Jaime G. Carbonell

30 papers and 2.2k indexed citations i.

Jaime G. Carbonell has authored 30 papers that have received a total of 2.2k indexed citations. This includes 10 papers in Molecular Biology, 2 papers in Materials Chemistry and 2 papers in Artificial Intelligence. The topics of these papers are Machine Learning in Bioinformatics (7 papers), Protein Structure and Dynamics (6 papers) and Bioinformatics and Genomic Networks (3 papers). Jaime G. Carbonell is often cited by papers focused on Machine Learning in Bioinformatics (7 papers), Protein Structure and Dynamics (6 papers) and Bioinformatics and Genomic Networks (3 papers) and collaborates with scholars based in United States, Germany and Austria. Jaime G. Carbonell's co-authors include Judith Klein‐Seetharaman, Jörg Siekmann, Öznur Taştan, Yan Liu and Vijay S. Gorantla and has published in prestigious journals such as Bioinformatics, Frontiers in Immunology and Proteins Structure Function and Bioinformatics