Cameron Neylon
Impact in
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- scientometrics and bibliometrics research
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- Scientific Computing and Data Management
Papers in
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- DNA and Nucleic Acid Chemistry 7
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- Research Data Management Practices 19
- Co-authors
- Shirley Wu (2 shared papers)Nicholas E. Dixon (3 shared papers)Dario Taraborelli (1 shared paper)Paul Groth (2 shared papers)Jason R Priem (2 shared papers)Andrew V. Kralicek (2 shared papers)Luiz Olavo Bonino da Silva Santos (1 shared paper)Barend Mons (1 shared paper)
- Journals
- Nature (4 papers)PLoS ONE (3 papers)Physical Chemistry Chemical Physics (3 papers)Insights the UKSG journal (2 papers)LIBER Quarterly The Journal of the Association of European Research Libraries (2 papers)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Cameron Neylon
96 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 182
- Statistics, Probability and Uncertainty 495
- Information Systems and Management 421
- Information Systems 604
- Molecular Biology 1.0k
- Computer Science Applications 82
Countries citing papers authored by Cameron Neylon
This map shows the geographic impact of Cameron Neylon'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 Cameron Neylon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cameron Neylon more than expected).
Fields of papers citing papers by Cameron Neylon
This network shows the impact of papers produced by Cameron Neylon. 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 Cameron Neylon. The network helps show where Cameron Neylon may publish in the future.
Co-authors
The 25 scholars most cited alongside Cameron Neylon, 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 112 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 273 | |
| 2 | 2010 | 211 | |
| 3 | 2004 | 206 | |
| 4 | 2009 | 185 | |
| 5 | 2017 | 144 | |
| 6 | 2000 | 136 | |
| 7 | 2005 | 121 | |
| 8 | 2007 | 102 | |
| 9 | 2006 | 101 | |
| 10 | 2008 | 73 | |
| 11 | 2020 | 57 | |
| 12 | 2020 | 55 | |
| 13 | 2009 | 49 | |
| 14 | 2005 | 40 | |
| 15 | 2013 | 40 | |
| 16 | 2024 | 38 | |
| 17 | 2010 | 34 | |
| 18 | 2008 | 31 | |
| 19 | 2013 | 29 | |
| 20 | 2008 | 29 |
About Cameron Neylon
Cameron Neylon is a scholar working on Molecular Biology, Information Systems, Statistics, Probability and Uncertainty, Information Systems and Management and Computer Science Applications, having authored 112 papers that have together received 2.6k indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (20 papers), Research Data Management Practices (19 papers), Scientific Computing and Data Management (12 papers), DNA and Nucleic Acid Chemistry (7 papers), Academic Publishing and Open Access (6 papers), Open Education and E-Learning (5 papers), Higher Education Governance and Development (5 papers) and Semantic Web and Ontologies (5 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (495 citations), Information Systems and Management (421 citations), Information Systems (604 citations), Molecular Biology (1.0k citations) and Computer Science Applications (82 citations). Cameron Neylon has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Shirley Wu, Nicholas E. Dixon, Dario Taraborelli, Paul Groth, Jason R Priem, Andrew V. Kralicek, Luiz Olavo Bonino da Silva Santos, Barend Mons, Mark D. Wilkinson and Michel Dumontier. Their work appears in journals such as Nature, PLoS ONE, Physical Chemistry Chemical Physics, Insights the UKSG journal and LIBER Quarterly The Journal of the Association of European Research Libraries.
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.