Lynton Ardizzone

928 total citations
13 papers, 256 citations indexed

About

Lynton Ardizzone is a scholar working on Artificial Intelligence, Astronomy and Astrophysics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Lynton Ardizzone has authored 13 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Astronomy and Astrophysics and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Lynton Ardizzone's work include Spectroscopy and Laser Applications (3 papers), Astrophysics and Star Formation Studies (2 papers) and Stellar, planetary, and galactic studies (2 papers). Lynton Ardizzone is often cited by papers focused on Spectroscopy and Laser Applications (3 papers), Astrophysics and Star Formation Studies (2 papers) and Stellar, planetary, and galactic studies (2 papers). Lynton Ardizzone collaborates with scholars based in Germany, United States and France. Lynton Ardizzone's co-authors include Ullrich Köthe, Ulf K. Mertens, Stefan T. Radev, Andreas Voß, Carsten Rother, Ralf S. Klessen, E. Pellegrini, Lena Maier‐Hein, Jakob Kruse and Sebastian Wirkert and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, Optics Express and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Lynton Ardizzone

12 papers receiving 241 citations

Peers

Lynton Ardizzone
Joseph Mueller United States
Duncan W. Mills United States
Markus Abel Australia
J. Nathan Kutz United States
Ayan Biswas United States
R. Bains United Kingdom
Donald C. Fraser United States
Lynton Ardizzone
Citations per year, relative to Lynton Ardizzone Lynton Ardizzone (= 1×) peers Patrick Duvaut

Countries citing papers authored by Lynton Ardizzone

Since Specialization
Citations

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

Fields of papers citing papers by Lynton Ardizzone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lynton Ardizzone. 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 Lynton Ardizzone. The network helps show where Lynton Ardizzone may publish in the future.

Co-authorship network of co-authors of Lynton Ardizzone

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

All Works

13 of 13 papers shown
1.
Adler, Tim, Annika Reinke, Minu D. Tizabi, et al.. (2025). Application-driven validation of posteriors in inverse problems. Medical Image Analysis. 101. 103474–103474. 1 indexed citations
2.
Klessen, Ralf S., et al.. (2023). Noise-Net: determining physical properties of H iiregions reflecting observational uncertainties. Monthly Notices of the Royal Astronomical Society. 520(4). 4981–5001. 7 indexed citations
3.
Pellegrini, E., et al.. (2022). Emission-line diagnostics of H ii regions using conditional invertible neural networks. Monthly Notices of the Royal Astronomical Society. 512(1). 617–647. 10 indexed citations
4.
Ardizzone, Lynton, et al.. (2022). Towards Multimodal Depth Estimation from Light Fields. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 12943–12951. 9 indexed citations
5.
Ardizzone, Lynton, et al.. (2021). Model updating of wind turbine blade cross sections with invertible neural networks. Wind Energy. 25(3). 573–599. 17 indexed citations
6.
Ardizzone, Lynton, et al.. (2020). Generative Classifiers as a Basis for Trustworthy Computer Vision.. arXiv (Cornell University). 1 indexed citations
7.
Ardizzone, Lynton, et al.. (2020). Exact Information Bottleneck with Invertible Neural Networks: Getting the Best of Discriminative and Generative Modeling.
8.
Radev, Stefan T., Ulf K. Mertens, Andreas Voß, Lynton Ardizzone, & Ullrich Köthe. (2020). BayesFlow: Learning Complex Stochastic Models With Invertible Neural Networks. IEEE Transactions on Neural Networks and Learning Systems. 33(4). 1452–1466. 101 indexed citations
9.
Ardizzone, Lynton, Ralf S. Klessen, Ullrich Koethe, et al.. (2020). Stellar parameter determination from photometry using invertible neural networks. Monthly Notices of the Royal Astronomical Society. 499(4). 5447–5485. 18 indexed citations
10.
Kruse, Jakob, et al.. (2019). HINT: Hierarchical Invertible Neural Transport for General and Sequential Bayesian inference.. arXiv (Cornell University). 2 indexed citations
11.
Adler, Tim, Lynton Ardizzone, Janek Gröhl, et al.. (2019). Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networks. International Journal of Computer Assisted Radiology and Surgery. 14(6). 997–1007. 14 indexed citations
12.
Ardizzone, Lynton, Jakob Kruse, Sebastian Wirkert, et al.. (2018). Analyzing Inverse Problems with Invertible Neural Networks. arXiv (Cornell University). 59 indexed citations
13.
Schweiger, Christoph, et al.. (2017). Versatile, high-power 460 nm laser system for Rydberg excitation of ultracold potassium. Optics Express. 25(13). 14829–14829. 17 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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