Gabriel Erion

About

Gabriel Erion is a scholar working on Artificial Intelligence, Surgery and Agronomy and Crop Science. According to data from OpenAlex, Gabriel Erion has authored 4 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Surgery and 1 paper in Agronomy and Crop Science. Recurrent topics in Gabriel Erion’s work include Machine Learning in Healthcare (2 papers), Healthcare Technology and Patient Monitoring (2 papers) and Bayesian Modeling and Causal Inference (1 paper). Gabriel Erion is often cited by papers focused on Machine Learning in Healthcare (2 papers), Healthcare Technology and Patient Monitoring (2 papers) and Bayesian Modeling and Causal Inference (1 paper). Gabriel Erion collaborates with scholars based in United States, France and United Kingdom. Gabriel Erion's co-authors include Su‐In Lee, Hugh Chen, Scott Lundberg, Ronit Katz, Bala G. Nair, Jordan M. Prutkin, Nisha Bansal, Alex J. DeGrave, Jonathan Himmelfarb 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

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriel Erion. A scholar is included among the top collaborators of Gabriel Erion based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gabriel Erion. Gabriel Erion is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Gabriel Erion

4 papers receiving 4.2k citations

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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