Daniel E. Clark
About
Daniel E. Clark has authored 79 papers that have received a total of 2.1k indexed citations.
This includes 64 papers in Artificial Intelligence, 30 papers in Computer Networks and Communications and 23 papers in Aerospace Engineering. The topics of these papers are Target Tracking and Data Fusion in Sensor Networks (61 papers), Distributed Sensor Networks and Detection Algorithms (30 papers) and Gaussian Processes and Bayesian Inference (12 papers). Daniel E. Clark is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (61 papers), Distributed Sensor Networks and Detection Algorithms (30 papers) and Gaussian Processes and Bayesian Inference (12 papers) and collaborates with scholars based in United Kingdom, France and Australia. Daniel E. Clark's co-authors include Jérémie Houssineau, Ba‐Ngu Vo, Emmanuel Delande, Branko Ristić and Murat Üney and has published in prestigious journals such as Journal of the American College of Cardiology, IEEE Transactions on Automatic Control and IEEE Transactions on Information Theory.
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