Elisabeth Pfaehler
- Radiology, Nuclear Medicine and Imaging top 2%
- Pulmonary and Respiratory Medicine top 10%
- Biomedical Engineering
- Pathology and Forensic Medicine top 10%
- Oncology
- Co-authors
- Ronald BoellaardJohan R. de JongOtto S. HoekstraTim van de BrugJosée M. ZijlstraAlex ZwanenburgRudi DierckxSanne E. Wiegers
- Topics
- Radiomics and Machine Learning in Medical Imaging (26 papers)Medical Imaging Techniques and Applications (15 papers)Advanced X-ray and CT Imaging (14 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingHealth InformaticsPulmonary and Respiratory Medicine
- Journals
- BloodPLoS ONEScientific Reports
- Partner nations
- NetherlandsGermanyUnited States
In The Last Decade
Elisabeth Pfaehler
28 papers receiving 717 citations
Peers
Comparison fields: 5 of 55
- Radiology, Nuclear Medicine and Imaging 649
- Pulmonary and Respiratory Medicine 252
- Biomedical Engineering 186
- Pathology and Forensic Medicine 128
- Oncology 105
Countries citing papers authored by Elisabeth Pfaehler
This map shows the geographic impact of Elisabeth Pfaehler'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 Elisabeth Pfaehler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elisabeth Pfaehler more than expected).
Fields of papers citing papers by Elisabeth Pfaehler
This network shows the impact of papers produced by Elisabeth Pfaehler. 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 Elisabeth Pfaehler. The network helps show where Elisabeth Pfaehler may publish in the future.
Co-authorship network of co-authors of Elisabeth Pfaehler
This figure shows the co-authorship network connecting the top 25 collaborators of Elisabeth Pfaehler. A scholar is included among the top collaborators of Elisabeth Pfaehler 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 Elisabeth Pfaehler. Elisabeth Pfaehler 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 | 0 | |
| 3 | 6 | |
| 4 | 0 | |
| 5 | 9 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 63 | |
| 11 | 90 | |
| 12 | 21 | |
| 13 | 31 | |
| 14 | 18 | |
| 15 | 103 | |
| 16 | Experimental Multicenter And Multivendor Evaluation Of Pet Radiomic Features Performance Using 3d Printed Phantom Inserts | 2 |
| 17 | 26 | |
| 18 | 65 | |
| 19 | 64 | |
| 20 | 16 |
About Elisabeth Pfaehler
Elisabeth Pfaehler is a scholar working on Radiology, Nuclear Medicine and Imaging, Equine and Biomedical Engineering, having authored 31 papers that have together received 721 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (26 papers), Medical Imaging Techniques and Applications (15 papers) and Advanced X-ray and CT Imaging (14 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (649 citations), Health Informatics (21 citations) and Pulmonary and Respiratory Medicine (252 citations). Elisabeth Pfaehler has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Ronald Boellaard, Johan R. de Jong, Otto S. Hoekstra, Tim van de Brug, Josée M. Zijlstra, Alex Zwanenburg, Rudi Dierckx, Sanne E. Wiegers, Jakoba J. Eertink and Pieternella J. Lugtenburg. Their work appears in journals such as Blood, PLoS ONE and Scientific Reports.
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.