The chart shows the distribution of publications by all Research.com ranked scientists in the field of Medicine in 2026. The highlighted bar marks where Michael Bailey sits on this spectrum.
This scientist: 738 publications — 84th percentile
84% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 1,796 publications or more.
The chart shows the D-index (discipline H-index) distribution of Medicine scientists ranked by Research.com in 2026. The highlighted bar marks where Michael Bailey sits on this spectrum.
This scientist: 118 D-Index — 80th percentile
80% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 217 D-Index or more.
Michael Bailey is affiliated with Monash University in Australia. Their research spans multiple interdisciplinary fields, combining expertise in Computer Science and Biochemistry, Genetics and Molecular Biology. The primary areas of focus in their work include molecular biology and artificial intelligence approaches applied to biological and computational problems.
Their scientific contributions cover a range of topics including RNA and protein synthesis mechanisms, computational drug discovery methods, and advanced machine learning algorithms for detecting harmful online content and cybersecurity threats. Specifically, their work addresses issues such as hate speech and cyberbullying detection, spam and phishing detection, and sophisticated malware detection techniques.
Michael Bailey's publication record shows a blend of experimental and computational studies published in specialized journals and preprint servers. Notable recent publications include:
Their frequent coauthors include scholars with whom they have collaborated extensively, indicating a network of multidisciplinary research partnerships. Regular collaborators include Lorenzo Kogler-Anele, Ziv Bar-Joseph, Sven Jäger, Sizhen Li, and Saeed Moayedpour.
Michael Bailey's work has appeared most often in the following venues:
Their research integrates computational theory, information systems, and sociopolitical aspects of technology, as evidenced by publications in sociology and political science subfields alongside molecular biology topics. This multidisciplinary approach supports their investigations into both biological systems and digital communication phenomena.
Andrew Davies;Daryl Jones;Michael Bailey;John Beca
Sandra Lois Peake;Anthony Delaney;Michael John Bailey;Rinaldo Bellomo
John B. Dixon;Paul E. O'Brien;Julie Playfair;Leon Chapman
Kirsi-Maija Kaukonen;Michael John Bailey;Satoshi Suzuki;David V Pilcher
Kirsi-Maija Kaukonen;Michael John Bailey;David V Pilcher;David James Cooper
Steven A R Webb;Ville Yrjo Olavi Pettila;Ian M Seppelt;Rinaldo Bellomo
Nor'azim Mohd Yunos;Rinaldo Bellomo;Colin Hegarty;David Story
Eamon P. Raith;Eamon P. Raith;Andrew A. Udy;Andrew A. Udy;Michael Bailey;Steven McGloughlin;Steven McGloughlin
Matthieu Schmidt;Michael Bailey;Jayne Sheldrake;Carol Hodgson
Matthieu Schmidt;Aidan Burrell;Lloyd Roberts;Michael Bailey
Paul Jeffrey Young;Michael John Bailey;Richard W Beasley;Seton J Henderson;Seton J Henderson
Johnson George;Yee-ting Phun;Michael John Bailey;David C M Kong
Yahya Shehabi;Rinaldo Bellomo;Michael C Reade;Michael C Reade;Michael John Bailey
Prism Investigators;Kathryn M Rowan;Derek C Angus;Michael Bailey
E M Glare;M Divjak;M J Bailey;E H Walters;E H Walters
Jeremy D Ruben;Michael Dally;Michael John Bailey;Robin Smith
Moritoki Egi;Rinaldo Bellomo;Edward Stachowski;Craig J French
Paul Bernard Fitzgerald;Kate Elizabeth Hoy;Susan Ann McQueen;Jerome Joseph Maller
Moritoki Egi;Rinaldo Bellomo;Edward Stachowski;Craig J French
Silvana F Marasco;Silvana F Marasco;Andrew R Davies;Jamie Cooper;Dinesh Varma;Dinesh Varma
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