Daniel Barth-Jones
Impact in
- Virology top 5%
- HIV Research and Treatment
- Infectious Diseases top 5%
- Antifungal resistance and susceptibility
- HIV/AIDS Research and Interventions
Papers in
-
- Privacy-Preserving Technologies in Data 5
- Machine Learning and Algorithms 3
-
- Formal Methods in Verification 6
- Petri Nets in System Modeling 5
- Co-authors
- Hao Ying (11 shared papers)Lawrence R. Crane (8 shared papers)Rodger D. MacArthur (8 shared papers)Jonathan Cohn (8 shared papers)Marcus Zervos (2 shared papers)José A. Vázquez (2 shared papers)Verónica Sánchez (2 shared papers)Jack D. Sobel (2 shared papers)
- Journals
- Journal of Clinical Microbiology (1 paper)Information Sciences (1 paper)IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) (1 paper)Statistics in Medicine (1 paper)American Journal of Roentgenology (1 paper)
- Partner nations
- United StatesChinaEgypt
In The Last Decade
Daniel Barth-Jones
24 papers receiving 738 citations
Peers
Comparison fields: 5 of 106
- Virology 96
- Infectious Diseases 302
- Computational Theory and Mathematics 173
- Modeling and Simulation 29
- Epidemiology 182
Countries citing papers authored by Daniel Barth-Jones
This map shows the geographic impact of Daniel Barth-Jones'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 Daniel Barth-Jones with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Barth-Jones more than expected).
Fields of papers citing papers by Daniel Barth-Jones
This network shows the impact of papers produced by Daniel Barth-Jones. 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 Daniel Barth-Jones. The network helps show where Daniel Barth-Jones may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Barth-Jones, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 184 | |
| 2 | 1993 | 108 | |
| 3 | 1992 | 81 | |
| 4 | 2007 | 78 | |
| 5 | 2006 | 56 | |
| 6 | 2007 | 48 | |
| 7 | 2012 | 38 | |
| 8 | 1997 | 30 | |
| 9 | 2004 | 19 | |
| 10 | 1998 | 18 | |
| 11 | 2003 | 17 | |
| 12 | 2006 | 14 | |
| 13 | 2005 | 14 | |
| 14 | 2004 | 11 | |
| 15 | 2007 | 11 | |
| 16 | 2005 | 10 | |
| 17 | 2001 | 8 | |
| 18 | 2005 | 7 | |
| 19 | 2004 | 6 | |
| 20 | 2000 | 5 |
About Daniel Barth-Jones
Daniel Barth-Jones is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Infectious Diseases, Computer Networks and Communications and Virology, having authored 25 papers that have together received 777 indexed citations. Recurring topics across this work include Formal Methods in Verification (6 papers), Petri Nets in System Modeling (5 papers), Distributed systems and fault tolerance (5 papers), Privacy-Preserving Technologies in Data (5 papers), HIV/AIDS Research and Interventions (4 papers), HIV Research and Treatment (4 papers), Data Quality and Management (3 papers) and Machine Learning and Algorithms (3 papers). The work is most often cited by research in Virology (96 citations), Infectious Diseases (302 citations), Computational Theory and Mathematics (173 citations), Modeling and Simulation (29 citations) and Epidemiology (182 citations). Daniel Barth-Jones has collaborated with scholars based in United States, China and Egypt. Frequent co-authors include Hao Ying, Lawrence R. Crane, Rodger D. MacArthur, Jonathan Cohn, Marcus Zervos, José A. Vázquez, Verónica Sánchez, Jack D. Sobel, James S. Koopman and Andrew L. Adams. Their work appears in journals such as Journal of Clinical Microbiology, Information Sciences, IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics), Statistics in Medicine and American Journal of Roentgenology.
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.