Michel E. van Genderen
- Surgery top 5%
- Critical Care and Intensive Care Medicine top 1%
- Epidemiology top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Health Informatics top 0.5%
- Co-authors
- Jasper van BommelDiederik GommersJan BakkerAlexandre LimaDavy van de SandeEva KlijnJoost HuiskensJohan H. Vlake
- Topics
- Artificial Intelligence in Healthcare and Education (16 papers)Hemodynamic Monitoring and Therapy (14 papers)Intensive Care Unit Cognitive Disorders (12 papers)
- Cited by
- Health InformaticsCritical Care and Intensive Care MedicineRadiological and Ultrasound Technology
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Michel E. van Genderen
62 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 112
- Surgery 539
- Critical Care and Intensive Care Medicine 356
- Epidemiology 349
- Cardiology and Cardiovascular Medicine 259
- Health Informatics 181
Countries citing papers authored by Michel E. van Genderen
This map shows the geographic impact of Michel E. van Genderen'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 Michel E. van Genderen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michel E. van Genderen more than expected).
Fields of papers citing papers by Michel E. van Genderen
This network shows the impact of papers produced by Michel E. van Genderen. 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 Michel E. van Genderen. The network helps show where Michel E. van Genderen may publish in the future.
Co-authorship network of co-authors of Michel E. van Genderen
This figure shows the co-authorship network connecting the top 25 collaborators of Michel E. van Genderen. A scholar is included among the top collaborators of Michel E. van Genderen 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 Michel E. van Genderen. Michel E. van Genderen 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 | 1 | |
| 3 | 9 | |
| 4 | 8 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 14 | |
| 9 | 5 | |
| 10 | 5 | |
| 11 | 46 | |
| 12 | 15 | |
| 13 | 4 | |
| 14 | 10 | |
| 15 | 63 | |
| 16 | 6 | |
| 17 | 41 | |
| 18 | 45 | |
| 19 | 6 | |
| 20 | 77 |
About Michel E. van Genderen
Michel E. van Genderen is a scholar working on Health Informatics, Critical Care and Intensive Care Medicine and Radiological and Ultrasound Technology, having authored 65 papers that have together received 1.3k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (16 papers), Hemodynamic Monitoring and Therapy (14 papers) and Intensive Care Unit Cognitive Disorders (12 papers). The work is most often cited by research in Health Informatics (181 citations), Critical Care and Intensive Care Medicine (356 citations) and Radiological and Ultrasound Technology (108 citations). Michel E. van Genderen has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Jasper van Bommel, Diederik Gommers, Jan Bakker, Alexandre Lima, Davy van de Sande, Eva Klijn, Joost Huiskens, Alexandre Lima, Johan H. Vlake and Evert‐Jan Wils. Their work appears in journals such as JAMA, SHILAP Revista de lepidopterología and PLoS ONE.
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.