Jens Behrmann

931 total citations
7 papers, 173 citations indexed

About

Jens Behrmann is a scholar working on Molecular Biology, Artificial Intelligence and Spectroscopy. According to data from OpenAlex, Jens Behrmann has authored 7 papers receiving a total of 173 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Artificial Intelligence and 3 papers in Spectroscopy. Recurrent topics in Jens Behrmann's work include Mass Spectrometry Techniques and Applications (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Neural Networks and Applications (2 papers). Jens Behrmann is often cited by papers focused on Mass Spectrometry Techniques and Applications (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Neural Networks and Applications (2 papers). Jens Behrmann collaborates with scholars based in Germany, Canada and United States. Jens Behrmann's 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 and has published in prestigious journals such as Bioinformatics, Analytical Chemistry and PROTEOMICS - CLINICAL APPLICATIONS.

In The Last Decade

Jens Behrmann

7 papers receiving 167 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jens Behrmann Germany	5	73	65	52	41	19	7	173
Victor García Satorras Netherlands	6	70 1.0×	88 1.4×	4 0.1×	62 1.5×	10 0.5×	6	222
Patrick Forré Netherlands	8	42 0.6×	52 0.8×	54 1.0×	45 1.1×	5 0.3×	17	186
Des Watson United Kingdom	5	32 0.4×	27 0.4×	9 0.2×	9 0.2×	44 2.3×	11	119
Robin Walters United States	4	53 0.7×	17 0.3×	6 0.1×	9 0.2×	3 0.2×	8	137
Henry Adams United States	9	29 0.4×	4 0.1×	4 0.1×	46 1.1×	49 2.6×	28	208
Yanhua Sun United States	8	46 0.6×	11 0.2×	15 0.3×	6 0.1×	1 0.1×	13	236
Sandrine Vial France	9	25 0.3×	13 0.2×	15 0.3×	5 0.1×		17	199
Barbara Di Fabio Italy	8	22 0.3×	13 0.2×		55 1.3×	29 1.5×	14	188
Iain Bethune United Kingdom	6	49 0.7×	10 0.2×	11 0.2×		14 0.7×	24	167
Olivier Bodini France	6	17 0.2×	49 0.8×	6 0.1×	5 0.1×		32	109

Countries citing papers authored by Jens Behrmann

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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7 of 7 papers shown

1.

Behrmann, Jens, et al.. (2024). Improved Mass Calibration in MALDI MSI Using Neural Network-Based Recalibration. Analytical Chemistry. 96(19). 7542–7549. 3 indexed citations

2.

Boskamp, Tobias, Lena Hauberg‐Lotte, Jens Behrmann, et al.. (2022). Robust subtyping of non‐small cell lung cancer whole sections through MALDI mass spectrometry imaging. PROTEOMICS - CLINICAL APPLICATIONS. 16(4). e2100068–e2100068. 12 indexed citations

3.

Tramèr, Florian, Jens Behrmann, Nicholas Carlini, Nicolas Papernot, & Joern-Henrik Jacobsen. (2020). Fundamental Tradeoffs between Invariance and Sensitivity to Adversarial Perturbations. International Conference on Machine Learning. 1. 9561–9571. 8 indexed citations

4.

Chen, Ricky T. Q., Jens Behrmann, David Duvenaud, & Joern-Henrik Jacobsen. (2019). Residual Flows for Invertible Generative Modeling. Neural Information Processing Systems. 32. 9916–9926. 18 indexed citations

5.

Behrmann, Jens, Will Grathwohl, Ricky T. Q. Chen, David Duvenaud, & Joern-Henrik Jacobsen. (2019). Invertible Residual Networks. International Conference on Machine Learning. 573–582. 40 indexed citations

6.

Behrmann, Jens, Paul Vicol, Kuan-Chieh Wang, Roger Grosse, & Jörn-Henrik Jacobsen. (2019). On the Invertibility of Invertible Neural Networks. 1 indexed citations

7.

Behrmann, Jens, et al.. (2017). Deep learning for tumor classification in imaging mass spectrometry. Bioinformatics. 34(7). 1215–1223. 91 indexed citations

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.

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