Jeffrey W. Hoffmeister
- Artificial Intelligence top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Pulmonary and Respiratory Medicine top 10%
- Oncology
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Steven K. RogersMartin P. DeSimioSenthil PeriaswamyRachel F. BremSergei V. FotinEmily F. ConantAlicia Y. ToledanoJocelyn A. Rapelyea
- Topics
- AI in cancer detection (19 papers)Digital Radiography and Breast Imaging (11 papers)Radiomics and Machine Learning in Medical Imaging (7 papers)
- Partner nations
- United StatesSpainBrazil
In The Last Decade
Jeffrey W. Hoffmeister
21 papers receiving 676 citations
Peers
Comparison fields: 5 of 83
- Artificial Intelligence 506
- Radiology, Nuclear Medicine and Imaging 350
- Pulmonary and Respiratory Medicine 263
- Oncology 180
- Computer Vision and Pattern Recognition 142
Countries citing papers authored by Jeffrey W. Hoffmeister
This map shows the geographic impact of Jeffrey W. Hoffmeister'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 Jeffrey W. Hoffmeister with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey W. Hoffmeister more than expected).
Fields of papers citing papers by Jeffrey W. Hoffmeister
This network shows the impact of papers produced by Jeffrey W. Hoffmeister. 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 Jeffrey W. Hoffmeister. The network helps show where Jeffrey W. Hoffmeister may publish in the future.
Co-authorship network of co-authors of Jeffrey W. Hoffmeister
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey W. Hoffmeister. A scholar is included among the top collaborators of Jeffrey W. Hoffmeister 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 Jeffrey W. Hoffmeister. Jeffrey W. Hoffmeister 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 | 1 | |
| 3 | 8 | |
| 4 | 139 | |
| 5 | 32 | |
| 6 | 3 | |
| 7 | 14 | |
| 8 | 67 | |
| 9 | 13 | |
| 10 | 35 | |
| 11 | 12 | |
| 12 | 50 | |
| 13 | 70 | |
| 14 | 9 | |
| 15 | 127 | |
| 16 | 2 | |
| 17 | 37 | |
| 18 | 1 | |
| 19 | 11 | |
| 20 | 24 |
About Jeffrey W. Hoffmeister
Jeffrey W. Hoffmeister is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 22 papers that have together received 708 indexed citations. Recurring topics across this work include AI in cancer detection (19 papers), Digital Radiography and Breast Imaging (11 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). The work is most often cited by research in Health Informatics (44 citations), Artificial Intelligence (506 citations) and Radiology, Nuclear Medicine and Imaging (350 citations). Jeffrey W. Hoffmeister has collaborated with scholars based in United States, Spain and Brazil. Frequent co-authors include Steven K. Rogers, Martin P. DeSimio, Senthil Periaswamy, Rachel F. Brem, Sergei V. Fotin, Emily F. Conant, Alicia Y. Toledano, Jocelyn A. Rapelyea, D.W. Ruck and Ronald T. Raines. Their work appears in journals such as Cancer, Radiology and Journal of Biomechanics.
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.