Jake M. Hofman
About
Jake M. Hofman has authored 37 papers that have received a total of 2.9k indexed citations.
This includes 13 papers in Artificial Intelligence, 7 papers in Statistical and Nonlinear Physics and 6 papers in Molecular Biology. The topics of these papers are Complex Network Analysis Techniques (6 papers), Opinion Dynamics and Social Influence (6 papers) and Explainable Artificial Intelligence (XAI) (5 papers). Jake M. Hofman is often cited by papers focused on Complex Network Analysis Techniques (6 papers), Opinion Dynamics and Social Influence (6 papers) and Explainable Artificial Intelligence (XAI) (5 papers) and collaborates with scholars based in United States, United Kingdom and Germany. Jake M. Hofman's co-authors include Chris H. Wiggins, Duncan J. Watts, Daniel G. Goldstein, Sharad Goel and Harry S. Xenias and has published in prestigious journals such as Nature, Science and Cell
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