Alexander Ihler

92 papers and 2.4k indexed citations i.

Alexander Ihler has authored 92 papers that have received a total of 2.4k indexed citations. This includes 64 papers in Artificial Intelligence, 28 papers in Computer Networks and Communications and 12 papers in Computer Vision and Pattern Recognition. The topics of these papers are Bayesian Modeling and Causal Inference (35 papers), Machine Learning and Algorithms (25 papers) and Distributed Constraint Optimization Problems and Algorithms (8 papers). Alexander Ihler is often cited by papers focused on Bayesian Modeling and Causal Inference (35 papers), Machine Learning and Algorithms (25 papers) and Distributed Constraint Optimization Problems and Algorithms (8 papers) and collaborates with scholars based in United States, China and Germany. Alexander Ihler's co-authors include Padhraic Smyth, Alan S. Willsky, John W. Fisher, Rina Dechter and Qiang Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and Communications of the ACM