Joern-Henrik Jacobsen

710 total citations
7 papers, 110 citations indexed

About

Joern-Henrik Jacobsen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Joern-Henrik Jacobsen has authored 7 papers receiving a total of 110 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Signal Processing. Recurrent topics in Joern-Henrik Jacobsen's work include Generative Adversarial Networks and Image Synthesis (3 papers), Adversarial Robustness in Machine Learning (3 papers) and Music and Audio Processing (2 papers). Joern-Henrik Jacobsen is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (3 papers), Adversarial Robustness in Machine Learning (3 papers) and Music and Audio Processing (2 papers). Joern-Henrik Jacobsen collaborates with scholars based in Canada, Germany and United States. Joern-Henrik Jacobsen's co-authors include Jens Behrmann, David Duvenaud, Ricky T. Q. Chen, Richard S. Zemel, Will Grathwohl, Elliot Creager, Nicolas Papernot, Qiyang Li, Cem Anil and Florian Tramèr and has published in prestigious journals such as arXiv (Cornell University), Neural Information Processing Systems and International Conference on Machine Learning.

In The Last Decade

Joern-Henrik Jacobsen

7 papers receiving 104 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joern-Henrik Jacobsen Canada 6 87 52 20 8 5 7 110
Hyunjik Kim United Kingdom 5 89 1.0× 92 1.8× 7 0.3× 25 3.1× 2 0.4× 9 145
Bart van Merriënboer United States 5 94 1.1× 46 0.9× 17 0.8× 9 1.1× 2 0.4× 9 134
Xiyu Zhai United States 5 78 0.9× 25 0.5× 11 0.6× 4 0.5× 2 0.4× 5 95
Lechao Xiao United States 7 59 0.7× 24 0.5× 8 0.4× 2 0.3× 5 1.0× 13 113
Jiri Hron United Kingdom 5 82 0.9× 28 0.5× 6 0.3× 2 0.3× 7 1.4× 8 104
Jaesik Yoon Netherlands 3 73 0.8× 36 0.7× 5 0.3× 5 0.6× 6 1.2× 5 86
Will Grathwohl Canada 4 48 0.6× 31 0.6× 13 0.7× 3 0.4× 2 0.4× 7 90
Lazar Valkov United States 3 57 0.7× 66 1.3× 9 0.5× 11 1.4× 1 0.2× 3 107
Colin Wei United States 4 63 0.7× 28 0.5× 8 0.4× 4 0.5× 1 0.2× 8 72
Francis Dutil Canada 5 83 1.0× 71 1.4× 4 0.2× 6 0.8× 5 1.0× 9 125

Countries citing papers authored by Joern-Henrik Jacobsen

Since Specialization
Citations

This map shows the geographic impact of Joern-Henrik Jacobsen'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 Joern-Henrik Jacobsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joern-Henrik Jacobsen more than expected).

Fields of papers citing papers by Joern-Henrik Jacobsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joern-Henrik Jacobsen. 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 Joern-Henrik Jacobsen. The network helps show where Joern-Henrik Jacobsen may publish in the future.

Co-authorship network of co-authors of Joern-Henrik Jacobsen

This figure shows the co-authorship network connecting the top 25 collaborators of Joern-Henrik Jacobsen. A scholar is included among the top collaborators of Joern-Henrik Jacobsen 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 Joern-Henrik Jacobsen. Joern-Henrik Jacobsen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Creager, Elliot, Joern-Henrik Jacobsen, & Richard S. Zemel. (2021). Environment Inference for Invariant Learning. International Conference on Machine Learning. 2189–2200. 25 indexed citations
2.
Krueger, David, Ethan Caballero, Joern-Henrik Jacobsen, et al.. (2021). Out-of-Distribution Generalization via Risk Extrapolation (REx). 5815–5826. 2 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.
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
5.
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
6.
Li, Qiyang, et al.. (2019). Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks. arXiv (Cornell University). 32. 15364–15376. 12 indexed citations
7.
Fetaya, Ethan, Joern-Henrik Jacobsen, Will Grathwohl, & Richard S. Zemel. (2019). Understanding the Limitations of Conditional Generative Models. arXiv (Cornell University). 5 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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