Jason K. Johnson
About
Jason K. Johnson has authored 25 papers that have received a total of 422 indexed citations.
This includes 12 papers in Artificial Intelligence, 8 papers in Computer Networks and Communications and 6 papers in Clinical Psychology. The topics of these papers are Bayesian Modeling and Causal Inference (9 papers), Error Correcting Code Techniques (7 papers) and Autism Spectrum Disorder Research (5 papers). Jason K. Johnson is often cited by papers focused on Bayesian Modeling and Causal Inference (9 papers), Error Correcting Code Techniques (7 papers) and Autism Spectrum Disorder Research (5 papers) and collaborates with scholars based in United States and United Kingdom. Jason K. Johnson's co-authors include Clark McKown, Nicole M. Russo‐Ponsaran, Alan S. Willsky, Michael Chertkov and Dmitry Malioutov and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Signal Processing and Computer Methods in Applied Mechanics and Engineering
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