Andreas Geyer-Schulz
About
Andreas Geyer-Schulz has authored 23 papers that have received a total of 345 indexed citations.
This includes 8 papers in Artificial Intelligence, 6 papers in Information Systems and 5 papers in Computer Networks and Communications. The topics of these papers are Complex Network Analysis Techniques (5 papers), Graph theory and applications (3 papers) and Recommender Systems and Techniques (3 papers). Andreas Geyer-Schulz is often cited by papers focused on Complex Network Analysis Techniques (5 papers), Graph theory and applications (3 papers) and Recommender Systems and Techniques (3 papers) and collaborates with scholars based in Germany, Austria and France. Andreas Geyer-Schulz's co-authors include Michael Hahsler, Daniel Baier, Christof Weinhardt, Frank J. Fabozzi and Alexandra Rese and has published in prestigious journals such as Technological Forecasting and Social Change, Social Networks and Lecture notes in computer science.
In The Last Decade
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