Adam M. Johansen
About
Adam M. Johansen has authored 47 papers that have received a total of 732 indexed citations.
This includes 26 papers in Artificial Intelligence, 24 papers in Statistics and Probability and 6 papers in Management Science and Operations Research. The topics of these papers are Bayesian Methods and Mixture Models (18 papers), Markov Chains and Monte Carlo Methods (16 papers) and Target Tracking and Data Fusion in Sensor Networks (13 papers). Adam M. Johansen is often cited by papers focused on Bayesian Methods and Mixture Models (18 papers), Markov Chains and Monte Carlo Methods (16 papers) and Target Tracking and Data Fusion in Sensor Networks (13 papers) and collaborates with scholars based in United Kingdom, Canada and United States. Adam M. Johansen's co-authors include Arnaud Doucet, John A. D. Aston, Nick Whiteley, Matthew Thorpe and Simon Godsill and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and Chemistry of Materials
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