2026 Michael Bailey: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	45	7073	6868	3106	2989	95	11322

Michael Bailey publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Michael Bailey sits on this spectrum.

32 publications 991+

This scientist: 95 publications — 7th percentile

7% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Michael Bailey D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Michael Bailey sits on this spectrum.

30 D-Index 131+

This scientist: 45 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

2012 - ACM Senior Member

Overview

Michael Bailey is affiliated with the Georgia Institute of Technology in the United States. Their research spans multiple fields, primarily focused on Computer Science and Biochemistry, Genetics and Molecular Biology. Bailey's work engages with subfields such as Molecular Biology, Artificial Intelligence, Information Systems, Computational Theory and Mathematics, and Sociology and Political Science.

The scientist's recent publications cover a variety of relevant topics and demonstrate ongoing contributions to interdisciplinary areas. Key recent papers include:

"CodonBERT: Large Language Models for mRNA design and optimization" (2023), published in bioRxiv (Cold Spring Harbor Laboratory)
"CodonBERT large language model for mRNA vaccines" (2024), published in Genome Research
"Representations of lipid nanoparticles using large language models for transfection efficiency prediction" (2024), published in Bioinformatics
"Designing Toxic Content Classification for a Diversity of Perspectives" (2021), published in arXiv (Cornell University)
"Testing Snowden's Hypothesis Does Mere Awareness Drive Opposition to Government Surveillance?" (2020), published in Public Opinion Quarterly

Their work frequently addresses several main topics, including:

RNA and protein synthesis mechanisms
Computational Drug Discovery Methods
Hate Speech and Cyberbullying Detection
Spam and Phishing Detection
Advanced Malware Detection Techniques
Machine Learning and Algorithms
Protein Structure and Dynamics

Bailey maintains collaborative research relationships with several frequent co-authors, including Lorenzo Kogler-Anele, Ziv Bar-Joseph, Sven Jäger, Sizhen Li, and Saeed Moayedpour. These collaborations have contributed to multiple projects and publications.

Their work has been disseminated in various scholarly venues, with multiple publications appearing in bioRxiv (Cold Spring Harbor Laboratory) and arXiv (Cornell University). Other notable venues include Genome Research, Bioinformatics, and Public Opinion Quarterly.

Bailey was awarded the ACM Senior Member designation in 2012. This recognition reflects standing within the professional computing community, though no further honor details are provided.

Best Publications

Understanding the mirai botnet

Manos Antonakakis;Tim April;Michael Bailey;Matthew Bernhard

1498
Citations
The Matter of Heartbleed

Zakir Durumeric;Frank Li;James Kasten;Johanna Amann

980
Citations
Automated classification and analysis of internet malware

Michael Bailey;Jon Oberheide;Jon Andersen;Z. Morley Mao

843
Citations
A Search Engine Backed by Internet-Wide Scanning

Zakir Durumeric;David Adrian;Ariana Mirian;Michael Bailey

550
Citations
Towards an understanding of anti-virtualization and anti-debugging behavior in modern malware

Xu Chen;J. Andersen;Z.M. Mao;M. Bailey

457
Citations
Analysis of the HTTPS certificate ecosystem

Zakir Durumeric;James Kasten;Michael Bailey;J. Alex Halderman

409
Citations
The Internet Motion Sensor - A Distributed Blackhole Monitoring System.

Michael Bailey;Evan Cooke;Farnam Jahanian;Jose Nazario

388
Citations
A Survey of Botnet Technology and Defenses

Michael Bailey;Evan Cooke;Farnam Jahanian;Yunjing Xu

334
Citations
An exploration of L2 cache covert channels in virtualized environments

Yunjing Xu;Michael Bailey;Farnam Jahanian;Kaustubh Joshi

330
Citations
Bohatei: flexible and elastic DDoS defense

Seyed K. Fayaz;Yoshiaki Tobioka;Vyas Sekar;Michael Bailey

309
Citations
Bobtail: avoiding long tails in the cloud

Yunjing Xu;Zachary Musgrave;Brian Noble;Michael Bailey

269
Citations
Internet background radiation revisited

Eric Wustrow;Manish Karir;Michael Bailey;Farnam Jahanian

207
Citations
Cloudy with a chance of breach: forecasting cyber security incidents

Yang Liu;Armin Sarabi;Jing Zhang;Parinaz Naghizadeh

204
Citations
Taming the 800 Pound Gorilla: The Rise and Decline of NTP DDoS Attacks

Jakub Czyz;Michael Kallitsis;Manaf Gharaibeh;Christos Papadopoulos

201
Citations
The Blaster worm: then and now

M. Bailey;E. Cooke;F. Jahanian;D. Watson

197
Citations
The Menlo Report

M. Bailey;D. Dittrich;E. Kenneally;D. Maughan

196
Citations
Measuring IPv6 adoption

Jakub Czyz;Mark Allman;Jing Zhang;Scott Iekel-Johnson

191
Citations
The Security Impact of HTTPS Interception

Zakir Durumeric;Zane Ma;Drew Springall;Richard Barnes

188
Citations
Shades of grey: On the effectiveness of reputation-based “blacklists”

S. Sinha;M. Bailey;F. Jahanian

182
Citations
Toward understanding distributed blackhole placement

Evan Cooke;Michael Bailey;Z. Morley Mao;David Watson

180
Citations
An internet-wide view of internet-wide scanning

Zakir Durumeric;Michael Bailey;J. Alex Halderman

172
Citations

Frequent Co-Authors

Farnam Jahanian Carnegie Mellon University

Zakir Durumeric University of California, Berkeley

J. Alex Halderman University of Michigan–Ann Arbor

Elie Bursztein Google (United States)

Mingyan Liu University of Michigan–Ann Arbor

Yih-Chun Hu University of Illinois at Urbana-Champaign

Fabian Monrose University of North Carolina at Chapel Hill

Brian D. Noble University of Michigan–Ann Arbor

Vyas Sekar Carnegie Mellon University

Vern Paxson University of California, Berkeley

External Links

Personal website of Michael Bailey Google Scholar page

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