Daniel Cullina

19 papers and 273 indexed citations i.

Daniel Cullina has authored 19 papers that have received a total of 273 indexed citations. This includes 17 papers in Artificial Intelligence, 5 papers in Molecular Biology and 4 papers in Computer Networks and Communications. The topics of these papers are Advanced Graph Neural Networks (6 papers), DNA and Biological Computing (5 papers) and Adversarial Robustness in Machine Learning (5 papers). Daniel Cullina is often cited by papers focused on Advanced Graph Neural Networks (6 papers), DNA and Biological Computing (5 papers) and Adversarial Robustness in Machine Learning (5 papers) and collaborates with scholars based in United States, Switzerland and Italy. Daniel Cullina's co-authors include Negar Kiyavash, Prateek Mittal, Arjun Nitin Bhagoji, Matthias Grossglauser and H. Vincent Poor and has published in prestigious journals such as IEEE Transactions on Information Theory, ACM SIGMETRICS Performance Evaluation Review and Real-Time Systems.