Botond Szabó

870 total citations
22 papers, 398 citations indexed

About

Botond Szabó is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Botond Szabó has authored 22 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Statistics and Probability, 10 papers in Artificial Intelligence and 4 papers in Statistics, Probability and Uncertainty. Recurrent topics in Botond Szabó's work include Statistical Methods and Inference (16 papers), Statistical Methods and Bayesian Inference (4 papers) and Gaussian Processes and Bayesian Inference (4 papers). Botond Szabó is often cited by papers focused on Statistical Methods and Inference (16 papers), Statistical Methods and Bayesian Inference (4 papers) and Gaussian Processes and Bayesian Inference (4 papers). Botond Szabó collaborates with scholars based in Netherlands, Italy and Hungary. Botond Szabó's co-authors include Aad van der Vaart, J. H. van Zanten, Stéphanie van der Pas, András Zempléni, István Gy. Zsély, Tamás Turányi, Henry J. Curran, Tibor Nagy, Tamás Varga and Péter Kiss and has published in prestigious journals such as IEEE Transactions on Information Theory, The Annals of Statistics and Frontiers in Neuroscience.

In The Last Decade

Botond Szabó

22 papers receiving 386 citations

Peers

Botond Szabó

FFTP

SPU

Simon Mak United States

Elwood T. Olsen United States

Jonas Latz United Kingdom

Kei Takeuchi Japan

Lubomı́r Kubáček Czechia

Jianming Ye China

Elizabeth Eskow United States

G. Sidhu Canada

Nikolay V. Smirnov Russia

Jürgen Lehn Germany

Simon Mak United States

Botond Szabó

57 ×0.3

104 ×0.8

15 ×0.1

FFTP

44 ×0.4

81 ×1.2

SPU

Citations per year, relative to Botond Szabó Botond Szabó (= 1×) peers Simon Mak

Countries citing papers authored by Botond Szabó

Since Specialization

Citations

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

Fields of papers citing papers by Botond Szabó

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Botond Szabó

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

All Works

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20 of 20 papers shown

Fokkema, Marjolein, et al.. (2024). View selection in multi-view stacking: choosing the meta-learner. Advances in Data Analysis and Classification. 19(3). 579–617. 1 indexed citations

Durante, Daniele, et al.. (2024). Skewed Bernstein–von Mises theorem and skew-modal approximations. The Annals of Statistics. 52(6). 3 indexed citations

Szabó, Botond, et al.. (2023). Optimal high-dimensional and nonparametric distributed testing under communication constraints. The Annals of Statistics. 51(3). 2 indexed citations

Szabó, Botond, et al.. (2023). Uncertainty quantification for sparse spectral variational approximations in Gaussian process regression. Electronic Journal of Statistics. 17(2). 1 indexed citations

Szabó, Botond & Harry van Zanten. (2022). Distributed function estimation: Adaptation using minimal communication. 5(3). 159–199. 3 indexed citations

Vos, Frank de, Marjolein Fokkema, Botond Szabó, et al.. (2022). Analyzing Hierarchical Multi-View MRI Data With StaPLR: An Application to Alzheimer's Disease Classification. Frontiers in Neuroscience. 16. 830630–830630. 3 indexed citations

Szabó, Botond, et al.. (2022). Optimal Distributed Composite Testing in High-Dimensional Gaussian Models With 1-Bit Communication. IEEE Transactions on Information Theory. 68(6). 4070–4084. 3 indexed citations

Szabó, Botond, et al.. (2021). Can we trust Bayesian uncertainty quantification from Gaussian process priors with squared exponential covariance kernel?. Leiden Repository (Leiden University). 5 indexed citations

Szabó, Botond, et al.. (2019). Debiased Bayesian inference for average treatment effects. arXiv (Cornell University). 32. 11952–11962. 2 indexed citations

10.

Szabó, Botond & Harry van Zanten. (2019). An asymptotic analysis of distributed nonparametric methods. 20(87). 1–30. 10 indexed citations

11.

Pas, Stéphanie van der, Botond Szabó, & Aad van der Vaart. (2017). Adaptive posterior contraction rates for the horseshoe. Electronic Journal of Statistics. 11(2). 24 indexed citations

12.

Pas, Stéphanie van der, Botond Szabó, & Aad van der Vaart. (2017). Uncertainty Quantification for the Horseshoe (with Discussion). Bayesian Analysis. 12(4). 36 indexed citations

13.

Pas, Stéphanie van der, Botond Szabó, & Aad van der Vaart. (2016). How many needles in the haystack? Adaptive inference and uncertainty quantification for the horseshoe. arXiv (Cornell University). 1 indexed citations

14.

Nickl, Richard & Botond Szabó. (2016). A sharp adaptive confidence ball for self-similar functions. Stochastic Processes and their Applications. 126(12). 3913–3934. 9 indexed citations

15.

Szabó, Botond, et al.. (2015). Bayes procedures for adaptive inference in inverse problems for the white noise model. Probability Theory and Related Fields. 164(3-4). 771–813. 30 indexed citations

16.

Szabó, Botond, Aad van der Vaart, & J. H. van Zanten. (2015). Rejoinder to discussions of “Frequentist coverage of adaptive nonparametric Bayesian credible sets”. The Annals of Statistics. 43(4). 2 indexed citations

17.

Szabó, Botond, Aad van der Vaart, & J. H. van Zanten. (2015). Frequentist coverage of adaptive nonparametric Bayesian credible sets. The Annals of Statistics. 43(4). 54 indexed citations

18.

Szabó, Botond, Aad van der Vaart, & Harry van Zanten. (2014). Honest Bayesian confidence sets for theL2-norm. Journal of Statistical Planning and Inference. 166. 36–51. 10 indexed citations

19.

Turányi, Tamás, Tibor Nagy, István Gy. Zsély, et al.. (2012). Determination of rate parameters based on both direct and indirect measurements. International Journal of Chemical Kinetics. 44(5). 284–302. 128 indexed citations

20.

Szabó, Botond, et al.. (2011). Numerical investigation of the uncertainty of Arrhenius parameters. Journal of Mathematical Chemistry. 49(8). 1798–1809. 15 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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