Robert B. Gramacy

6.2k total citations · 1 hit paper
91 papers, 3.4k citations indexed

About

Robert B. Gramacy is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Robert B. Gramacy has authored 91 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Artificial Intelligence, 37 papers in Computational Theory and Mathematics and 22 papers in Management Science and Operations Research. Recurrent topics in Robert B. Gramacy's work include Gaussian Processes and Bayesian Inference (40 papers), Advanced Multi-Objective Optimization Algorithms (37 papers) and Optimal Experimental Design Methods (12 papers). Robert B. Gramacy is often cited by papers focused on Gaussian Processes and Bayesian Inference (40 papers), Advanced Multi-Objective Optimization Algorithms (37 papers) and Optimal Experimental Design Methods (12 papers). Robert B. Gramacy collaborates with scholars based in United States, United Kingdom and Venezuela. Robert B. Gramacy's co-authors include Herbert K. H. Lee, Daniel W. Apley, Matthew A. Taddy, Mickaël Binois, Nicholas G. Polson, Michael Ludkovski, Heng Lian, Leah R. Johnson, Marc Mangel and Daniel Merl and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and PLoS ONE.

In The Last Decade

Robert B. Gramacy

84 papers receiving 3.2k citations

Hit Papers

Surrogates 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert B. Gramacy United States 30 1.4k 1.1k 734 588 427 91 3.4k
M. Johnson United States 28 587 0.4× 943 0.8× 1.0k 1.4× 743 1.3× 751 1.8× 113 5.0k
Daniel W. Apley United States 30 738 0.5× 999 0.9× 621 0.8× 1.7k 2.9× 491 1.1× 135 4.8k
William I. Notz United States 22 672 0.5× 1.7k 1.5× 1.4k 1.9× 1.1k 1.9× 281 0.7× 48 3.4k
V. Roshan Joseph United States 31 641 0.5× 1.3k 1.1× 1.0k 1.4× 995 1.7× 354 0.8× 111 3.5k
L. H. Wasserman United States 15 1.6k 1.1× 466 0.4× 793 1.1× 405 0.7× 1.2k 2.7× 41 3.6k
Friedrich Pukelsheim Germany 28 502 0.4× 1.1k 1.0× 1.4k 1.8× 538 0.9× 562 1.3× 108 3.6k
Thomas J. Santner United States 33 1.0k 0.7× 1.4k 1.2× 1.8k 2.4× 1.3k 2.3× 2.1k 4.8× 105 6.5k
Alan Genz United States 24 574 0.4× 367 0.3× 653 0.9× 556 0.9× 1.2k 2.7× 55 3.6k
Herbert K. H. Lee United States 19 655 0.5× 608 0.5× 353 0.5× 328 0.6× 184 0.4× 47 1.5k
Michael Goldstein United Kingdom 26 640 0.5× 326 0.3× 417 0.6× 500 0.9× 423 1.0× 123 2.6k

Countries citing papers authored by Robert B. Gramacy

Since Specialization
Citations

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

Fields of papers citing papers by Robert B. Gramacy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert B. Gramacy. 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 Robert B. Gramacy. The network helps show where Robert B. Gramacy may publish in the future.

