Martin Hagan
About
Martin Hagan has authored 55 papers that have received a total of 7.1k indexed citations.
This includes 20 papers in Artificial Intelligence, 12 papers in Materials Chemistry and 12 papers in Atomic and Molecular Physics, and Optics. The topics of these papers are Neural Networks and Applications (17 papers), Machine Learning in Materials Science (11 papers) and Advanced Chemical Physics Studies (9 papers). Martin Hagan is often cited by papers focused on Neural Networks and Applications (17 papers), Machine Learning in Materials Science (11 papers) and Advanced Chemical Physics Studies (9 papers) and collaborates with scholars based in United States, Japan and New Zealand. Martin Hagan's co-authors include Lionel M. Raff, R. Komanduri, M. Malshe, Satish Bukkapatnam and Paras M. Agrawal and has published in prestigious journals such as The Journal of Chemical Physics, IEEE Transactions on Automatic Control and Chemical Physics Letters
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