Jean-Gabriel Young

40 papers and 1.4k indexed citations i.

About

Jean-Gabriel Young is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Jean-Gabriel Young has authored 40 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Statistical and Nonlinear Physics, 10 papers in Artificial Intelligence and 8 papers in Molecular Biology. Recurrent topics in Jean-Gabriel Young’s work include Complex Network Analysis Techniques (27 papers), Opinion Dynamics and Social Influence (13 papers) and Bioinformatics and Genomic Networks (6 papers). Jean-Gabriel Young is often cited by papers focused on Complex Network Analysis Techniques (27 papers), Opinion Dynamics and Social Influence (13 papers) and Bioinformatics and Genomic Networks (6 papers). Jean-Gabriel Young collaborates with scholars based in United States, Canada and Austria. Jean-Gabriel Young's co-authors include Giovanni Petri, Alice Patania, Federico Battiston, Giulia Cencetti, Maxime Lucas, Vito Latora, Iacopo Iacopini, Laurent Hébert‐Dufresne, Louis J. Dubé and Antoine Allard and has published in prestigious journals such as Physical Review Letters, Nature Communications and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Jean-Gabriel Young i

Fields of papers citing papers by Jean-Gabriel Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jean-Gabriel Young

Since Specialization
Citations

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