Co-authorship network of co-authors of Robert B. Gramacy

This figure shows the co-authorship network connecting the top 25 collaborators of Robert B. Gramacy. A scholar is included among the top collaborators of Robert B. Gramacy 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 Robert B. Gramacy. Robert B. Gramacy 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.
Park, Chiwoo, et al.. (2025). Active Learning of Piecewise Gaussian Process Surrogates. Technometrics. 68(1). 186–201.
2.
Gramacy, Robert B., et al.. (2025). Contour location for reliability in airfoil simulation experiments using deep Gaussian processes. The Annals of Applied Statistics. 19(1).
3.
Barnett, Stephen M., et al.. (2025). Monotonic warpings for additive and deep Gaussian processes. Statistics and Computing. 35(3).
4.
Gramacy, Robert B., et al.. (2025). Voronoi candidates for Bayesian optimization. Journal of Global Optimization. 94(1). 175–201.
5.
Franck, Christopher T. & Robert B. Gramacy. (2019). Assessing Bayes Factor Surfaces Using Interactive Visualization and Computer Surrogate Modeling. The American Statistician. 74(4). 359–369. 7 indexed citations
6.
Heaton, Matthew J., Abhirup Datta, Andrew O. Finley, et al.. (2018). A Case Study Competition Among Methods for Analyzing Large Spatial Data. Journal of Agricultural Biological and Environmental Statistics. 24(3). 398–425. 241 indexed citations
7.
Heaton, Matthew J., Abhirup Datta, Andrew O. Finley, et al.. (2017). Methods for Analyzing Large Spatial Data: A Review and Comparison. arXiv (Cornell University). 13 indexed citations
8.
Malone, Samuel W., Robert B. Gramacy, & Enrique ter Horst. (2016). Timing Foreign Exchange Markets. Econometrics. 4(1). 15–15. 4 indexed citations
9.
Gramacy, Robert B., et al.. (2015). Efficient Bayesian inference for natural time series using ARFIMA processes. Nonlinear processes in geophysics. 22(6). 679–700. 17 indexed citations
10.
Gramacy, Robert B., Genetha A. Gray, Sébastien Le Digabel, et al.. (2014). Modeling an Augmented Lagrangian for Improved Blackbox Constrained Optimization. PolyPublie (École Polytechnique de Montréal). 7 indexed citations
11.
Gramacy, Robert B., Shane T. Jensen, & Matt Taddy. (2013). Estimating player contribution in hockey with regularized logistic regression. Journal of Quantitative Analysis in Sports. 9(1). 97–111. 44 indexed citations
12.
Gramacy, Robert B. & Sébastien Le Digabel. (2011). The mesh adaptive direct search algorithm with treed Gaussian process surrogates. PolyPublie (École Polytechnique de Montréal). 1–19. 21 indexed citations
13.
Gramacy, Robert B. & Matthew A. Taddy. (2010). Categorical Inputs, Sensitivity Analysis, Optimization and Importance Tempering with tgp Version 2, an R Package for Treed Gaussian Process Models. SHILAP Revista de lepidopterología. 24 indexed citations
14.
Cule, Madeleine, Robert B. Gramacy, & Richard J. Samworth. (2009). LogConcDEAD: An R Package for Maximum Likelihood Estimation of a Multivariate Log-Concave Density. SHILAP Revista de lepidopterología. 5 indexed citations
15.
Gramacy, Robert B., et al.. (2009). MCMC Methods for Bayesian Mixtures of Copulas. International Conference on Artificial Intelligence and Statistics. 512–519. 8 indexed citations
16.
Merl, Daniel, Leah R. Johnson, Robert B. Gramacy, & Marc Mangel. (2009). A Statistical Framework for the Adaptive Management of Epidemiological Interventions. PLoS ONE. 4(6). e5807–e5807. 33 indexed citations
17.
Gramacy, Robert B. & Herbert K. H. Lee. (2008). Adaptive design of supercomputer experiments. arXiv (Cornell University). 12 indexed citations
18.
Gramacy, Robert B., Richard J. Samworth, & Ruth King. (2008). Importance tempering. Statistics and Computing. 20(1). 1–7. 31 indexed citations
19.
Gramacy, Robert B.. (2007). tgp: An R Package for Bayesian Nonstationary, Semiparametric Nonlinear Regression and Design by Treed Gaussian Process Models. SHILAP Revista de lepidopterología. 10 indexed citations
20.
Gramacy, Robert B., Manfred K. Warmuth, Scott Brandt, & İsmail Arı. (2002). Adaptive Caching by Refetching. Neural Information Processing Systems. 15. 1489–1496. 35 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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