James Lucas
Impact in
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- Advanced Neural Network Applications
- Generative Adversarial Networks and Image Synthesis
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- Adversarial Robustness in Machine Learning
- Anomaly Detection Techniques and Applications
- Domain Adaptation and Few-Shot Learning
- Machine Learning and Data Classification
Papers in
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- Adversarial Robustness in Machine Learning 4
- Domain Adaptation and Few-Shot Learning 2
- Natural Language Processing Techniques 1
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- GNSS positioning and interference 2
- Co-authors
- Michael R. Zhang (1 shared paper)Geoffrey E. Hinton (1 shared paper)Jimmy Ba (1 shared paper)Roger Grosse (4 shared papers)Mohammad Norouzi (1 shared paper)George Tucker (1 shared paper)Gerald L. Mader (2 shared papers)Joern-Henrik Jacobsen (1 shared paper)
- Journals
- ISPRS Journal of Photogrammetry and Remote Sensing (1 paper)Journal of Geophysical Research Atmospheres (1 paper)Journal of Surveying Engineering (1 paper)Ground Water (1 paper)Journal of Geodesy (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
James Lucas
15 papers receiving 172 citations
Peers
Comparison fields: 5 of 67
- Computer Vision and Pattern Recognition 66
- Artificial Intelligence 82
- Geology 7
- Oceanography 15
- Signal Processing 13
Countries citing papers authored by James Lucas
This map shows the geographic impact of James Lucas'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 James Lucas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Lucas more than expected).
Fields of papers citing papers by James Lucas
This network shows the impact of papers produced by James Lucas. 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 James Lucas. The network helps show where James Lucas may publish in the future.
Co-authors
The 25 scholars most cited alongside James Lucas, 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 | Lookahead Optimizer: k steps forward, 1 step back | 2019 | 63 |
| 2 | Understanding Posterior Collapse in Generative Latent Variable Models | 2019 | 40 |
| 3 | 2022 | 15 | |
| 4 | 1998 | 13 | |
| 5 | 2019 | 12 | |
| 6 | 1989 | 10 | |
| 7 | 1998 | 7 | |
| 8 | 2021 | 6 | |
| 9 | Experiment S-213 selenocentric geodetic reference system | 1976 | 5 |
| 10 | 1989 | 4 | |
| 11 | Adversarial Distillation of Bayesian Neural Network Posteriors | 2018 | 3 |
| 12 | 1984 | 3 | |
| 13 | Results of photogrammetric control densification in Ada County, Idaho | 1981 | 2 |
| 14 | 1989 | 2 | |
| 15 | 1989 | 1 | |
| 16 | Regularized linear autoencoders recover the principal components, eventually | 2020 | 1 |
| 17 | Land classification of south-central Iowa from computer enhanced images | 1975 | 1 |
| 18 | Refinement of Positioning Software (DOPPLR) | 1979 | 1 |
About James Lucas
James Lucas is a scholar working on Artificial Intelligence, Aerospace Engineering, Computer Vision and Pattern Recognition, Ecology and Atmospheric Science, having authored 18 papers that have together received 189 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (4 papers), Behavioral and Psychological Studies (2 papers), GNSS positioning and interference (2 papers), Advanced Neural Network Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Remote Sensing in Agriculture (2 papers), Regional Economic and Spatial Analysis (1 paper) and Natural Language Processing Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (66 citations), Artificial Intelligence (82 citations), Geology (7 citations), Oceanography (15 citations) and Signal Processing (13 citations). James Lucas has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Michael R. Zhang, Geoffrey E. Hinton, Jimmy Ba, Roger Grosse, Mohammad Norouzi, George Tucker, Gerald L. Mader, Joern-Henrik Jacobsen, Qiyang Li and Jonah Philion. Their work appears in journals such as ISPRS Journal of Photogrammetry and Remote Sensing, Journal of Geophysical Research Atmospheres, Journal of Surveying Engineering, Ground Water and Journal of Geodesy.
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.