Michael Mascagni
About
Michael Mascagni has authored 68 papers that have received a total of 987 indexed citations.
This includes 18 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 12 papers in Computational Theory and Mathematics. The topics of these papers are Chaos-based Image/Signal Encryption (14 papers), Mathematical Approximation and Integration (9 papers) and Algorithms and Data Compression (6 papers). Michael Mascagni is often cited by papers focused on Chaos-based Image/Signal Encryption (14 papers), Mathematical Approximation and Integration (9 papers) and Algorithms and Data Compression (6 papers) and collaborates with scholars based in United States, South Korea and Saudi Arabia. Michael Mascagni's co-authors include Chi‐Ok Hwang, Nikolai A. Simonov, James A. Given, Steven A. Cuccaro and Yaohang Li and has published in prestigious journals such as The Journal of Chemical Physics, Applied Physics Letters and Bioinformatics
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