M. Patricia Braeuning
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Pulmonary and Respiratory Medicine top 10%
- Media Technology top 2%
- Co-authors
- Etta D. PisanoBradley M. HemmingerKeith E. MullerRichard JohnstonStephen M. PizerElodia B. ColeCherie M. KuzmiakRuth Walsh
- Topics
- Digital Radiography and Breast Imaging (14 papers)AI in cancer detection (10 papers)Breast Lesions and Carcinomas (8 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyRadiology, Nuclear Medicine and Imaging
- Partner nations
- United StatesCanadaAustria
In The Last Decade
M. Patricia Braeuning
21 papers receiving 856 citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Computer Vision and Pattern Recognition 381
- Artificial Intelligence 291
- Radiology, Nuclear Medicine and Imaging 283
- Pulmonary and Respiratory Medicine 242
- Media Technology 161
Countries citing papers authored by M. Patricia Braeuning
This map shows the geographic impact of M. Patricia Braeuning'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 M. Patricia Braeuning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Patricia Braeuning more than expected).
Fields of papers citing papers by M. Patricia Braeuning
This network shows the impact of papers produced by M. Patricia Braeuning. 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 M. Patricia Braeuning. The network helps show where M. Patricia Braeuning may publish in the future.
Co-authorship network of co-authors of M. Patricia Braeuning
This figure shows the co-authorship network connecting the top 25 collaborators of M. Patricia Braeuning. A scholar is included among the top collaborators of M. Patricia Braeuning 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 M. Patricia Braeuning. M. Patricia Braeuning is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 39 | |
| 2 | 25 | |
| 3 | 56 | |
| 4 | 72 | |
| 5 | 24 | |
| 6 | 47 | |
| 7 | 18 | |
| 8 | 9 | |
| 9 | 0 | |
| 10 | 4 | |
| 11 | Contrast Limited Adaptive Histogram Equalization image processing to improve the detection of simulated spiculations in dense mammogramsbreakdown → | 515 |
| 12 | 19 | |
| 13 | 17 | |
| 14 | 17 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 3 | |
| 18 | 8 | |
| 19 | 7 | |
| 20 | 3 |
About M. Patricia Braeuning
M. Patricia Braeuning is a scholar working on Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Artificial Intelligence, having authored 22 papers that have together received 905 indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (14 papers), AI in cancer detection (10 papers) and Breast Lesions and Carcinomas (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (381 citations), Media Technology (161 citations) and Radiology, Nuclear Medicine and Imaging (283 citations). M. Patricia Braeuning has collaborated with scholars based in United States, Canada and Austria. Frequent co-authors include Etta D. Pisano, Bradley M. Hemminger, Keith E. Muller, Richard Johnston, Stephen M. Pizer, Elodia B. Cole, Cherie M. Kuzmiak, Ruth Walsh, Mary Brown and Emily O. Kistner. Their work appears in journals such as Radiology, American Journal of Roentgenology and Radiographics.
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.