Lise Getoor

132 papers and 5.9k indexed citations i.

Lise Getoor is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Management Science and Operations Research. According to data from OpenAlex, Lise Getoor has authored 132 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Artificial Intelligence, 27 papers in Statistical and Nonlinear Physics and 26 papers in Management Science and Operations Research. Recurrent topics in Lise Getoor’s work include Bayesian Modeling and Causal Inference (33 papers), Complex Network Analysis Techniques (25 papers) and Data Quality and Management (21 papers). Lise Getoor is often cited by papers focused on Bayesian Modeling and Causal Inference (33 papers), Complex Network Analysis Techniques (25 papers) and Data Quality and Management (21 papers). Lise Getoor collaborates with scholars based in United States, Belgium and Canada. Lise Getoor's co-authors include Mustafa Bilgic, Bert Huang, Galileo Namata, Jay Pujara and Amol Deshpande and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Bioinformatics.