Brian Gallagher
About
Brian Gallagher has authored 62 papers that have received a total of 3.1k indexed citations.
This includes 23 papers in Artificial Intelligence, 20 papers in Statistical and Nonlinear Physics and 10 papers in Materials Chemistry. The topics of these papers are Complex Network Analysis Techniques (19 papers), Advanced Graph Neural Networks (11 papers) and Machine Learning in Materials Science (10 papers). Brian Gallagher is often cited by papers focused on Complex Network Analysis Techniques (19 papers), Advanced Graph Neural Networks (11 papers) and Machine Learning in Materials Science (10 papers) and collaborates with scholars based in United States, Australia and Germany. Brian Gallagher's co-authors include Tina Eliassi‐Rad, Christos Faloutsos, T. Yong-Jin Han, Jennifer Neville and Hanghang Tong and has published in prestigious journals such as The Journal of Chemical Physics, Chemistry of Materials and PEDIATRICS.
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