David Stutz
Impact in
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- Computer Graphics and Visualization Techniques
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- Medical Image Segmentation Techniques
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Visual Attention and Saliency Detection
Papers in
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- Adversarial Robustness in Machine Learning 6
- Neural Networks and Applications 2
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- Advanced Neural Network Applications 4
- Visual Attention and Saliency Detection 2
- Co-authors
- Bastian Leibe (1 shared paper)Alexander Hermans (1 shared paper)Andreas Geiger (1 shared paper)Bernt Schiele (8 shared papers)Matthias Hein (6 shared papers)Yong Guo (2 shared papers)Nandhini Chandramoorthy (2 shared papers)Marc Oliver Rieger (1 shared paper)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Microscopy and Microanalysis (1 paper)Medical Image Analysis (1 paper)Computer Vision and Image Understanding (1 paper)Journal of Behavioral and Experimental Finance (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
David Stutz
13 papers receiving 591 citations
David Stutz's Hit Papers
Peers
Comparison fields: 5 of 94
- Computer Graphics and Computer-Aided Design 71
- Computer Vision and Pattern Recognition 325
- Media Technology 136
- Geology 63
- Computational Mechanics 114
Countries citing papers authored by David Stutz
This map shows the geographic impact of David Stutz'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 David Stutz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Stutz more than expected).
Fields of papers citing papers by David Stutz
This network shows the impact of papers produced by David Stutz. 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 David Stutz. The network helps show where David Stutz may publish in the future.
Co-authors
The 23 scholars most cited alongside David Stutz, 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 | Superpixels: An evaluation of the state-of-the-art Hit paper breakdown → | 2017 | 343 |
| 2 | 2018 | 133 | |
| 3 | Understanding Convolutional Neural Networks | 2014 | 41 |
| 4 | 2023 | 18 | |
| 5 | 2021 | 15 | |
| 6 | Bit Error Robustness for Energy-Efficient DNN Accelerators | 2021 | 11 |
| 7 | 2022 | 10 | |
| 8 | 2023 | 10 | |
| 9 | Confidence-Calibrated Adversarial Training: Generalizing to Unseen Attacks | 2020 | 9 |
| 10 | 2021 | 4 | |
| 11 | Confidence-Calibrated Adversarial Training and Detection: More Robust Models Generalizing Beyond the Attack Used During Training | 2019 | 2 |
| 12 | Introduction to Neural Networks | 2014 | 2 |
| 13 | Confidence-Calibrated Adversarial Training: Towards Robust Models Generalizing Beyond the Attack Used During Training | 2019 | 2 |
| 14 | 2025 | 0 | |
| 15 | 2005 | 0 |
About David Stutz
David Stutz is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Finance and Mechanics of Materials, having authored 15 papers that have together received 600 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (6 papers), Advanced Neural Network Applications (4 papers), Neural Networks and Applications (2 papers), Visual Attention and Saliency Detection (2 papers), Integrated Circuits and Semiconductor Failure Analysis (2 papers), Advanced Memory and Neural Computing (1 paper), Decision-Making and Behavioral Economics (1 paper) and Remote-Sensing Image Classification (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (71 citations), Computer Vision and Pattern Recognition (325 citations), Media Technology (136 citations), Geology (63 citations) and Computational Mechanics (114 citations). David Stutz has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Bastian Leibe, Alexander Hermans, Andreas Geiger, Bernt Schiele, Matthias Hein, Yong Guo, Nandhini Chandramoorthy, Marc Oliver Rieger, Alan Karthikesalingam and Dale R. Webster. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Microscopy and Microanalysis, Medical Image Analysis, Computer Vision and Image Understanding and Journal of Behavioral and Experimental Finance.
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.