Koby Crammer

64 papers and 4.2k indexed citations .

Koby Crammer is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, Koby Crammer has authored 64 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Artificial Intelligence, 20 papers in Management Science and Operations Research and 10 papers in Computer Networks and Communications. Recurrent topics in Koby Crammer’s work include Machine Learning and Algorithms (31 papers), Advanced Bandit Algorithms Research (19 papers) and Machine Learning and Data Classification (15 papers). Koby Crammer is often cited by papers focused on Machine Learning and Algorithms (31 papers), Advanced Bandit Algorithms Research (19 papers) and Machine Learning and Data Classification (15 papers). Koby Crammer collaborates with scholars based in Israel, United States and Canada. Koby Crammer's co-authors include Yoram Singer, Alex Kulesza, Fernando Pereira, John Blitzer, Jennifer Wortman Vaughan, Shai Ben-David, Mark Dredze, Jennifer R. Wortman, Linli Xu and Dale Schuurmans and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence and BMC Bioinformatics.