Michael Steinbach
About
Michael Steinbach has authored 78 papers that have received a total of 6.1k indexed citations.
This includes 24 papers in Artificial Intelligence, 16 papers in Molecular Biology and 15 papers in Global and Planetary Change. The topics of these papers are Data Mining Algorithms and Applications (13 papers), Machine Learning in Healthcare (10 papers) and Climate variability and models (8 papers). Michael Steinbach is often cited by papers focused on Data Mining Algorithms and Applications (13 papers), Machine Learning in Healthcare (10 papers) and Climate variability and models (8 papers) and collaborates with scholars based in United States, United Kingdom and Canada. Michael Steinbach's co-authors include Vipin Kumar, Christopher Potter, Steven Klooster, György Simon and Pang‐Ning Tan and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Journal of Geophysical Research Atmospheres.
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