Jonas Rauber
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition
- Signal Processing
- Molecular Biology
- Electrical and Electronic Engineering
- Co-authors
- Matthias BethgeWieland BrendelR. ZimmermannLukas SchottMatthias KümmererClaudio MichaelisFelix A. WichmannRobert Geirhos
- Topics
- Adversarial Robustness in Machine Learning (4 papers)Bacillus and Francisella bacterial research (1 paper)Cardiac Arrest and Resuscitation (1 paper)
- Journals
- Journal of VisionarXiv (Cornell University)MPG.PuRe (Max Planck Society)
- Partner nations
- GermanyUnited Kingdom
In The Last Decade
Jonas Rauber
5 papers receiving 151 citations
Peers
Comparison fields: 5 of 43
- Artificial Intelligence 121
- Computer Vision and Pattern Recognition 41
- Signal Processing 28
- Molecular Biology 20
- Electrical and Electronic Engineering 18
Countries citing papers authored by Jonas Rauber
This map shows the geographic impact of Jonas Rauber'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 Jonas Rauber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonas Rauber more than expected).
Fields of papers citing papers by Jonas Rauber
This network shows the impact of papers produced by Jonas Rauber. 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 Jonas Rauber. The network helps show where Jonas Rauber may publish in the future.
Co-authorship network of co-authors of Jonas Rauber
This figure shows the co-authorship network connecting the top 25 collaborators of Jonas Rauber. A scholar is included among the top collaborators of Jonas Rauber based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jonas Rauber. Jonas Rauber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 71 | |
| 2 | Accurate, reliable and fast robustness evaluation | 22 |
| 3 | Towards the First Adversarially Robust Neural Network Model on MNIST | 53 |
| 4 | 3 | |
| 5 | Robust Perception through Analysis by Synthesis. | 6 |
About Jonas Rauber
Jonas Rauber is a scholar working on Health Informatics, Artificial Intelligence and Emergency Medicine, having authored 5 papers that have together received 155 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (4 papers), Bacillus and Francisella bacterial research (1 paper) and Cardiac Arrest and Resuscitation (1 paper). The work is most often cited by research in Artificial Intelligence (121 citations), Health Informatics (4 citations) and Signal Processing (28 citations). Jonas Rauber has collaborated with scholars based in Germany and United Kingdom. Frequent co-authors include Matthias Bethge, Wieland Brendel, R. Zimmermann, Lukas Schott, Matthias Kümmerer, Claudio Michaelis, Felix A. Wichmann and Robert Geirhos. Their work appears in journals such as Journal of Vision, arXiv (Cornell University) and MPG.PuRe (Max Planck Society).
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.