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
- Neural Networks and Applications
Papers in
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- X-ray Spectroscopy and Fluorescence Analysis 3
- Nuclear Physics and Applications 2
- Radioactive Decay and Measurement Techniques 2
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- Nuclear physics research studies 4
- Co-authors
- Chen‐Yu Lee (2 shared papers)Zhuowen Tu (2 shared papers)Saining Xie (1 shared paper)Zhengyou Zhang (1 shared paper)Joshua M. Lewis (1 shared paper)Virginia R. de (1 shared paper)Vicente L. Malave (1 shared paper)W. B. Walters (4 shared papers)
- Journals
- Health Physics (1 paper)Machine Learning (1 paper)The European Physical Journal A (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)European Journal of Cancer Supplements (1 paper)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Patrick W. Gallagher
15 papers receiving 723 citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Computer Vision and Pattern Recognition 473
- Artificial Intelligence 280
- Media Technology 63
- Radiology, Nuclear Medicine and Imaging 107
- Neurology 26
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 | 526 |
| 2 | 2017 | 93 | |
| 3 | 2009 | 58 | |
| 4 | 1980 | 9 | |
| 5 | 1976 | 9 | |
| 6 | 1976 | 8 | |
| 7 | 1986 | 7 | |
| 8 | 1988 | 6 | |
| 9 | 1985 | 6 | |
| 10 | Leukotrienes (LTB4 and LTD4): in vitro effects on human lymphocyte proliferation and transformation. | 1984 | 5 |
| 11 | 1980 | 5 | |
| 12 | 1981 | 5 | |
| 13 | A novel infusion method for therapeutic radiopharmaceuticals | 2008 | 2 |
| 14 | 2009 | 1 | |
| 15 | 2004 | 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 741 indexed citations. Recurring topics across this work include Nuclear physics research studies (4 papers), X-ray Spectroscopy and Fluorescence Analysis (3 papers), Radiopharmaceutical Chemistry and Applications (2 papers), Advanced Neural Network Applications (2 papers), Nuclear Physics and Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Radioactive Decay and Measurement Techniques (2 papers) and Cancer Treatment and Pharmacology (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (473 citations), Artificial Intelligence (280 citations), Media Technology (63 citations), Radiology, Nuclear Medicine and Imaging (107 citations) and Neurology (26 citations). Patrick W. Gallagher has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Chen‐Yu Lee, Zhuowen Tu, Saining Xie, Zhengyou Zhang, Joshua M. Lewis, Virginia R. de, Vicente L. Malave, W. B. Walters, Michael R. Zalutsky and Michael A. Noska. Their work appears in journals such as Health Physics, Machine Learning, The European Physical Journal A, IEEE Transactions on Pattern Analysis and Machine Intelligence 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.