Christopher DuBois

1.4k total citations · 1 hit paper
10 papers, 812 citations indexed

About

Christopher DuBois is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Statistics and Probability. According to data from OpenAlex, Christopher DuBois has authored 10 papers receiving a total of 812 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Statistical and Nonlinear Physics and 2 papers in Statistics and Probability. Recurrent topics in Christopher DuBois's work include Bayesian Methods and Mixture Models (7 papers), Complex Network Analysis Techniques (6 papers) and Opinion Dynamics and Social Influence (4 papers). Christopher DuBois is often cited by papers focused on Bayesian Methods and Mixture Models (7 papers), Complex Network Analysis Techniques (6 papers) and Opinion Dynamics and Social Influence (4 papers). Christopher DuBois collaborates with scholars based in United States, Netherlands and Canada. Christopher DuBois's co-authors include Yao Wu, Alice X. Zheng, Martin Ester, Padhraic Smyth, James R. Foulds, Max Welling, Carter T. Butts, Arthur Asuncion, Ami Radunskaya and Anoop Korattikara and has published in prestigious journals such as Machine Learning, Mathematical Biosciences & Engineering and UvA-DARE (University of Amsterdam).

In The Last Decade

Christopher DuBois

9 papers receiving 786 citations

Hit Papers

Collaborative Denoising Auto-Encoders for Top-N Recommend... 2016 2026 2019 2022 2016 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher DuBois United States 6 611 491 249 147 68 10 812
István Pilászy Hungary 9 661 1.1× 378 0.8× 298 1.2× 155 1.1× 40 0.6× 10 838
Beidou Wang China 10 436 0.7× 433 0.9× 138 0.6× 118 0.8× 65 1.0× 12 712
Laurent Charlin Canada 13 593 1.0× 695 1.4× 155 0.6× 200 1.4× 35 0.5× 20 977
Fei Cai China 16 463 0.8× 543 1.1× 116 0.5× 106 0.7× 67 1.0× 55 738
Dimitrios Rafailidis Greece 17 433 0.7× 318 0.6× 303 1.2× 102 0.7× 87 1.3× 47 779
Jianxun Lian China 16 897 1.5× 814 1.7× 247 1.0× 161 1.1× 55 0.8× 42 1.2k
Haifeng Liu China 12 582 1.0× 353 0.7× 259 1.0× 105 0.7× 47 0.7× 33 834
How Jing United States 6 470 0.8× 378 0.8× 140 0.6× 124 0.8× 32 0.5× 11 606
Shengxian Wan China 6 378 0.6× 516 1.1× 170 0.7× 87 0.6× 33 0.5× 6 704
Leyu Lin China 23 877 1.4× 1.0k 2.1× 268 1.1× 269 1.8× 107 1.6× 60 1.4k

Countries citing papers authored by Christopher DuBois

Since Specialization
Citations

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

Fields of papers citing papers by Christopher DuBois

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher DuBois

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

All Works

10 of 10 papers shown
1.
DuBois, Christopher, James R. Foulds, & Padhraic Smyth. (2021). Latent Set Models for Two-Mode Network Data. Proceedings of the International AAAI Conference on Web and Social Media. 5(1). 137–144.
2.
Wu, Yao, Christopher DuBois, Alice X. Zheng, & Martin Ester. (2016). Collaborative Denoising Auto-Encoders for Top-N Recommender Systems. 153–162. 650 indexed citations breakdown →
3.
DuBois, Christopher, Anoop Korattikara, Max Welling, & Padhraic Smyth. (2014). Approximate Slice Sampling for Bayesian Posterior Inference. UvA-DARE (University of Amsterdam). 33. 185–193. 3 indexed citations
4.
DuBois, Christopher, Carter T. Butts, & Padhraic Smyth. (2013). Stochastic blockmodeling of relational event dynamics. International Conference on Artificial Intelligence and Statistics. 238–246. 29 indexed citations
5.
DuBois, Christopher, et al.. (2013). Modeling individual email patterns over time with latent variable models. Machine Learning. 92(2-3). 431–455. 3 indexed citations
6.
Foulds, James R., et al.. (2013). Stochastic collapsed variational Bayesian inference for latent Dirichlet allocation. UvA-DARE (University of Amsterdam). 446–454. 76 indexed citations
7.
DuBois, Christopher, et al.. (2012). Statistical Models for Exploring Individual Email Communication Behavior. Asian Conference on Machine Learning. 317–332. 3 indexed citations
8.
DuBois, Christopher, et al.. (2012). A multiple time-scale computational model of a tumor and its micro environment. Mathematical Biosciences & Engineering. 10(1). 121–150. 9 indexed citations
9.
Foulds, James R., Christopher DuBois, Arthur Asuncion, Carter T. Butts, & Padhraic Smyth. (2011). A Dynamic Relational Infinite Feature Model for Longitudinal Social Networks. International Conference on Artificial Intelligence and Statistics. 287–295. 25 indexed citations
10.
DuBois, Christopher & Padhraic Smyth. (2010). Modeling relational events via latent classes. 803–812. 14 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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