Simon‐Martin Schröder

26 total papers · 420 total citations
4 papers, 160 citations indexed

Simon‐Martin Schröder is a scholar working on Artificial Intelligence, Oceanography and Computer Vision and Pattern Recognition. According to data from OpenAlex, Simon‐Martin Schröder has authored 4 papers receiving a total of 160 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Oceanography and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Simon‐Martin Schröder’s work include Domain Adaptation and Few-Shot Learning (3 papers), Machine Learning and Data Classification (2 papers) and Anomaly Detection Techniques and Applications (1 paper). Simon‐Martin Schröder is often cited by papers focused on Domain Adaptation and Few-Shot Learning (3 papers), Machine Learning and Data Classification (2 papers) and Anomaly Detection Techniques and Applications (1 paper). Simon‐Martin Schröder collaborates with scholars based in Germany, France and United States. Simon‐Martin Schröder's co-authors include Reinhard Koch, Rainer Kiko, Svenja Christiansen, Florian Schütte, Lars Stemmann, Arne Körtzinger, Henk‐Jan Hoving, Helena Hauss, Bernd Christiansen and Marc Picheral and has published in prestigious journals such as Limnology and Oceanography, Sensors and IEEE Access.