himmelfarb, Ronit Katz and Joseph D. Janizek and has published in prestigious journals such as PLoS ONE, Nature Biomedical Engineering and npj Digital Medicine.

In The Last Decade

Co-authorship network of co-authors of Gabriel Erion i

Fields of papers citing papers by Gabriel Erion

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gabriel Erion

Since Specialization
Citations

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