Thomas Conway
Impact in
- Software top 10%
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
-
- Genomics and Phylogenetic Studies 5
- Genomics and Chromatin Dynamics 2
- Gene expression and cancer classification 1
- Co-authors
- Fergus Henderson (3 shared papers)Zoltán Somogyi (3 shared papers)Justin Zobel (4 shared papers)Bryan Beresford‐Smith (4 shared papers)Kathryn E. Holt (2 shared papers)Michael Inouye (1 shared paper)Kelly L. Wyres (3 shared papers)James Bailey (1 shared paper)
- Journals
- Bioinformatics (2 papers)Journal of Computational Biology (1 paper)IEEE/ACM Transactions on Computational Biology and Bioinformatics (1 paper)BMC Medical Genomics (1 paper)EBioMedicine (1 paper)
- Partner nations
- AustraliaUnited StatesSwitzerland
In The Last Decade
Thomas Conway
16 papers receiving 572 citations
Peers
Comparison fields: 5 of 76
- Software 35
- Molecular Medicine 37
- Artificial Intelligence 205
- Hardware and Architecture 38
- Computational Theory and Mathematics 74
Countries citing papers authored by Thomas Conway
This map shows the geographic impact of Thomas Conway'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 Thomas Conway with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Conway more than expected).
Fields of papers citing papers by Thomas Conway
This network shows the impact of papers produced by Thomas Conway. 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 Thomas Conway. The network helps show where Thomas Conway may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Conway, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 133 | |
| 2 | 2011 | 80 | |
| 3 | 2011 | 75 | |
| 4 | 2012 | 66 | |
| 5 | 2011 | 59 | |
| 6 | 2014 | 47 | |
| 7 | 2016 | 35 | |
| 8 | 2010 | 32 | |
| 9 | 2007 | 21 | |
| 10 | 2017 | 19 | |
| 11 | 2012 | 14 | |
| 12 | The Implementation of Mercury, an Efficient Purely Declarative Logic Programming Language. | 1994 | 7 |
| 13 | 2021 | 5 | |
| 14 | 2022 | 4 | |
| 15 | 2011 | 2 | |
| 16 | The Mercury Language Reference Manual | 2016 | 2 |
About Thomas Conway
Thomas Conway is a scholar working on Molecular Biology, Artificial Intelligence, Infectious Diseases, Computational Theory and Mathematics and Cancer Research, having authored 16 papers that have together received 601 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), Tuberculosis Research and Epidemiology (2 papers), Cancer Genomics and Diagnostics (2 papers), Genomics and Chromatin Dynamics (2 papers), Pharmacogenetics and Drug Metabolism (1 paper), CAR-T cell therapy research (1 paper), Gene expression and cancer classification (1 paper) and Mycobacterium research and diagnosis (1 paper). The work is most often cited by research in Software (35 citations), Molecular Medicine (37 citations), Artificial Intelligence (205 citations), Hardware and Architecture (38 citations) and Computational Theory and Mathematics (74 citations). Thomas Conway has collaborated with scholars based in Australia, United States and Switzerland. Frequent co-authors include Fergus Henderson, Zoltán Somogyi, Justin Zobel, Bryan Beresford‐Smith, Kathryn E. Holt, Michael Inouye, Kelly L. Wyres, James Bailey, Jan Schröder and Carlos Queiroz. Their work appears in journals such as Bioinformatics, Journal of Computational Biology, IEEE/ACM Transactions on Computational Biology and Bioinformatics, BMC Medical Genomics and EBioMedicine.
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.