Anton van der Vegt
- Health Informatics top 2%
- Artificial Intelligence
- Health Information Management top 5%
- Epidemiology
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Paul LaneIan ScottClair SullivanJason D. PoleSally ShrapnelOliver J. CanfellGuido ZucconBevan Koopman
- Topics
- Machine Learning in Healthcare (7 papers)Artificial Intelligence in Healthcare and Education (7 papers)Electronic Health Records Systems (6 papers)
- Journals
- Journal of Medical Internet ResearchJournal of the American Medical Informatics AssociationThe Medical Journal of Australia
- Partner nations
- AustraliaUnited KingdomCanada
In The Last Decade
Anton van der Vegt
18 papers receiving 189 citations
Peers
Comparison fields: 5 of 71
- Health Informatics 79
- Artificial Intelligence 69
- Health Information Management 41
- Epidemiology 41
- Radiology, Nuclear Medicine and Imaging 23
Countries citing papers authored by Anton van der Vegt
This map shows the geographic impact of Anton van der Vegt'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 Anton van der Vegt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anton van der Vegt more than expected).
Fields of papers citing papers by Anton van der Vegt
This network shows the impact of papers produced by Anton van der Vegt. 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 Anton van der Vegt. The network helps show where Anton van der Vegt may publish in the future.
Co-authorship network of co-authors of Anton van der Vegt
This figure shows the co-authorship network connecting the top 25 collaborators of Anton van der Vegt. A scholar is included among the top collaborators of Anton van der Vegt 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 Anton van der Vegt. Anton van der Vegt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 25 | |
| 8 | 13 | |
| 9 | 16 | |
| 10 | 12 | |
| 11 | 2 | |
| 12 | 9 | |
| 13 | 3 | |
| 14 | 33 | |
| 15 | 32 | |
| 16 | 26 | |
| 17 | 9 | |
| 18 | 4 | |
| 19 | 2 | |
| 20 | 1 |
About Anton van der Vegt
Anton van der Vegt is a scholar working on Health Informatics, Health Information Management and Geriatrics and Gerontology, having authored 22 papers that have together received 193 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (7 papers), Artificial Intelligence in Healthcare and Education (7 papers) and Electronic Health Records Systems (6 papers). The work is most often cited by research in Health Informatics (79 citations), Health Information Management (41 citations) and Family Practice (15 citations). Anton van der Vegt has collaborated with scholars based in Australia, United Kingdom and Canada. Frequent co-authors include Paul Lane, Ian Scott, Clair Sullivan, Jason D. Pole, Sally Shrapnel, Oliver J. Canfell, Guido Zuccon, Bevan Koopman, Farah Magrabi and Steven McPhail. Their work appears in journals such as Journal of Medical Internet Research, Journal of the American Medical Informatics Association and The Medical Journal of Australia.
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.