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Michael D. Byrne

Michael D. Byrne

D-Index & Metrics

Computer Science

D-Index
32
Citations
9286
World Ranking
12874
National Ranking
5192

Overview

Michael D. Byrne is affiliated with Rice University in the United States. Their research spans multiple fields, with a significant focus on computer science and social sciences. Within these domains, Byrne has contributed to subfields including artificial intelligence, sociology and political science, information systems, pulmonary and respiratory medicine, and human-computer interaction.

Their work covers several main topics such as privacy, security, and data protection, internet traffic analysis and secure e-voting, user authentication and security systems, hate speech and cyberbullying detection, usability and user interface design, cerebrovascular and carotid artery diseases, and intracranial aneurysms treatment and complications.

Recent publications authored or co-authored by Byrne include:

  • "Voter Verification of Ballot Marking Device Ballots Is a Two-Part Question: Can They? Mostly, They Can. Do They? Mostly, They Don't" (2020), published in Election Law Journal Rules Politics and Policy
  • "Evaluation of Robotic-Assisted Carotid Artery Stenting in a Virtual Model Using Motion-Based Performance Metrics" (2022), published in Journal of Endovascular Therapy
  • "Velocity-Domain Motion Quality Measures for Surgical Performance Evaluation and Feedback" (2020), published in Journal of Medical Devices
  • "The environmental basis of memory." (2022), published in Psychological Review
  • "Can Voters Detect Errors on Their Printed Ballots? Absolutely" (2022), published in arXiv (Cornell University)

Byrne frequently collaborates with other researchers. Notable frequent co-authors include Philip Kortum, Annlyle Diokno, Barathwaj Murali, Marcia K. O'Malley, and Julie Whitmore.

Their research has been published extensively in venues including:

  • Proceedings of the Human Factors and Ergonomics Society Annual Meeting
  • arXiv (Cornell University)
  • Journal of Endovascular Therapy
  • Election Law Journal Rules Politics and Policy
  • Psychological Review

Best Publications

  • An Integrated Theory of the Mind.

    John R. Anderson;Daniel Bothell;Michael D. Byrne;Scott Douglass

  • Eye tracking the visual search of click-down menus

    Michael D. Byrne;John R. Anderson;Scott Douglass;Michael Matessa

  • ACT-R/PM and menu selection

    Michael D. Byrne

  • Evaluating animations as student aids in learning computer algorithms

    Michael D. Byrne;Richard Catrambone;John T. Stasko

  • The tangled Web we wove: a taskonomy of WWW use

    Michael D. Byrne;Bonnie E. John;Neil S. Wehrle;David C. Crow

  • Serial modules in parallel: the psychological refractory period and perfect time-sharing.

    Michael D. Byrne;John R. Anderson

  • Using icons to find documents: simplicity is critical

    Michael D. Byrne

  • Cognitive architecture

    Michael D. Byrne

  • Modeling the visual search of displays: a revised ACT-R model of icon search based on eye-tracking data

    Michael D. Fleetwood;Michael D. Byrne

  • Effects of scent and breadth on use of site-specific search on e-commerce Web sites

    Michael A. Katz;Michael D. Byrne

  • A comparison of tools for building GOMS models

    Lynn K. Baumeister;Bonnie E. John;Michael D. Byrne

  • Using Computational Cognitive Modeling to Diagnose Possible Sources of Aviation Error

    Michael D. Byrne;Alex Kirlik

  • Learning to Achieve Perfect Timesharing: Architectural Implications of Hazeltine, Teague, and Ivry (2002).

    John R. Anderson;Niels A. Taatgen;Michael D. Byrne

  • STAR-Vote: A Secure, Transparent, Auditable, and Reliable Voting System

    Susan Bell;Josh Benaloh;Michael D. Byrne;Dana DeBeauvoir

  • Automating interface evaluation

    Michael D. Byrne;D. Wood;Piyawadee Sukaviriya;James D. Foley

  • Usability of voting systems: baseline data for paper, punch cards, and lever machines

    Michael D. Byrne;Kristen K. Greene;Sarah P. Everett

  • Electronic voting machines versus traditional methods: improved preference, similar performance

    Sarah P. Everett;Kristen K. Greene;Michael D. Byrne;Dan S. Wallach

  • Modeling icon search in ACT-R/PM

    Michael D Fleetwood;Michael D Byrne

  • Do Algorithm Animations Aid Learning

    Michael Dwyer Byrne;Richard Catrambone;John T. Stasko

  • Measuring the Usability of Paper Ballots: Efficiency, Effectiveness, and Satisfaction

    Sarah P. Everett;Michael D. Byrne;Kristen K. Greene

  • STAR-Vote: A Secure, Transparent, Auditable, and Reliable Voting System

    Josh Benaloh;Mike Byrne;Philip Kortum;Neal McBurnett

Frequent Co-Authors

Marcia K. O'Malley
Marcia K. O'Malley Rice University
Philip Kortum
Philip Kortum Rice University
Dan S. Wallach
Dan S. Wallach Rice University
Christian Lebiere
Christian Lebiere Carnegie Mellon University
John R. Anderson
John R. Anderson Carnegie Mellon University
Bonnie E. John
Bonnie E. John IBM (United States)
John Stasko
John Stasko Georgia Institute of Technology
Christopher D. Wickens
Christopher D. Wickens Colorado State University
Richard Catrambone
Richard Catrambone Georgia Institute of Technology
Alan Carr
Alan Carr University College Dublin

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