Jens Behrmann
- Molecular Biology
- Artificial Intelligence
- Spectroscopy
- Computer Vision and Pattern Recognition
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Tobias BoskampJörg KriegsmannRita CasadonteChristian EtmannJoern-Henrik JacobsenRicky T. Q. ChenDavid DuvenaudWill Grathwohl
- Topics
- Mass Spectrometry Techniques and Applications (3 papers)Metabolomics and Mass Spectrometry Studies (2 papers)Neural Networks and Applications (2 papers)
- Partner nations
- GermanyCanadaUnited States
In The Last Decade
Jens Behrmann
7 papers receiving 167 citations
Peers
Comparison fields: 5 of 51
- Molecular Biology 73
- Artificial Intelligence 65
- Spectroscopy 52
- Computer Vision and Pattern Recognition 41
- Radiology, Nuclear Medicine and Imaging 19
Countries citing papers authored by Jens Behrmann
This map shows the geographic impact of Jens Behrmann'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 Jens Behrmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jens Behrmann more than expected).
Fields of papers citing papers by Jens Behrmann
This network shows the impact of papers produced by Jens Behrmann. 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 Jens Behrmann. The network helps show where Jens Behrmann may publish in the future.
Co-authorship network of co-authors of Jens Behrmann
This figure shows the co-authorship network connecting the top 25 collaborators of Jens Behrmann. A scholar is included among the top collaborators of Jens Behrmann 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 Jens Behrmann. Jens Behrmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 12 | |
| 3 | Fundamental Tradeoffs between Invariance and Sensitivity to Adversarial Perturbations | 8 |
| 4 | Residual Flows for Invertible Generative Modeling | 18 |
| 5 | Invertible Residual Networks | 40 |
| 6 | On the Invertibility of Invertible Neural Networks | 1 |
| 7 | 91 |
About Jens Behrmann
Jens Behrmann is a scholar working on Signal Processing, Spectroscopy and Computer Vision and Pattern Recognition, having authored 7 papers that have together received 173 indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Spectroscopy (52 citations), Biophysics (15 citations) and Artificial Intelligence (65 citations). Jens Behrmann has collaborated with scholars based in Germany, Canada and United States. Frequent co-authors include Tobias Boskamp, Jörg Kriegsmann, Rita Casadonte, Christian Etmann, Joern-Henrik Jacobsen, Ricky T. Q. Chen, David Duvenaud, Will Grathwohl, Florian Tramèr and Nicolas Papernot. Their work appears in journals such as Bioinformatics, Analytical Chemistry and PROTEOMICS - CLINICAL APPLICATIONS.
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.