Jaime Carbonell

26 papers and 575 indexed citations i.

Jaime Carbonell has authored 26 papers that have received a total of 575 indexed citations. This includes 5 papers in Molecular Biology, 4 papers in Artificial Intelligence and 2 papers in Computational Mechanics. The topics of these papers are Machine Learning in Bioinformatics (5 papers), Protein Structure and Dynamics (3 papers) and Sparse and Compressive Sensing Techniques (2 papers). Jaime Carbonell is often cited by papers focused on Machine Learning in Bioinformatics (5 papers), Protein Structure and Dynamics (3 papers) and Sparse and Compressive Sensing Techniques (2 papers) and collaborates with scholars based in United States, Germany and Greece. Jaime Carbonell's co-authors include Jörg Siekmann, Jörg Siekmann, Judith Klein‐Seetharaman, J rg Siekmann and Yan Liu and has published in prestigious journals such as Frontiers in Microbiology, Machine Learning and Lecture notes in computer science.