Mark Heimann

7 papers and 28 indexed citations i.

Mark Heimann has authored 7 papers that have received a total of 28 indexed citations. This includes 5 papers in Artificial Intelligence, 4 papers in Statistical and Nonlinear Physics and 2 papers in Computer Vision and Pattern Recognition. The topics of these papers are Complex Network Analysis Techniques (4 papers), Advanced Graph Neural Networks (4 papers) and Domain Adaptation and Few-Shot Learning (1 paper). Mark Heimann is often cited by papers focused on Complex Network Analysis Techniques (4 papers), Advanced Graph Neural Networks (4 papers) and Domain Adaptation and Few-Shot Learning (1 paper) and collaborates with scholars based in United States and Germany. Mark Heimann's co-authors include Danai Koutra, Di Jin, R. M. Blank, Lingxiao Zhao and Mario Schmied and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics and ACM Transactions on Knowledge Discovery from Data