Christopher Brooks

50 papers and 1.2k indexed citations i.

Christopher Brooks has authored 50 papers that have received a total of 1.2k indexed citations. This includes 25 papers in Computer Science Applications, 15 papers in Artificial Intelligence and 9 papers in Education. The topics of these papers are Online Learning and Analytics (21 papers), Machine Learning and Data Classification (6 papers) and Innovative Teaching and Learning Methods (6 papers). Christopher Brooks is often cited by papers focused on Online Learning and Analytics (21 papers), Machine Learning and Data Classification (6 papers) and Innovative Teaching and Learning Methods (6 papers) and collaborates with scholars based in United States, Canada and United Kingdom. Christopher Brooks's co-authors include Karl Iagnemma, John A. Howard, Steve Oney, Stephen J. Streatfield and Joseph M. Jilka and has published in prestigious journals such as Blood, Journal of Controlled Release and Phytochemistry.