Nathan Drenkow

45 total papers · 464 total citations
8 papers, 173 citations indexed

Nathan Drenkow is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nathan Drenkow has authored 8 papers receiving a total of 173 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Artificial Intelligence and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nathan Drenkow’s work include Cell Image Analysis Techniques (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Adversarial Robustness in Machine Learning (2 papers). Nathan Drenkow is often cited by papers focused on Cell Image Analysis Techniques (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Adversarial Robustness in Machine Learning (2 papers). Nathan Drenkow collaborates with scholars based in United States and Italy. Nathan Drenkow's co-authors include Mathias Unberath, Francis X. Creighton, Russell H. Taylor, Zhaoshuo Li, Xingtong Liu, Andy S. Ding, Ilya Shpitser, Brock A. Wester, Philippe Burlina and Erik C. Johnson and has published in prestigious journals such as Scientific Reports, Frontiers in Psychology and GigaScience.