Patrick W. Gallagher
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Face and Expression Recognition
- Medical Image Segmentation Techniques
- Human Pose and Action Recognition
- Artificial Intelligence top 5%
- Domain Adaptation and Few-Shot Learning
- AI in cancer detection
Papers in
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- X-ray Spectroscopy and Fluorescence Analysis 3
- Radioactive Decay and Measurement Techniques 2
- Nuclear Physics and Applications 2
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- Nuclear physics research studies 4
- Co-authors
- Zhuowen Tu (2 shared papers)Chen‐Yu Lee (2 shared papers)Zhengyou Zhang (1 shared paper)Saining Xie (1 shared paper)Joshua M. Lewis (1 shared paper)Vicente L. Malave (1 shared paper)Virginia R. de (1 shared paper)W. B. Walters (4 shared papers)
- Journals
- The European Physical Journal A (1 paper)Health Physics (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Machine Learning (1 paper)European Journal of Cancer Supplements (1 paper)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Patrick W. Gallagher
15 papers receiving 819 citations
Patrick W. Gallagher's Hit Papers
Peers
Comparison fields: 5 of 96
- Computer Vision and Pattern Recognition 534
- Artificial Intelligence 320
- Media Technology 72
- Radiology, Nuclear Medicine and Imaging 119
- Neurology 30
Countries citing papers authored by Patrick W. Gallagher
This map shows the geographic impact of Patrick W. Gallagher'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 Patrick W. Gallagher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick W. Gallagher more than expected).
Fields of papers citing papers by Patrick W. Gallagher
This network shows the impact of papers produced by Patrick W. Gallagher. 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 Patrick W. Gallagher. The network helps show where Patrick W. Gallagher may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick W. Gallagher, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Deeply-Supervised Nets Hit paper breakdown → | 2015 | 605 |
| 2 | 2017 | 101 | |
| 3 | 2009 | 63 | |
| 4 | 1976 | 10 | |
| 5 | 1980 | 9 | |
| 6 | 1985 | 8 | |
| 7 | 1976 | 8 | |
| 8 | 1988 | 7 | |
| 9 | 1986 | 7 | |
| 10 | 1980 | 6 | |
| 11 | 1981 | 5 | |
| 12 | Leukotrienes (LTB4 and LTD4): in vitro effects on human lymphocyte proliferation and transformation. | 1984 | 5 |
| 13 | 2004 | 2 | |
| 14 | A novel infusion method for therapeutic radiopharmaceuticals | 2008 | 2 |
| 15 | 2009 | 1 |
About Patrick W. Gallagher
Patrick W. Gallagher is a scholar working on Radiation, Nuclear and High Energy Physics, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Atomic and Molecular Physics, and Optics, having authored 15 papers that have together received 839 indexed citations. Recurring topics across this work include Nuclear physics research studies (4 papers), X-ray Spectroscopy and Fluorescence Analysis (3 papers), Advanced Neural Network Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Radioactive Decay and Measurement Techniques (2 papers), Nuclear Physics and Applications (2 papers), Radiopharmaceutical Chemistry and Applications (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (534 citations), Artificial Intelligence (320 citations), Media Technology (72 citations), Radiology, Nuclear Medicine and Imaging (119 citations) and Neurology (30 citations). Patrick W. Gallagher has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Zhuowen Tu, Chen‐Yu Lee, Zhengyou Zhang, Saining Xie, Joshua M. Lewis, Vicente L. Malave, Virginia R. de, W. B. Walters, Michael R. Zalutsky and Michael A. Noska. Their work appears in journals such as The European Physical Journal A, Health Physics, IEEE Transactions on Pattern Analysis and Machine Intelligence, Machine Learning and European Journal of Cancer Supplements.
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.