Mark Boyd
Impact in
Papers in
-
- HIV/AIDS drug development and treatment 39
- HIV/AIDS Research and Interventions 28
- Virology 22
- HIV Research and Treatment 22
- Co-authors
- J.B. Dugan (8 shared papers)Salvatore J. Bavuso (6 shared papers)David A. Cooper (25 shared papers)Kiat Ruxrungtham (17 shared papers)Praphan Phanuphak (19 shared papers)Sean Emery (18 shared papers)Janaki Amin (12 shared papers)Apicha Mahanontharit (3 shared papers)
- Journals
- HIV Medicine (8 papers)AIDS (8 papers)Antiviral Therapy (7 papers)PLoS ONE (6 papers)The Lancet HIV (5 papers)
- Partner nations
- AustraliaUnited StatesThailand
In The Last Decade
Mark Boyd
131 papers receiving 2.8k citations
Mark Boyd's Hit Papers
Peers
Comparison fields: 5 of 159
- Software 552
- Virology 436
- Statistics, Probability and Uncertainty 397
- Infectious Diseases 914
- Emergency Medicine 319
Countries citing papers authored by Mark Boyd
This map shows the geographic impact of Mark Boyd's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mark Boyd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Boyd more than expected).
Fields of papers citing papers by Mark Boyd
This network shows the impact of papers produced by Mark Boyd. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mark Boyd. The network helps show where Mark Boyd may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Boyd, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 144 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Dynamic fault-tree models for fault-tolerant computer systems Hit paper breakdown → | 1992 | 604 |
| 2 | 2004 | 124 | |
| 3 | 1993 | 104 | |
| 4 | 2002 | 95 | |
| 5 | 2003 | 93 | |
| 6 | 2019 | 76 | |
| 7 | 1990 | 70 | |
| 8 | 2012 | 69 | |
| 9 | 2015 | 63 | |
| 10 | 2011 | 50 | |
| 11 | 2007 | 48 | |
| 12 | 2006 | 47 | |
| 13 | 2009 | 47 | |
| 14 | 2010 | 40 | |
| 15 | 2016 | 38 | |
| 16 | 2003 | 37 | |
| 17 | 2005 | 34 | |
| 18 | 2015 | 33 | |
| 19 | 2006 | 33 | |
| 20 | 2013 | 32 |
About Mark Boyd
Mark Boyd is a scholar working on Infectious Diseases, Virology, Emergency Medicine, Epidemiology and General Health Professions, having authored 144 papers that have together received 2.9k indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (39 papers), HIV/AIDS Research and Interventions (28 papers), HIV Research and Treatment (22 papers), HIV-related health complications and treatments (15 papers), Software Reliability and Analysis Research (10 papers), Radiation Effects in Electronics (6 papers), HIV, Drug Use, Sexual Risk (6 papers) and Smoking Behavior and Cessation (5 papers). The work is most often cited by research in Software (552 citations), Virology (436 citations), Statistics, Probability and Uncertainty (397 citations), Infectious Diseases (914 citations) and Emergency Medicine (319 citations). Mark Boyd has collaborated with scholars based in Australia, United States and Thailand. Frequent co-authors include J.B. Dugan, Salvatore J. Bavuso, David A. Cooper, Kiat Ruxrungtham, Praphan Phanuphak, Sean Emery, Janaki Amin, Apicha Mahanontharit, Joep MA Lange and Kathy Petoumenos. Their work appears in journals such as HIV Medicine, AIDS, Antiviral Therapy, PLoS ONE and The Lancet HIV.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.