Marco Schreyer

40 total papers · 400 total citations
8 papers, 55 citations indexed

Marco Schreyer is a scholar working on Accounting, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Marco Schreyer has authored 8 papers receiving a total of 55 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Accounting, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Artificial Intelligence. Recurrent topics in Marco Schreyer’s work include Financial Distress and Bankruptcy Prediction (3 papers), Imbalanced Data Classification Techniques (2 papers) and Anomaly Detection Techniques and Applications (1 paper). Marco Schreyer is often cited by papers focused on Financial Distress and Bankruptcy Prediction (3 papers), Imbalanced Data Classification Techniques (2 papers) and Anomaly Detection Techniques and Applications (1 paper). Marco Schreyer collaborates with scholars based in United States, Switzerland and Netherlands. Marco Schreyer's co-authors include Miklos A. Vasarhelyi, Kevin Moffitt, Joost van Beusekom, Thomas M. Breuel, Ullrich Köthe, Kesheng Wu and Alex Sim and has published in prestigious journals such as International Journal of Accounting Information Systems, eScholarship (California Digital Library) and Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft).