Marieke van Buchem
- Psychiatry and Mental health top 10%
- Physiology
- General Health Professions
- Public Health, Environmental and Occupational Health
- Health Informatics top 2%
- Co-authors
- Ilse KantEwout W. SteyerbergHileen BoosmanMartijn P. BauerTina Hernandez‐BoussardWiesje M. van der FlierPhilip ScheltensFemke H. Bouwman
- Topics
- Machine Learning in Healthcare (3 papers)Dementia and Cognitive Impairment Research (3 papers)Mental Health via Writing (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American Medical Informatics AssociationJAMA Neurology
- Partner nations
- NetherlandsUnited StatesSwitzerland
In The Last Decade
Marieke van Buchem
12 papers receiving 365 citations
Peers
Comparison fields: 5 of 81
- Psychiatry and Mental health 130
- Physiology 85
- General Health Professions 68
- Public Health, Environmental and Occupational Health 68
- Health Informatics 66
Countries citing papers authored by Marieke van Buchem
This map shows the geographic impact of Marieke van Buchem'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 Marieke van Buchem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marieke van Buchem more than expected).
Fields of papers citing papers by Marieke van Buchem
This network shows the impact of papers produced by Marieke van Buchem. 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 Marieke van Buchem. The network helps show where Marieke van Buchem may publish in the future.
Co-authorship network of co-authors of Marieke van Buchem
This figure shows the co-authorship network connecting the top 25 collaborators of Marieke van Buchem. A scholar is included among the top collaborators of Marieke van Buchem 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 Marieke van Buchem. Marieke van Buchem 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 | 10 | |
| 3 | 7 | |
| 4 | 20 | |
| 5 | 23 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | Natural Language Processing Methods to Identify Oncology Patients at High Risk for Acute Care with Clinical Notes. | 7 |
| 10 | 23 | |
| 11 | 19 | |
| 12 | 82 | |
| 13 | 40 | |
| 14 | 46 | |
| 15 | 95 |
About Marieke van Buchem
Marieke van Buchem is a scholar working on Health Informatics, Issues, ethics and legal aspects and Health Information Management, having authored 15 papers that have together received 374 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (3 papers), Dementia and Cognitive Impairment Research (3 papers) and Mental Health via Writing (3 papers). The work is most often cited by research in Health Informatics (66 citations), Health Information Management (50 citations) and Psychiatry and Mental health (130 citations). Marieke van Buchem has collaborated with scholars based in Netherlands, United States and Switzerland. Frequent co-authors include Ilse Kant, Ewout W. Steyerberg, Hileen Boosman, Martijn P. Bauer, Tina Hernandez‐Boussard, Wiesje M. van der Flier, Philip Scheltens, Femke H. Bouwman, Frederik Barkhof and Andrew Stephens. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Medical Informatics Association and JAMA Neurology.
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.