Daniel Gläsner
Impact in
- Media Technology top 0.2%
- Image Processing Techniques and Applications
- Advanced Image Fusion Techniques
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- Advanced Image Processing Techniques
- Advanced Vision and Imaging
- Image and Signal Denoising Methods
- Advanced Neural Network Applications
- Image Enhancement Techniques
- Advanced Image and Video Retrieval Techniques
Papers in
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- Advanced Vision and Imaging 6
- Advanced Neural Network Applications 4
- Advanced Image Processing Techniques 3
- Image Enhancement Techniques 2
- Medical Image Segmentation Techniques 2
- Generative Adversarial Networks and Image Synthesis 2
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- Optimization and Search Problems 2
- Co-authors
- Shai Bagon (1 shared paper)Michal Irani (1 shared paper)Andreas Veit (4 shared papers)Ayan Chakrabarti (4 shared papers)Thomas Unterthiner (2 shared papers)Daliang Li (2 shared papers)Srinadh Bhojanapalli (2 shared papers)Anat Levin (4 shared papers)
- Journals
- ACM Transactions on Graphics (2 papers)Algorithmica (1 paper)Image and Vision Computing (1 paper)Sensors (1 paper)SIAM Journal on Imaging Sciences (1 paper)
- Partner nations
- United StatesIsraelUnited Kingdom
In The Last Decade
Daniel Gläsner
20 papers receiving 2.0k citations
Daniel Gläsner's Hit Papers
Peers
Comparison fields: 5 of 93
- Media Technology 946
- Computer Vision and Pattern Recognition 1.8k
- Computer Graphics and Computer-Aided Design 40
- Biophysics 36
- Artificial Intelligence 203
Countries citing papers authored by Daniel Gläsner
This map shows the geographic impact of Daniel Gläsner'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 Daniel Gläsner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Gläsner more than expected).
Fields of papers citing papers by Daniel Gläsner
This network shows the impact of papers produced by Daniel Gläsner. 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 Daniel Gläsner. The network helps show where Daniel Gläsner may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Gläsner, 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 | Super-resolution from a single image Hit paper breakdown → | 2009 | 1397 |
| 2 | Understanding Robustness of Transformers for Image Classification Hit paper breakdown → | 2021 | 270 |
| 3 | 2013 | 151 | |
| 4 | Rethinking FID: Towards a Better Evaluation Metric for Image Generation Hit paper breakdown → | 2024 | 75 |
| 5 | 2011 | 68 | |
| 6 | 2012 | 26 | |
| 7 | 2011 | 19 | |
| 8 | 2014 | 17 | |
| 9 | 2021 | 13 | |
| 10 | 2015 | 12 | |
| 11 | 2015 | 7 | |
| 12 | 2011 | 5 | |
| 13 | 2017 | 2 | |
| 14 | 2013 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2009 | 1 | |
| 17 | A dynamic programming algorithm for perceptually consistent stereo | 2017 | 1 |
| 18 | 2021 | 1 | |
| 19 | High Spatial Resolution BRDFs with Metallic powders Using Wave Optics Analysis | 2013 | 1 |
| 20 | 2008 | 1 |
About Daniel Gläsner
Daniel Gläsner is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Artificial Intelligence, Computational Theory and Mathematics and Media Technology, having authored 20 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (6 papers), Advanced Neural Network Applications (4 papers), Advanced Image Processing Techniques (3 papers), Image Enhancement Techniques (2 papers), Medical Image Segmentation Techniques (2 papers), Adversarial Robustness in Machine Learning (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Optimization and Search Problems (2 papers). The work is most often cited by research in Media Technology (946 citations), Computer Vision and Pattern Recognition (1.8k citations), Computer Graphics and Computer-Aided Design (40 citations), Biophysics (36 citations) and Artificial Intelligence (203 citations). Daniel Gläsner has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Shai Bagon, Michal Irani, Andreas Veit, Ayan Chakrabarti, Thomas Unterthiner, Daliang Li, Srinadh Bhojanapalli, Anat Levin, Netalee Efrat and Boaz Nadler. Their work appears in journals such as ACM Transactions on Graphics, Algorithmica, Image and Vision Computing, Sensors and SIAM Journal on Imaging Sciences.
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.