Massimiliano Albanese


Dr. Massimiliano Albanese is an Assistant Professor in the Department of Information Sciences and Technology at George Mason University, where he is also serving as the Associate Director of the Center for Secure Information Systems (CSIS), and the Codirector of the Laboratory for IT Entrepreneurship (LITE). Dr. Albanese received his Ph.D. degree in Computer Science and Engineering in 2005 from the University of Naples Federico II, and joined George Mason University in 2011 after serving as a Postdoctoral Researcher at the University of Maryland. His research interests are in the area of Information and Network Security, with particular emphasis on Modeling and Detection of Cyber Attacks, Cyber Situational Awareness, Network Hardening and Optimal Defenses, Moving Target Defense and Adaptive Cyber Defense, and Cyber-Physical Systems. Dr. Albanese has participated in sponsored research projects totaling $7.7M. He holds a U.S. Patent and has co-authored a book and over 50 papers in peer-reviewed journals and conference proceedings. Dr. Albanese is one of the only three recipients of the 2014 Mason Emerging Researcher/Scholar/Creator Award, one of the most prestigious honors at Mason.

Research Fields

Information and Computing Sciences

Editorial Board Memberships

Massimiliano is not currently contributing as an editor for any journal or publisher.

Pre Publication Reviews

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Reviews (last 12 months)


Reviews (average per year)






Review to Publication ratio


Journal Impact Factors of journals reviewed for

The distribution of the Journal Impact Factors of journals Massimiliano Albanese has reviewed for.

Massimiliano Albanese

All fields reviewers

Total reviews over time

A cumulative record of Massimiliano Albanese's total number of reviews.

Reviews per month

The total number of reviews performed by Massimiliano Albanese each month.

Average review length

The average number of words per review compared to the average of All fields reviewers and the average of reviewers at affiliated institutions.

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Weekly review punchcard

The distribution of days that reviews were performed on, compared to All fields reviewers and reviewers at affiliated institutions.