Michael Currie
- Aging top 5%
- Cognitive Neuroscience
- Information Systems
- Cellular and Molecular Neuroscience
- Library and Information Sciences top 2%
- Co-authors
- Padraig GleesonAndrey PalyanovMatteo CantarelliStephen LarsonMichael A. HoggPauline HagelI. MorrisonJim Hokanson
- Topics
- Open Education and E-Learning (3 papers)Genetics, Aging, and Longevity in Model Organisms (3 papers)Mathematics, Computing, and Information Processing (2 papers)
- Journals
- Scientific ReportsPhilosophical Transactions of the Royal Society B Biological SciencesBMC Neuroscience
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Michael Currie
12 papers receiving 209 citations
Peers
Comparison fields: 5 of 68
- Aging 58
- Cognitive Neuroscience 42
- Information Systems 36
- Cellular and Molecular Neuroscience 29
- Library and Information Sciences 29
Countries citing papers authored by Michael Currie
This map shows the geographic impact of Michael Currie'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 Michael Currie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Currie more than expected).
Fields of papers citing papers by Michael Currie
This network shows the impact of papers produced by Michael Currie. 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 Michael Currie. The network helps show where Michael Currie may publish in the future.
Co-authorship network of co-authors of Michael Currie
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Currie. A scholar is included among the top collaborators of Michael Currie based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Currie. Michael Currie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 46 | |
| 4 | 3 | |
| 5 | 78 | |
| 6 | 9 | |
| 7 | 30 | |
| 8 | 5 | |
| 9 | Resource synergy : improving the discovery of quality resources to support and information-dense learning environment | 0 |
| 10 | What is a learning object, technically? | 18 |
| 11 | Managing online resources for teaching and learning | 8 |
| 12 | The EdNA metadata toolsets : a case study | 2 |
| 13 | 19 | |
| 14 | 0 |
About Michael Currie
Michael Currie is a scholar working on Aging, Library and Information Sciences and Computer Science Applications, having authored 14 papers that have together received 227 indexed citations. Recurring topics across this work include Open Education and E-Learning (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers) and Mathematics, Computing, and Information Processing (2 papers). The work is most often cited by research in Aging (58 citations), Library and Information Sciences (29 citations) and Computer Science Applications (24 citations). Michael Currie has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Padraig Gleeson, Andrey Palyanov, Matteo Cantarelli, Stephen Larson, Michael A. Hogg, Pauline Hagel, I. Morrison, Jim Hokanson, M.C. Vella and Balázs Szigeti. Their work appears in journals such as Scientific Reports, Philosophical Transactions of the Royal Society B Biological Sciences and BMC Neuroscience.
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.