Anne de Hond
- Cardiology and Cardiovascular Medicine top 10%
- Surgery
- Artificial Intelligence top 10%
- Health Informatics top 0.5%
- Epidemiology
- Co-authors
- Ewout W. SteyerbergBen Van CalsterIlse KantWouter WielingArend J. DunningJ. F. van BrederodeC. BorstMaarten van Smeden
- Topics
- Machine Learning in Healthcare (9 papers)Artificial Intelligence in Healthcare and Education (7 papers)Health Systems, Economic Evaluations, Quality of Life (4 papers)
- Partner nations
- NetherlandsUnited StatesSwitzerland
In The Last Decade
Anne de Hond
25 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Cardiology and Cardiovascular Medicine 242
- Surgery 206
- Artificial Intelligence 181
- Health Informatics 163
- Epidemiology 150
Countries citing papers authored by Anne de Hond
This map shows the geographic impact of Anne de Hond'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 Anne de Hond with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne de Hond more than expected).
Fields of papers citing papers by Anne de Hond
This network shows the impact of papers produced by Anne de Hond. 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 Anne de Hond. The network helps show where Anne de Hond may publish in the future.
Co-authorship network of co-authors of Anne de Hond
This figure shows the co-authorship network connecting the top 25 collaborators of Anne de Hond. A scholar is included among the top collaborators of Anne de Hond 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 Anne de Hond. Anne de Hond is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 10 | |
| 9 | 7 | |
| 10 | 21 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping reviewbreakdown → | 279 |
| 15 | Interpreting area under the receiver operating characteristic curvebreakdown → | 233 |
| 16 | 26 | |
| 17 | 17 | |
| 18 | 41 | |
| 19 | 4 | |
| 20 | 14 |
About Anne de Hond
Anne de Hond is a scholar working on Health Informatics, Health Information Management and Neuropsychology and Physiological Psychology, having authored 30 papers that have together received 1.1k indexed citations. Recurring topics across this work include Machine Learning in Healthcare (9 papers), Artificial Intelligence in Healthcare and Education (7 papers) and Health Systems, Economic Evaluations, Quality of Life (4 papers). The work is most often cited by research in Health Informatics (163 citations), Health Information Management (80 citations) and Cardiology and Cardiovascular Medicine (242 citations). Anne de Hond has collaborated with scholars based in Netherlands, United States and Switzerland. Frequent co-authors include Ewout W. Steyerberg, Ben Van Calster, Ilse Kant, Wouter Wieling, Arend J. Dunning, J. F. van Brederode, C. Borst, Maarten van Smeden, Hendrikus J. A. van Os and Niels H. Chavannes. Their work appears in journals such as Scientific Reports, Social Science & Medicine and Critical Care Medicine.
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.