Edo Collins
Impact in
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- Generative Adversarial Networks and Image Synthesis
- Advanced Neural Network Applications
- Face recognition and analysis
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- Explainable Artificial Intelligence (XAI)
- Stochastic Gradient Optimization Techniques
- Adversarial Robustness in Machine Learning
Papers in
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- Generative Adversarial Networks and Image Synthesis 2
- Advanced Neural Network Applications 2
- Image Retrieval and Classification Techniques 1
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- Stochastic Gradient Optimization Techniques 2
- Co-authors
- Sabine E. Susstrunk (6 shared papers)Raja Bala (1 shared paper)Bob Price (1 shared paper)Radhakrishna Achanta (2 shared papers)Frédé́ric Kaplan (1 shared paper)Mathias Soeken (1 shared paper)Winston Haaswijk (1 shared paper)Lawrence Carin (2 shared papers)
- Journals
- IEEE Journal of Selected Topics in Signal Processing (1 paper)Lecture notes in computer science (2 papers)IEEE International Symposium on Circuits and Systems proceedings (1 paper)Infoscience (Ecole Polytechnique Fédérale de Lausanne) (1 paper)IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings (1 paper)
- Partner nations
- SwitzerlandUnited States
In The Last Decade
Edo Collins
9 papers receiving 385 citations
Peers
Comparison fields: 5 of 23
- Computer Vision and Pattern Recognition 226
- Artificial Intelligence 45
- Hardware and Architecture 7
- Electrical and Electronic Engineering 38
- Computational Mechanics 12
Countries citing papers authored by Edo Collins
This map shows the geographic impact of Edo Collins'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 Edo Collins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edo Collins more than expected).
Fields of papers citing papers by Edo Collins
This network shows the impact of papers produced by Edo Collins. 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 Edo Collins. The network helps show where Edo Collins may publish in the future.
Co-authors
The 14 scholars most cited alongside Edo Collins, 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 | 2020 | 206 | |
| 2 | 2018 | 63 | |
| 3 | 2018 | 62 | |
| 4 | 2017 | 20 | |
| 5 | Preconditioned Spectral Descent for Deep Learning | 2015 | 14 |
| 6 | 2015 | 14 | |
| 7 | 2018 | 8 | |
| 8 | 2019 | 6 | |
| 9 | 2023 | 3 |
About Edo Collins
Edo Collins is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 9 papers that have together received 396 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (2 papers), Advanced Neural Network Applications (2 papers), Stochastic Gradient Optimization Techniques (2 papers), VLSI and FPGA Design Techniques (1 paper) and Image Retrieval and Classification Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (226 citations), Artificial Intelligence (45 citations), Hardware and Architecture (7 citations), Electrical and Electronic Engineering (38 citations) and Computational Mechanics (12 citations). Edo Collins has collaborated with scholars based in Switzerland and United States. Frequent co-authors include Sabine E. Susstrunk, Raja Bala, Bob Price, Radhakrishna Achanta, Frédé́ric Kaplan, Mathias Soeken, Winston Haaswijk, Lawrence Carin, David Carlson and Volkan Cevher. Their work appears in journals such as IEEE Journal of Selected Topics in Signal Processing, Lecture notes in computer science, IEEE International Symposium on Circuits and Systems proceedings, Infoscience (Ecole Polytechnique Fédérale de Lausanne) and IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings.
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.