Guy Bresler

2.0k total citations
33 papers, 740 citations indexed

About

Guy Bresler is a scholar working on Artificial Intelligence, Statistics and Probability and Molecular Biology. According to data from OpenAlex, Guy Bresler has authored 33 papers receiving a total of 740 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 14 papers in Statistics and Probability and 7 papers in Molecular Biology. Recurrent topics in Guy Bresler's work include Markov Chains and Monte Carlo Methods (10 papers), Statistical Methods and Inference (6 papers) and Bayesian Modeling and Causal Inference (5 papers). Guy Bresler is often cited by papers focused on Markov Chains and Monte Carlo Methods (10 papers), Statistical Methods and Inference (6 papers) and Bayesian Modeling and Causal Inference (5 papers). Guy Bresler collaborates with scholars based in United States, Netherlands and Switzerland. Guy Bresler's co-authors include David Tse, Abhay Parekh, Dustin Cartwright, Allan Sly, Seyed Abolfazl Motahari, Shankar Bhamidi, Elchanan Mossel, Bruce Hajek, Devavrat Shah and Matthew Brennan and has published in prestigious journals such as IEEE Transactions on Information Theory, BMC Bioinformatics and SIAM Journal on Computing.

In The Last Decade

Guy Bresler

26 papers receiving 709 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guy Bresler United States 11 456 396 149 114 69 33 740
Bernhard Haeupler United States 13 132 0.3× 455 1.1× 194 1.3× 53 0.5× 31 0.4× 79 659
Satish Babu Korada Switzerland 16 833 1.8× 1.1k 2.7× 417 2.8× 400 3.5× 17 0.2× 28 1.2k
Guangyue Han Hong Kong 11 151 0.3× 184 0.5× 75 0.5× 110 1.0× 25 0.4× 81 410
Igor Bjelaković Germany 12 407 0.9× 350 0.9× 169 1.1× 20 0.2× 50 0.7× 42 573
Charles Bordenave France 17 122 0.3× 188 0.5× 41 0.3× 44 0.4× 91 1.3× 56 709
Takuya Okuyama Japan 10 247 0.5× 102 0.3× 497 3.3× 55 0.5× 13 0.2× 16 590
S. W. Golomb United States 10 146 0.3× 58 0.1× 163 1.1× 98 0.9× 31 0.4× 23 506
Hiroki Koga Japan 8 313 0.7× 114 0.3× 143 1.0× 76 0.7× 17 0.2× 47 479
Michael J. Dinneen New Zealand 15 96 0.2× 178 0.4× 361 2.4× 133 1.2× 26 0.4× 80 791
Tomohiro Sonobe Japan 6 294 0.6× 96 0.2× 756 5.1× 49 0.4× 95 1.4× 6 919

Countries citing papers authored by Guy Bresler

Since Specialization
Citations

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

Fields of papers citing papers by Guy Bresler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guy Bresler

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

All Works

20 of 20 papers shown
1.
Bresler, Guy, et al.. (2025). Random Algebraic Graphs and Their Convergence to ErdőS–Rényi. Random Structures and Algorithms. 66(1).
2.
3.
Bresler, Guy, et al.. (2024). On the Fourier Coefficients of High-Dimensional Random Geometric Graphs. 549–560. 2 indexed citations
4.
Brennan, Matthew, et al.. (2023). Threshold for detecting high dimensional geometry in anisotropic random geometric graphs. Random Structures and Algorithms. 64(1). 125–137. 3 indexed citations
5.
Bresler, Guy, Chenghao Guo, & Yury Polyanskiy. (2023). Algorithmic Decorrelation and Planted Clique in Dependent Random Graphs: The Case of Extra Triangles. 35. 2149–2158.
6.
Wu, Xian, et al.. (2020). Least Squares Regression with Markovian Data: Fundamental Limits and Algorithms. Neural Information Processing Systems. 33. 16666–16676. 1 indexed citations
7.
Bresler, Guy, et al.. (2020). A Corrective View of Neural Networks: Representation, Memorization and Learning. Conference on Learning Theory. 848–901. 1 indexed citations
8.
Bresler, Guy, et al.. (2020). Minimax Prediction in Tree Ising Models. 1325–1330. 1 indexed citations
9.
Bresler, Guy, et al.. (2019). Universality of Computational Lower Bounds for Submatrix Detection. Conference on Learning Theory. 417–468. 2 indexed citations
10.
Greenewald, Kristjan, et al.. (2019). Sample Efficient Active Learning of Causal Trees. DSpace@MIT (Massachusetts Institute of Technology). 32. 14279–14289. 3 indexed citations
11.
Bresler, Guy, et al.. (2018). Optimal Single Sample Tests for Structured versus Unstructured Network Data.. Conference on Learning Theory. 1657–1690. 1 indexed citations
12.
Bresler, Guy, et al.. (2016). Collaborative Filtering with Low Regret. DSpace@MIT (Massachusetts Institute of Technology). 207–220. 3 indexed citations
13.
Bresler, Guy. (2015). Efficiently Learning Ising Models on Arbitrary Graphs. 771–782. 48 indexed citations
14.
Bresler, Guy. (2014). Efficiently learning Ising models on high degree graphs.. arXiv (Cornell University). 1 indexed citations
15.
Bresler, Guy, David Gamarnik, & Devavrat Shah. (2014). Structure learning of antiferromagnetic Ising models. arXiv (Cornell University). 27. 2852–2860.
16.
Bresler, Guy, et al.. (2013). Optimal assembly for high throughput shotgun sequencing. BMC Bioinformatics. 14(S5). S18–S18. 40 indexed citations
17.
Motahari, Seyed Abolfazl, Guy Bresler, & David Tse. (2012). Information Theory of DNA Sequencing. arXiv (Cornell University). 9 indexed citations
18.
Bresler, Guy, Abhay Parekh, & David Tse. (2010). The Approximate Capacity of the Many-to-One and One-to-Many Gaussian Interference Channels. IEEE Transactions on Information Theory. 56(9). 4566–4592. 174 indexed citations
19.
Bresler, Guy & David Tse. (2008). The two‐user Gaussian interference channel: a deterministic view. European Transactions on Telecommunications. 19(4). 333–354. 146 indexed citations
20.
Bresler, Guy & Bruce Hajek. (2006). Note On Mutual Information and Orthogonal Space-Time Codes. 1315–1318. 5 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Bernhard Haeupler Breakdown of academic impact, for papers by Satish Babu Korada Breakdown of academic impact, for papers by Guangyue Han Breakdown of academic impact, for papers by Igor Bjelaković Breakdown of academic impact, for papers by Charles Bordenave Breakdown of academic impact, for papers by Takuya Okuyama Breakdown of academic impact, for papers by S. W. Golomb Breakdown of academic impact, for papers by Hiroki Koga Breakdown of academic impact, for papers by Michael J. Dinneen Breakdown of academic impact, for papers by Tomohiro Sonobe
Rankless by CCL
2026