Lucas Theis

17.3k total citations · 1 hit paper
23 papers, 8.7k citations indexed

About

Lucas Theis is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Lucas Theis has authored 23 papers receiving a total of 8.7k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 4 papers in Cognitive Neuroscience. Recurrent topics in Lucas Theis's work include Generative Adversarial Networks and Image Synthesis (5 papers), Advanced Image Processing Techniques (5 papers) and Advanced Vision and Imaging (4 papers). Lucas Theis is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (5 papers), Advanced Image Processing Techniques (5 papers) and Advanced Vision and Imaging (4 papers). Lucas Theis collaborates with scholars based in United States, Germany and United Kingdom. Lucas Theis's co-authors include Wenzhe Shi, Ferenc Huszár, Andrew Cunningham, Alykhan Tejani, Zehan Wang, Andrew P. Aitken, José Caballero, Christian Ledig, Johannes Totz and Alejandro Acosta and has published in prestigious journals such as Neuron, PLoS ONE and PLoS Computational Biology.

In The Last Decade

Lucas Theis

23 papers receiving 8.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

2017 7.5k citations Christian Ledig, Lucas Theis et al. profile →

Peers

Lucas Theis

CVPR

MT

AI

RNMI

CM

Michal Irani Israel

Alykhan Tejani United States

Alejandro Acosta Spain

Ferenc Huszár United Kingdom

In So Kweon South Korea

Andrew P. Aitken United Kingdom

Johannes Totz United Kingdom

Zehan Wang China

Tony Lindeberg Sweden

Kyoung Mu Lee South Korea

Michal Irani Israel

Lucas Theis

7.9k ×1.1

CVPR

2.8k ×1.0

MT

772 ×0.9

AI

328 ×0.6

RNMI

492 ×1.1

CM

Citations per year, relative to Lucas Theis Lucas Theis (= 1×) peers Michal Irani

Countries citing papers authored by Lucas Theis

Since Specialization

Citations

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

Fields of papers citing papers by Lucas Theis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lucas Theis

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Kim, Hyunjik, et al.. (2024). C3: High-Performance and Low-Complexity Neural Compression from a Single Image or Video. 9347–9358. 11 indexed citations

2.

Theis, Lucas, et al.. (2024). Gaussian Channel Simulation with Rotated Dithered Quantization. 1907–1912. 1 indexed citations

3.

Qiu, Yang, Aaron B. Wagner, Johannes Ballé, & Lucas Theis. (2024). Wasserstein Distortion: Unifying Fidelity and Realism. 1–6. 5 indexed citations

4.

Theis, Lucas, et al.. (2023). Adaptive Greedy Rejection Sampling. 454–459. 7 indexed citations

5.

Yang, Yibo, Stephan Mandt, & Lucas Theis. (2023). An Introduction to Neural Data Compression. 15(2). 113–200. 34 indexed citations

6.

Yang, Yibo, Stephan Mandt, & Lucas Theis. (2023). An Introduction to Neural Data Compression. 17 indexed citations

7.

Theis, Lucas & Jonathan Ho. (2021). Importance weighted compression. International Conference on Learning Representations. 1 indexed citations

8.

Huszár, Ferenc, Lucas Theis, Wenzhe Shi, & Andrew Cunningham. (2020). Lossy Image Compression with Compressive Autoencoders. Apollo (University of Cambridge). 94 indexed citations

9.

Nguyen-Phuoc, Thu, Chuan Li, Lucas Theis, Christian Richardt, & Yong‐Liang Yang. (2019). HoloGAN: Unsupervised Learning of 3D Representations From Natural Images. Pure (University of Bath). 7587–7596. 195 indexed citations

10.

Korshunova, Iryna, Wenzhe Shi, Joni Dambre, & Lucas Theis. (2017). Fast Face-Swap Using Convolutional Neural Networks. 3697–3705. 311 indexed citations

11.

Ledig, Christian, Lucas Theis, Ferenc Huszár, et al.. (2017). Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network. 105–114. 7534 indexed citations breakdown →

12.

Hosseini, Reshad, Suvrit Sra, Lucas Theis, & Matthias Bethge. (2016). Inference and mixture modeling with the Elliptical Gamma Distribution. Computational Statistics & Data Analysis. 101. 29–43. 1 indexed citations

13.

Theis, Lucas, Philipp Berens, Emmanouil Froudarakis, et al.. (2016). Benchmarking Spike Rate Inference in Population Calcium Imaging. Neuron. 90(3). 471–482. 112 indexed citations

14.

Sønderby, Casper Kaae, J. A. Caballero, Lucas Theis, Wenzhe Shi, & Ferenc Huszár. (2016). Amortised MAP Inference for Image Super-resolution. arXiv (Cornell University). 97 indexed citations

15.

Sra, Suvrit, Reshad Hosseini, Lucas Theis, & Matthias Bethge. (2015). Data modeling with the elliptical gamma distribution. Max Planck Digital Library. 18. 903–911. 1 indexed citations

16.

Theis, Lucas & Matthias Bethge. (2015). Generative Image Modeling Using Spatial LSTMs. arXiv (Cornell University). 28. 1927–1935. 47 indexed citations

17.

Theis, Lucas, et al.. (2013). Beyond GLMs: A Generative Mixture Modeling Approach to Neural System Identification. PLoS Computational Biology. 9(11). e1003356–e1003356. 37 indexed citations

18.

Chagas, André Maia, Lucas Theis, Biswa Sengupta, et al.. (2013). Functional analysis of ultra high information rates conveyed by rat vibrissal primary afferents. Frontiers in Neural Circuits. 7. 190–190. 66 indexed citations

19.

Theis, Lucas, Reshad Hosseini, & Matthias Bethge. (2012). Mixtures of Conditional Gaussian Scale Mixtures Applied to Multiscale Image Representations. PLoS ONE. 7(7). e39857–e39857. 23 indexed citations

20.

Theis, Lucas, Sebastian Gerwinn, Fabian H. Sinz, & Matthias Bethge. (2010). In All Likelihood, Deep Belief Is Not Enough. arXiv (Cornell University). 12(94). 3071–3096. 20 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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