Elizabeth H. Dibble
- Radiology, Nuclear Medicine and Imaging top 5%
- Pulmonary and Respiratory Medicine top 10%
- Oncology
- Surgery
- Artificial Intelligence top 10%
- Co-authors
- Gustavo MercierRathan M. SubramaniamGrayson L. BairdAna P. LourençoE. Francis CookMichael A. HauserCory T. MillerRobert C. Ward
- Topics
- Radiology practices and education (16 papers)Medical Imaging Techniques and Applications (11 papers)Radiomics and Machine Learning in Medical Imaging (10 papers)
- Partner nations
- United StatesNetherlandsPortugal
In The Last Decade
Elizabeth H. Dibble
52 papers receiving 987 citations
Peers
Comparison fields: 5 of 97
- Radiology, Nuclear Medicine and Imaging 406
- Pulmonary and Respiratory Medicine 229
- Oncology 190
- Surgery 157
- Artificial Intelligence 111
Countries citing papers authored by Elizabeth H. Dibble
This map shows the geographic impact of Elizabeth H. Dibble'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 Elizabeth H. Dibble with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elizabeth H. Dibble more than expected).
Fields of papers citing papers by Elizabeth H. Dibble
This network shows the impact of papers produced by Elizabeth H. Dibble. 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 Elizabeth H. Dibble. The network helps show where Elizabeth H. Dibble may publish in the future.
Co-authorship network of co-authors of Elizabeth H. Dibble
This figure shows the co-authorship network connecting the top 25 collaborators of Elizabeth H. Dibble. A scholar is included among the top collaborators of Elizabeth H. Dibble 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 Elizabeth H. Dibble. Elizabeth H. Dibble 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 | 22 | |
| 3 | 30 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 52 | |
| 8 | 12 | |
| 9 | 34 | |
| 10 | 10 | |
| 11 | 0 | |
| 12 | 9 | |
| 13 | 1 | |
| 14 | 19 | |
| 15 | 5 | |
| 16 | 34 | |
| 17 | 5 | |
| 18 | 7 | |
| 19 | 2 | |
| 20 | 193 |
About Elizabeth H. Dibble
Elizabeth H. Dibble is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Emergency Medicine, having authored 59 papers that have together received 998 indexed citations. Recurring topics across this work include Radiology practices and education (16 papers), Medical Imaging Techniques and Applications (11 papers) and Radiomics and Machine Learning in Medical Imaging (10 papers). The work is most often cited by research in Health Informatics (48 citations), Otorhinolaryngology (80 citations) and Radiology, Nuclear Medicine and Imaging (406 citations). Elizabeth H. Dibble has collaborated with scholars based in United States, Netherlands and Portugal. Frequent co-authors include Gustavo Mercier, Rathan M. Subramaniam, Grayson L. Baird, Ana P. Lourenço, E. Francis Cook, Michael A. Hauser, Cory T. Miller, Robert C. Ward, Dimitrios Karantanis and Patrick J. Peller. Their work appears in journals such as Journal of Clinical Oncology, Nature Neuroscience and Clinical Infectious Diseases.
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.