Matt Hoffman

1.2k total citations
13 papers, 263 citations indexed

About

Matt Hoffman is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Matt Hoffman has authored 13 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 4 papers in Signal Processing. Recurrent topics in Matt Hoffman's work include Gaussian Processes and Bayesian Inference (4 papers), Music and Audio Processing (4 papers) and Music Technology and Sound Studies (4 papers). Matt Hoffman is often cited by papers focused on Gaussian Processes and Bayesian Inference (4 papers), Music and Audio Processing (4 papers) and Music Technology and Sound Studies (4 papers). Matt Hoffman collaborates with scholars based in United States, Canada and Australia. Matt Hoffman's co-authors include David M. Blei, David Mimno, Cheng-Zhi Anna Huang, Ian Simon, Curtis Hawthorne, Noam Shazeer, Douglas Eck, Ashish Vaswani, Monica Dinculescu and Jakob Uszkoreit and has published in prestigious journals such as International Journal of Sports Science & Coaching, Oxford University Research Archive (ORA) (University of Oxford) and arXiv (Cornell University).

In The Last Decade

Matt Hoffman

13 papers receiving 234 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matt Hoffman United States 7 134 119 114 57 14 13 263
Benigno Uría United Kingdom 7 128 1.0× 196 1.6× 75 0.7× 13 0.2× 6 0.4× 9 277
Romain Hennequin France 9 219 1.6× 132 1.1× 111 1.0× 25 0.4× 46 3.3× 29 354
Beat Pfister Switzerland 8 148 1.1× 194 1.6× 59 0.5× 10 0.2× 10 0.7× 33 293
Thomas Kolenda Denmark 7 115 0.9× 92 0.8× 44 0.4× 133 2.3× 23 1.6× 8 306
Darryl Stewart United Kingdom 11 195 1.5× 117 1.0× 105 0.9× 21 0.4× 39 2.8× 35 316
Chorkin Chan Hong Kong 8 114 0.9× 203 1.7× 80 0.7× 20 0.4× 21 1.5× 34 285
Dominik Schnitzer Austria 13 307 2.3× 142 1.2× 313 2.7× 76 1.3× 80 5.7× 31 468
Asoke Kumar Datta United States 10 46 0.3× 79 0.7× 37 0.3× 14 0.2× 9 0.6× 43 251
Donghong Han China 10 52 0.4× 181 1.5× 47 0.4× 29 0.5× 30 2.1× 27 261
Nishant A. Mehta United States 6 14 0.1× 84 0.7× 32 0.3× 24 0.4× 20 1.4× 16 181

Countries citing papers authored by Matt Hoffman

Since Specialization
Citations

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

Fields of papers citing papers by Matt Hoffman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matt Hoffman

This figure shows the co-authorship network connecting the top 25 collaborators of Matt Hoffman. A scholar is included among the top collaborators of Matt Hoffman 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 Matt Hoffman. Matt Hoffman 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.
Hoffman, Matt, et al.. (2021). Stochastic Optimization of Power System Dynamics for Grid Resilience. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 3 indexed citations
2.
Huang, Cheng-Zhi Anna, Ashish Vaswani, Jakob Uszkoreit, et al.. (2019). Music Transformer: Generating Music with Long-Term Structure. International Conference on Learning Representations. 119 indexed citations
3.
Antognini, Joseph M., Matt Hoffman, & Ron J. Weiss. (2019). Audio Texture Synthesis with Random Neural Networks: Improving Diversity and Quality. 3587–3591. 5 indexed citations
4.
Phung, Dinh, et al.. (2016). Scalable nonparametric Bayesian multilevel clustering. Deakin Research Online (Deakin University). 289–298. 3 indexed citations
5.
Cartwright, Mark, Bryan Pardo, Gautham J. Mysore, & Matt Hoffman. (2016). Fast and easy crowdsourced perceptual audio evaluation. 619–623. 41 indexed citations
6.
Regier, Jeffrey, Andrew C. Miller, Jon McAuliffe, et al.. (2015). Celeste: Variational inference for a generative model of astronomical images. arXiv (Cornell University). 2095–2103. 7 indexed citations
7.
Gershman, Samuel J., Matt Hoffman, & David M. Blei. (2012). Nonparametric variational inference. arXiv (Cornell University). 235–242. 19 indexed citations
8.
Hoffman, Matt, David M. Blei, & David Mimno. (2012). Sparse stochastic inference for latent Dirichlet allocation. 1515–1522. 43 indexed citations
9.
Hoffman, Matt, et al.. (2009). New inference strategies for solving Markov decision processes using reversible jump MCMC. Oxford University Research Archive (ORA) (University of Oxford). 223–231. 14 indexed citations
10.
Hoffman, Matt, Randal Douc, Nando de Freitas, & Ajay Jasra. (2007). Trans-dimensional MCMC for Bayesian policy learning. Oxford University Research Archive (ORA) (University of Oxford). 665–672. 6 indexed citations
11.
Stevenson, John R., et al.. (2007). Effect of Training for Trust in Putting Performance of Skilled Golfers: A Randomized Controlled Trial. International Journal of Sports Science & Coaching. 2(1_suppl). 67–85. 1 indexed citations
12.
Hoffman, Matt & Perry R. Cook. (2007). Real-time feature-based synthesis for live musical performance. 309–309. 1 indexed citations
13.
Hoffman, Matt & Perry R. Cook. (2006). Feature-Based Synthesis for Sonification and Psychoacoustic Research. SMARTech Repository (Georgia Institute of Technology). 1 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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