Andrew Treloar
Impact in
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- Scientific Computing and Data Management
- Information Systems top 2%
- Research Data Management Practices
Papers in
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- Research Data Management Practices 28
- Library Collection Development and Digital Resources 5
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- Scientific Computing and Data Management 24
- Co-authors
- Birgit Schmidt (1 shared paper)Birgit Gemeinholzer (2 shared papers)Adrian Burton (3 shared papers)Ross Wilkinson (6 shared papers)Michelle Barker (3 shared papers)Siddeswara Guru (2 shared papers)Lauren C. Houghton (1 shared paper)Kun Lai (1 shared paper)
- Journals
- Data Science Journal (2 papers)Learned Publishing (2 papers)D-Lib Magazine (1 paper)Future Generation Computer Systems (1 paper)Education for Information (1 paper)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Andrew Treloar
46 papers receiving 367 citations
Peers
Comparison fields: 5 of 83
- Information Systems and Management 229
- Information Systems 284
- Management Science and Operations Research 119
- Conservation 32
- Ecological Modeling 27
Countries citing papers authored by Andrew Treloar
This map shows the geographic impact of Andrew Treloar'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 Andrew Treloar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Treloar more than expected).
Fields of papers citing papers by Andrew Treloar
This network shows the impact of papers produced by Andrew Treloar. 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 Andrew Treloar. The network helps show where Andrew Treloar may publish in the future.
Co-authors
The 25 scholars most cited alongside Andrew Treloar, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 78 | |
| 2 | 2007 | 45 | |
| 3 | 2015 | 37 | |
| 4 | 2019 | 36 | |
| 5 | 1994 | 21 | |
| 6 | 2014 | 20 | |
| 7 | 2009 | 17 | |
| 8 | 2015 | 11 | |
| 9 | 2009 | 11 | |
| 10 | 2009 | 11 | |
| 11 | ARROW, DART and ARCHER: a Quiver Full of Research Repository and Related Projects | 2007 | 10 |
| 12 | 2008 | 10 | |
| 13 | 2019 | 9 | |
| 14 | 2012 | 9 | |
| 15 | 2009 | 8 | |
| 16 | 2017 | 8 | |
| 17 | 2010 | 7 | |
| 18 | 2013 | 6 | |
| 19 | 2008 | 6 | |
| 20 | 2019 | 5 |
About Andrew Treloar
Andrew Treloar is a scholar working on Information Systems, Information Systems and Management, Management Science and Operations Research, Molecular Biology and Artificial Intelligence, having authored 52 papers that have together received 434 indexed citations. Recurring topics across this work include Research Data Management Practices (28 papers), Scientific Computing and Data Management (24 papers), Data Quality and Management (11 papers), Library Collection Development and Digital Resources (5 papers), Digital and Traditional Archives Management (4 papers), Semantic Web and Ontologies (4 papers), Biomedical Text Mining and Ontologies (4 papers) and Library Science and Information Literacy (3 papers). The work is most often cited by research in Information Systems and Management (229 citations), Information Systems (284 citations), Management Science and Operations Research (119 citations), Conservation (32 citations) and Ecological Modeling (27 citations). Andrew Treloar has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Birgit Schmidt, Birgit Gemeinholzer, Adrian Burton, Ross Wilkinson, Michelle Barker, Siddeswara Guru, Lauren C. Houghton, Kun Lai, Euan G. Ritchie and Alison Specht. Their work appears in journals such as Data Science Journal, Learned Publishing, D-Lib Magazine, Future Generation Computer Systems and Education for Information.
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.