Johannes Lederer

32 papers and 366 indexed citations i.

Johannes Lederer has authored 32 papers that have received a total of 366 indexed citations. This includes 23 papers in Statistics and Probability, 11 papers in Artificial Intelligence and 11 papers in Computational Mechanics. The topics of these papers are Statistical Methods and Inference (21 papers), Sparse and Compressive Sensing Techniques (11 papers) and Bayesian Methods and Mixture Models (5 papers). Johannes Lederer is often cited by papers focused on Statistical Methods and Inference (21 papers), Sparse and Compressive Sensing Techniques (11 papers) and Bayesian Methods and Mixture Models (5 papers) and collaborates with scholars based in United States, Germany and Switzerland. Johannes Lederer's co-authors include Christian L. Müller, Irina Gaynanova, Mohamed Hebiri, Sergio Guadarrama and Jacob Bien and has published in prestigious journals such as Nucleic Acids Research, IEEE Transactions on Information Theory and Journal of Econometrics.