Henry C. Woodruff
- Radiology, Nuclear Medicine and Imaging top 0.1%
- Pulmonary and Respiratory Medicine top 1%
- Biomedical Engineering top 2%
- Artificial Intelligence top 1%
- Oncology top 2%
- Co-authors
- Philippe LambinSebastian SanduleanuArthur JochemsJanita E. van TimmerenRalph T. H. LeijenaarFelix M. MottaghyJoachim E. WildbergerEvelyn E.C. de Jong
- Topics
- Radiomics and Machine Learning in Medical Imaging (70 papers)AI in cancer detection (22 papers)Medical Imaging Techniques and Applications (20 papers)
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingPulmonary and Respiratory Medicine
- Partner nations
- NetherlandsGermanyBelgium
In The Last Decade
Henry C. Woodruff
101 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Radiology, Nuclear Medicine and Imaging 5.5k
- Pulmonary and Respiratory Medicine 2.2k
- Biomedical Engineering 1.5k
- Artificial Intelligence 1.1k
- Oncology 1.0k
Countries citing papers authored by Henry C. Woodruff
This map shows the geographic impact of Henry C. Woodruff'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 Henry C. Woodruff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Henry C. Woodruff more than expected).
Fields of papers citing papers by Henry C. Woodruff
This network shows the impact of papers produced by Henry C. Woodruff. 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 Henry C. Woodruff. The network helps show where Henry C. Woodruff may publish in the future.
Co-authorship network of co-authors of Henry C. Woodruff
This figure shows the co-authorship network connecting the top 25 collaborators of Henry C. Woodruff. A scholar is included among the top collaborators of Henry C. Woodruff 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 Henry C. Woodruff. Henry C. Woodruff is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 12 | |
| 10 | 9 | |
| 11 | 4 | |
| 12 | 1 | |
| 13 | 17 | |
| 14 | 26 | |
| 15 | 30 | |
| 16 | 46 | |
| 17 | 116 | |
| 18 | 13 | |
| 19 | 2 | |
| 20 | 35 |
About Henry C. Woodruff
Henry C. Woodruff is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Radiation, having authored 104 papers that have together received 6.8k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (70 papers), AI in cancer detection (22 papers) and Medical Imaging Techniques and Applications (20 papers). The work is most often cited by research in Health Informatics (384 citations), Radiology, Nuclear Medicine and Imaging (5.5k citations) and Pulmonary and Respiratory Medicine (2.2k citations). Henry C. Woodruff has collaborated with scholars based in Netherlands, Germany and Belgium. Frequent co-authors include Philippe Lambin, Sebastian Sanduleanu, Arthur Jochems, Janita E. van Timmeren, Ralph T. H. Leijenaar, Felix M. Mottaghy, Joachim E. Wildberger, Evelyn E.C. de Jong, Jurgen Peerlings and Seán Walsh. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and The Astrophysical Journal.
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.