Chris J. Maddison

18.5k total citations · 1 hit paper
13 papers, 9.0k citations indexed

About

Chris J. Maddison is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Economics and Econometrics. According to data from OpenAlex, Chris J. Maddison has authored 13 papers receiving a total of 9.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Economics and Econometrics. Recurrent topics in Chris J. Maddison's work include Generative Adversarial Networks and Image Synthesis (3 papers), Topic Modeling (2 papers) and Animal Behavior and Reproduction (2 papers). Chris J. Maddison is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (3 papers), Topic Modeling (2 papers) and Animal Behavior and Reproduction (2 papers). Chris J. Maddison collaborates with scholars based in United Kingdom, Canada and United States. Chris J. Maddison's co-authors include David Silver, Aja Huang, Ilya Sutskever, Nal Kalchbrenner, Arthur Guez, Marc Lanctot, Ioannis Antonoglou, George van den Driessche, Julian Schrittwieser and Demis Hassabis and has published in prestigious journals such as Nature, Endocrinology and Hormones and Behavior.

In The Last Decade

Chris J. Maddison

13 papers receiving 8.7k citations

Hit Papers

Mastering the game of Go with deep neural networks and tr... 2016 2026 2019 2022 2016 2.5k 5.0k 7.5k
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.

  1. Mastering the game of Go with deep neural networks and tree search
    2016 8.8k citations David Silver, Aja Huang et al. Nature profile →

Peers

Chris J. Maddison
Dominik Grewe United Kingdom
Sander Dieleman Belgium
Matthew Lai United Kingdom
Thomas Hubert United Kingdom
Joëlle Pineau Canada
Nal Kalchbrenner United Kingdom
Paolo Frasconi Italy
Kevin P. Murphy Canada
George van den Driessche United Kingdom
Marc Lanctot United Kingdom
Dominik Grewe United Kingdom
Chris J. Maddison
Citations per year, relative to Chris J. Maddison Chris J. Maddison (= 1×) peers Dominik Grewe

Countries citing papers authored by Chris J. Maddison

Since Specialization
Citations

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

Fields of papers citing papers by Chris J. Maddison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chris J. Maddison. 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 Chris J. Maddison. The network helps show where Chris J. Maddison may publish in the future.

Co-authorship network of co-authors of Chris J. Maddison

This figure shows the co-authorship network connecting the top 25 collaborators of Chris J. Maddison. A scholar is included among the top collaborators of Chris J. Maddison 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 Chris J. Maddison. Chris J. Maddison 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.
Skreta, Marta, et al.. (2025). Boosting the predictive power of protein representations with a corpus of text annotations. Nature Machine Intelligence. 7(9). 1403–1413. 1 indexed citations
2.
Maddison, Chris J., et al.. (2021). Edinburgh Research Explorer. 7 indexed citations
3.
Ullrich, Karen, et al.. (2021). Lossy Compression for Lossless Prediction. arXiv (Cornell University). 34. 2 indexed citations
4.
Choi, Dami, et al.. (2020). Gradient Estimation with Stochastic Softmax Tricks. Neural Information Processing Systems. 33. 5691–5704. 3 indexed citations
5.
Mathieu, Émile, Charline Le Lan, Chris J. Maddison, Ryota Tomioka, & Yee Whye Teh. (2019). Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders. arXiv (Cornell University). 32. 12544–12555. 13 indexed citations
6.
Maddison, Chris J., George Tucker, Nicolas Heess, et al.. (2017). Particle Value Functions. arXiv (Cornell University). 2 indexed citations
7.
Tucker, George, et al.. (2017). REBAR: Low-variance, unbiased gradient estimates for discrete latent variable models. arXiv (Cornell University). 30. 2627–2636. 32 indexed citations
8.
Silver, David, Aja Huang, Chris J. Maddison, et al.. (2016). Mastering the game of Go with deep neural networks and tree search. Nature. 529(7587). 484–489. 8793 indexed citations breakdown →
9.
Maddison, Chris J., Daniel Tarlow, & Tom Minka. (2014). A* Sampling. Neural Information Processing Systems. 27. 3086–3094. 57 indexed citations
10.
Maddison, Chris J. & Daniel Tarlow. (2014). Structured Generative Models of Natural Source Code. International Conference on Machine Learning. 649–657. 19 indexed citations
11.
Maddison, Chris J., Aja Huang, Ilya Sutskever, & David Silver. (2014). Move Evaluation in Go Using Deep Convolutional Neural Networks. arXiv (Cornell University). 57 indexed citations
12.
Maddison, Chris J., Rindy C. Anderson, Nora H. Prior, Matthew D. Taves, & Kiran K. Soma. (2012). Soft song during aggressive interactions: Seasonal changes and endocrine correlates in song sparrows. Hormones and Behavior. 62(4). 455–463. 15 indexed citations
13.
Heimovics, Sarah A., Nora H. Prior, Chris J. Maddison, & Kiran K. Soma. (2012). Rapid and Widespread Effects of 17β-Estradiol on Intracellular Signaling in the Male Songbird Brain: A Seasonal Comparison. Endocrinology. 153(3). 1364–1376. 45 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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