Brian Gallagher

62 papers and 3.2k indexed citations i.

Brian Gallagher has authored 62 papers that have received a total of 3.2k 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 France. Brian Gallagher's co-authors include Christos Faloutsos, Tina Eliassi‐Rad, T. Yong-Jin Han, Jennifer Neville and Anna M. Hiszpanski and has published in prestigious journals such as The Journal of Chemical Physics, Chemistry of Materials and PEDIATRICS.