Alexander M. Rush
About
Alexander M. Rush has authored 170 papers that have received a total of 9.3k indexed citations.
This includes 72 papers in Artificial Intelligence, 25 papers in Economics and Econometrics and 23 papers in Computer Vision and Pattern Recognition. The topics of these papers are Topic Modeling (58 papers), Natural Language Processing Techniques (49 papers) and Data-Driven Disease Surveillance (20 papers). Alexander M. Rush is often cited by papers focused on Topic Modeling (58 papers), Natural Language Processing Techniques (49 papers) and Data-Driven Disease Surveillance (20 papers) and collaborates with scholars based in United States, United Kingdom and Israel. Alexander M. Rush's co-authors include Yoon Kim, Stuart M. Shieber, Marc P. Armstrong, Hendrik Strobelt and Hanspeter Pfister and has published in prestigious journals such as Applied Physics Letters, Bioinformatics and Gastroenterology
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