Martin J. Mohlenkamp
About
Martin J. Mohlenkamp has authored 16 papers that have received a total of 787 indexed citations.
This includes 9 papers in Computational Theory and Mathematics, 8 papers in Computational Mathematics and 6 papers in Statistical and Nonlinear Physics. The topics of these papers are Tensor decomposition and applications (8 papers), Matrix Theory and Algorithms (7 papers) and Model Reduction and Neural Networks (4 papers). Martin J. Mohlenkamp is often cited by papers focused on Tensor decomposition and applications (8 papers), Matrix Theory and Algorithms (7 papers) and Model Reduction and Neural Networks (4 papers) and collaborates with scholars based in United States. Martin J. Mohlenkamp's co-authors include Gregory Beylkin, Fernando Pérez‐González, David M. Reif, Todd Young and Jochen Garcke and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Computational Physics and PLoS Computational Biology.
In The Last Decade
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