Petronella Anbeek
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Pediatrics, Perinatology and Child Health top 5%
- Physiology top 10%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Koen L. VinckenJeroen van der GrondMatthias J.P. van OschRobertus H.C. BisschopsFloris GroenendaalBritt J.M. van KooijLinda S. de VriesManon J.N.L. Benders
- Topics
- Neonatal and fetal brain pathology (5 papers)Medical Image Segmentation Techniques (5 papers)Tuberous Sclerosis Complex Research (2 papers)
- Journals
- PLoS ONENeuroImageNeurology
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Petronella Anbeek
14 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 85
- Computer Vision and Pattern Recognition 310
- Radiology, Nuclear Medicine and Imaging 298
- Pediatrics, Perinatology and Child Health 288
- Physiology 237
- Pulmonary and Respiratory Medicine 236
Countries citing papers authored by Petronella Anbeek
This map shows the geographic impact of Petronella Anbeek'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 Petronella Anbeek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Petronella Anbeek more than expected).
Fields of papers citing papers by Petronella Anbeek
This network shows the impact of papers produced by Petronella Anbeek. 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 Petronella Anbeek. The network helps show where Petronella Anbeek may publish in the future.
Co-authorship network of co-authors of Petronella Anbeek
This figure shows the co-authorship network connecting the top 25 collaborators of Petronella Anbeek. A scholar is included among the top collaborators of Petronella Anbeek 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 Petronella Anbeek. Petronella Anbeek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 100 | |
| 2 | 5 | |
| 3 | 52 | |
| 4 | 100 | |
| 5 | 10 | |
| 6 | 52 | |
| 7 | 4 | |
| 8 | 29 | |
| 9 | 73 | |
| 10 | 155 | |
| 11 | 38 | |
| 12 | 171 | |
| 13 | 96 | |
| 14 | 257 |
About Petronella Anbeek
Petronella Anbeek is a scholar working on Neurology, Endocrine and Autonomic Systems and Pediatrics, Perinatology and Child Health, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neonatal and fetal brain pathology (5 papers), Medical Image Segmentation Techniques (5 papers) and Tuberous Sclerosis Complex Research (2 papers). The work is most often cited by research in Neurology (203 citations), Computer Vision and Pattern Recognition (310 citations) and Pediatrics, Perinatology and Child Health (288 citations). Petronella Anbeek has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Koen L. Vincken, Jeroen van der Grond, Matthias J.P. van Osch, Robertus H.C. Bisschops, Floris Groenendaal, Britt J.M. van Kooij, Linda S. de Vries, Manon J.N.L. Benders, Ingrid C. van Haastert and Ale Algra. Their work appears in journals such as PLoS ONE, NeuroImage and 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.