Kayvan Sadeghi
About
Kayvan Sadeghi has authored 14 papers that have received a total of 147 indexed citations.
This includes 11 papers in Artificial Intelligence, 6 papers in Statistics and Probability and 4 papers in Signal Processing. The topics of these papers are Bayesian Modeling and Causal Inference (11 papers), Data Management and Algorithms (4 papers) and Complex Network Analysis Techniques (3 papers). Kayvan Sadeghi is often cited by papers focused on Bayesian Modeling and Causal Inference (11 papers), Data Management and Algorithms (4 papers) and Complex Network Analysis Techniques (3 papers) and collaborates with scholars based in United Kingdom, United States and Denmark. Kayvan Sadeghi's co-authors include Steffen L. Lauritzen, Nanny Wermuth, Alessandro Rinaldo, Shaun Fallat and Éva Czabarka and has published in prestigious journals such as The Annals of Statistics, Journal of the Royal Statistical Society Series B (Statistical Methodology) and Journal of Machine Learning Research
In The Last Decade
Explore authors with similar magnitude of impact
Top authors papers by Hariz Halilovich are co-authored with Top fields papers by Jonathan M. Bowman are about Top fields papers by Aolin Xu are about Top journals papers by Ranu Samantrai are published in Top fields papers by M. Parisa Beham are about Top fields papers by Maoxin Wu are about Top journals papers by David Malet are published in Top countries impacted by papers by Susan Reed