Joshua Garland
About
Joshua Garland has authored 31 papers that have received a total of 517 indexed citations.
This includes 7 papers in Artificial Intelligence, 7 papers in Statistical and Nonlinear Physics and 7 papers in Economics and Econometrics. The topics of these papers are Complex Systems and Time Series Analysis (7 papers), Time Series Analysis and Forecasting (5 papers) and Neural dynamics and brain function (4 papers). Joshua Garland is often cited by papers focused on Complex Systems and Time Series Analysis (7 papers), Time Series Analysis and Forecasting (5 papers) and Neural dynamics and brain function (4 papers) and collaborates with scholars based in United States, Germany and Switzerland. Joshua Garland's co-authors include Elizabeth Bradley, James D. Meiss, James W. C. White, Tyler R. Jones and Jean-Gabriel Young and has published in prestigious journals such as Nature, PLoS ONE and The American Naturalist
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