Edo Collins
Impact in
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- Generative Adversarial Networks and Image Synthesis
- Face recognition and analysis
- Advanced Image Processing Techniques
- Advanced Neural Network Applications
- Advanced Vision and Imaging
- Digital Media Forensic Detection
- Advanced Image and Video Retrieval Techniques
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- Computer Graphics and Visualization Techniques
Papers in
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- Generative Adversarial Networks and Image Synthesis 4
- Advanced Image and Video Retrieval Techniques 1
- Image Retrieval and Classification Techniques 1
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- Computer Graphics and Visualization Techniques 2
- Co-authors
- Sabine E. Susstrunk (5 shared papers)Raja Bala (1 shared paper)Bob Price (1 shared paper)Radhakrishna Achanta (2 shared papers)Mathias Soeken (1 shared paper)Benoît Séguin (1 shared paper)Giovanni De Micheli (1 shared paper)Winston Haaswijk (1 shared paper)
- Journals
- IEEE Journal of Selected Topics in Signal Processing (1 paper)Lecture notes in computer science (2 papers)Infoscience (Ecole Polytechnique Fédérale de Lausanne) (5 papers)
- Partner nations
- SwitzerlandUnited States
In The Last Decade
Edo Collins
9 papers receiving 372 citations
Peers
Comparison fields: 5 of 61
- Computer Vision and Pattern Recognition 271
- Computer Graphics and Computer-Aided Design 35
- Hardware and Architecture 31
- Artificial Intelligence 91
- Biophysics 11
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 17 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 | 195 | |
| 2 | 2018 | 61 | |
| 3 | 2018 | 61 | |
| 4 | 2017 | 20 | |
| 5 | Preconditioned Spectral Descent for Deep Learning | 2015 | 16 |
| 6 | 2015 | 15 | |
| 7 | 2018 | 7 | |
| 8 | 2019 | 5 | |
| 9 | 2023 | 3 |
About Edo Collins
Edo Collins is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Artificial Intelligence, Media Technology and Signal Processing, having authored 9 papers that have together received 383 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (4 papers), Computer Graphics and Visualization Techniques (2 papers), Stochastic Gradient Optimization Techniques (2 papers), Machine Learning and Data Classification (1 paper), Advanced Image and Video Retrieval Techniques (1 paper), Image Retrieval and Classification Techniques (1 paper), Formal Methods in Verification (1 paper) and 3D Shape Modeling and Analysis (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (271 citations), Computer Graphics and Computer-Aided Design (35 citations), Hardware and Architecture (31 citations), Artificial Intelligence (91 citations) and Biophysics (11 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, Mathias Soeken, Benoît Séguin, Giovanni De Micheli, Winston Haaswijk, Frédé́ric Kaplan and David Carlson. Their work appears in journals such as IEEE Journal of Selected Topics in Signal Processing, Lecture notes in computer science and Infoscience (Ecole Polytechnique Fédérale de Lausanne).
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.