Trina Myers
- Education top 10%
- Information Systems
- Artificial Intelligence
- Computer Networks and Communications
- General Health Professions
- Co-authors
- Ian AtkinsonJarrod TrevathanRon JohnstoneWayne ReadRichard MonypennyTom H. StevensSusan M. TheissNeil Bergmann
- Topics
- Scientific Computing and Data Management (10 papers)Semantic Web and Ontologies (8 papers)Environmental Monitoring and Data Management (7 papers)
- Partner nations
- AustraliaUnited StatesDenmark
In The Last Decade
Trina Myers
48 papers receiving 331 citations
Peers
Comparison fields: 5 of 105
- Education 61
- Information Systems 43
- Artificial Intelligence 43
- Computer Networks and Communications 39
- General Health Professions 38
Countries citing papers authored by Trina Myers
This map shows the geographic impact of Trina Myers'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 Trina Myers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Trina Myers more than expected).
Fields of papers citing papers by Trina Myers
This network shows the impact of papers produced by Trina Myers. 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 Trina Myers. The network helps show where Trina Myers may publish in the future.
Co-authorship network of co-authors of Trina Myers
This figure shows the co-authorship network connecting the top 25 collaborators of Trina Myers. A scholar is included among the top collaborators of Trina Myers 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 Trina Myers. Trina Myers 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 | 2 | |
| 3 | 38 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 14 | |
| 8 | Academagogy for enhancing adult online learner engagement in higher education | 1 |
| 9 | 2 | |
| 10 | 14 | |
| 11 | 25 | |
| 12 | 4 | |
| 13 | 3 | |
| 14 | 3 | |
| 15 | 1 | |
| 16 | Linked data for cross-disciplinary collaboration cohort discovery | 3 |
| 17 | 1 | |
| 18 | 2 | |
| 19 | 49 | |
| 20 | Supporting coral reef ecosystems research through modelling re-usable ontologies | 1 |
About Trina Myers
Trina Myers is a scholar working on Information Systems and Management, Geology and Human-Computer Interaction, having authored 50 papers that have together received 354 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (10 papers), Semantic Web and Ontologies (8 papers) and Environmental Monitoring and Data Management (7 papers). The work is most often cited by research in Geology (27 citations), Human-Computer Interaction (25 citations) and Information Systems and Management (26 citations). Trina Myers has collaborated with scholars based in Australia, United States and Denmark. Frequent co-authors include Ian Atkinson, Jarrod Trevathan, Ron Johnstone, Wayne Read, Richard Monypenny, Tom H. Stevens, Susan M. Theiss, Neil Bergmann, Heather Gray and Anna Blackman. Their work appears in journals such as IEEE Access, Sensors and Journal of Autism and Developmental Disorders.
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.