Marianne Cherrington
- Artificial Intelligence
- Information Systems
- Management Information Systems
- Computer Vision and Pattern Recognition
- General Health Professions
- Co-authors
- David AirehrourJoan LuQiang XuSamaneh MadanianFadi ThabtahDave ParryStephen WadeSteven Wade
- Topics
- Big Data and Business Intelligence (2 papers)Higher Education Practises and Engagement (2 papers)Insurance and Financial Risk Management (2 papers)
- Journals
- Journal of Reliable Intelligent EnvironmentsBMJ Health & Care InformaticsJournal of Telecommunications and the Digital Economy
- Partner nations
- New ZealandUnited Kingdom
In The Last Decade
Marianne Cherrington
17 papers receiving 175 citations
Peers
Comparison fields: 5 of 85
- Artificial Intelligence 67
- Information Systems 31
- Management Information Systems 18
- Computer Vision and Pattern Recognition 18
- General Health Professions 17
Countries citing papers authored by Marianne Cherrington
This map shows the geographic impact of Marianne Cherrington'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 Marianne Cherrington with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marianne Cherrington more than expected).
Fields of papers citing papers by Marianne Cherrington
This network shows the impact of papers produced by Marianne Cherrington. 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 Marianne Cherrington. The network helps show where Marianne Cherrington may publish in the future.
Co-authorship network of co-authors of Marianne Cherrington
This figure shows the co-authorship network connecting the top 25 collaborators of Marianne Cherrington. A scholar is included among the top collaborators of Marianne Cherrington 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 Marianne Cherrington. Marianne Cherrington 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 | The digital asset management microcosm: a high-dimensional New Zealand view | 3 |
| 3 | 1 | |
| 4 | 0 | |
| 5 | Deep learning for sustainable asset management decision-making | 5 |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 7 | |
| 12 | 2 | |
| 13 | 5 | |
| 14 | 6 | |
| 15 | Innovative models and partnership contribution for sustainable economic growth | 2 |
| 16 | 4 | |
| 17 | 55 | |
| 18 | 9 | |
| 19 | 73 | |
| 20 | 5 |
About Marianne Cherrington
Marianne Cherrington is a scholar working on Health Information Management, General Social Sciences and Accounting, having authored 27 papers that have together received 229 indexed citations. Recurring topics across this work include Big Data and Business Intelligence (2 papers), Higher Education Practises and Engagement (2 papers) and Insurance and Financial Risk Management (2 papers). The work is most often cited by research in Health Informatics (8 citations), Health Information Management (14 citations) and Artificial Intelligence (67 citations). Marianne Cherrington has collaborated with scholars based in New Zealand and United Kingdom. Frequent co-authors include David Airehrour, Joan Lu, Qiang Xu, Samaneh Madanian, Fadi Thabtah, Dave Parry, Stephen Wade, Steven Wade, Rajeev Chawla and Farhad Mehdipour. Their work appears in journals such as Journal of Reliable Intelligent Environments, BMJ Health & Care Informatics and Journal of Telecommunications and the Digital Economy.
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.