David Gotz
About
David Gotz has authored 65 papers that have received a total of 1.6k indexed citations.
This includes 42 papers in Computer Vision and Pattern Recognition, 33 papers in Artificial Intelligence and 14 papers in Signal Processing. The topics of these papers are Data Visualization and Analytics (38 papers), Time Series Analysis and Forecasting (11 papers) and Data Analysis with R (10 papers). David Gotz is often cited by papers focused on Data Visualization and Analytics (38 papers), Time Series Analysis and Forecasting (11 papers) and Data Analysis with R (10 papers) and collaborates with scholars based in United States, China and Hong Kong. David Gotz's co-authors include Nan Cao, Jimeng Sun, David Borland, Shunan Guo and Zhuochen Jin and has published in prestigious journals such as Biophysical Journal, Intensive Care Medicine and Journal of the American Medical Informatics Association
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