Greg Slabaugh
Impact in
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- Medical Image Segmentation Techniques
- Advanced Image Processing Techniques
- Advanced Vision and Imaging
- Image Enhancement Techniques
- Health Informatics top 2%
Papers in
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- Medical Image Segmentation Techniques 61
- Advanced Vision and Imaging 18
- Advanced Image Processing Techniques 14
- Image Enhancement Techniques 11
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- Computer Graphics and Visualization Techniques 9
- Co-authors
- Aleš Leonardis (9 shared papers)Sarah Parisot (6 shared papers)Tinne Tuytelaars (3 shared papers)Xu Jia (3 shared papers)Gözde Ünal (26 shared papers)Xujiong Ye (18 shared papers)Marc Masana (1 shared paper)Rahaf Aljundi (1 shared paper)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (4 papers)IEEE Transactions on Biomedical Engineering (4 papers)Lecture notes in computer science (33 papers)Frontiers in Cardiovascular Medicine (3 papers)Medical Physics (2 papers)
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
Greg Slabaugh
186 papers receiving 6k citations
Greg Slabaugh's Hit Papers
Peers
Comparison fields: 5 of 141
- Computer Vision and Pattern Recognition 2.7k
- Health Informatics 119
- Artificial Intelligence 1.4k
- Computer Graphics and Computer-Aided Design 164
- Radiology, Nuclear Medicine and Imaging 732
Countries citing papers authored by Greg Slabaugh
This map shows the geographic impact of Greg Slabaugh'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 Greg Slabaugh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Greg Slabaugh more than expected).
Fields of papers citing papers by Greg Slabaugh
This network shows the impact of papers produced by Greg Slabaugh. 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 Greg Slabaugh. The network helps show where Greg Slabaugh may publish in the future.
Co-authors
The 25 scholars most cited alongside Greg Slabaugh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 204 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A continual learning survey: Defying forgetting in classification tasks Hit paper breakdown → | 2021 | 1223 |
| 2 | DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction Hit paper breakdown → | 2017 | 819 |
| 3 | 2009 | 253 | |
| 4 | 2020 | 195 | |
| 5 | 2020 | 159 | |
| 6 | 2001 | 143 | |
| 7 | 2020 | 121 | |
| 8 | 2008 | 120 | |
| 9 | 2000 | 118 | |
| 10 | 2017 | 96 | |
| 11 | 2018 | 94 | |
| 12 | 2005 | 93 | |
| 13 | 2002 | 92 | |
| 14 | 2012 | 91 | |
| 15 | 2020 | 89 | |
| 16 | 2002 | 81 | |
| 17 | 2010 | 79 | |
| 18 | 2023 | 75 | |
| 19 | 2004 | 72 | |
| 20 | 2020 | 72 |
About Greg Slabaugh
Greg Slabaugh is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Mechanics, Radiology, Nuclear Medicine and Imaging and Biophysics, having authored 204 papers that have together received 6.2k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (61 papers), Advanced Vision and Imaging (18 papers), 3D Shape Modeling and Analysis (17 papers), Advanced Image Processing Techniques (14 papers), Medical Imaging and Analysis (13 papers), Colorectal Cancer Screening and Detection (12 papers), Image Enhancement Techniques (11 papers) and Computer Graphics and Visualization Techniques (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.7k citations), Health Informatics (119 citations), Artificial Intelligence (1.4k citations), Computer Graphics and Computer-Aided Design (164 citations) and Radiology, Nuclear Medicine and Imaging (732 citations). Greg Slabaugh has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Aleš Leonardis, Sarah Parisot, Tinne Tuytelaars, Xu Jia, Gözde Ünal, Xujiong Ye, Marc Masana, Rahaf Aljundi, Eduardo Alonso and Guang Zhong Yang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Biomedical Engineering, Lecture notes in computer science, Frontiers in Cardiovascular Medicine and Medical Physics.
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.