Robert B. Gramacy
Impact in
-
- Probabilistic and Robust Engineering Design
- Computational Theory and Mathematics top 0.2%
- Advanced Multi-Objective Optimization Algorithms
Papers in
-
- Gaussian Processes and Bayesian Inference 40
- Bayesian Methods and Mixture Models 8
- Machine Learning and Algorithms 7
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- Advanced Multi-Objective Optimization Algorithms 37
- Co-authors
- Herbert K. H. Lee (9 shared papers)Daniel W. Apley (1 shared paper)Matthew A. Taddy (3 shared papers)Mickaël Binois (7 shared papers)Nicholas G. Polson (3 shared papers)Michael Ludkovski (3 shared papers)Heng Lian (2 shared papers)Leah R. Johnson (6 shared papers)
- Journals
- Technometrics (11 papers)Journal of Statistical Software (6 papers)Statistics and Computing (4 papers)Journal of Computational and Graphical Statistics (4 papers)The Annals of Applied Statistics (4 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Robert B. Gramacy
85 papers receiving 3.3k citations
Robert B. Gramacy's Hit Papers
Peers
Comparison fields: 5 of 169
- Statistics, Probability and Uncertainty 592
- Computational Theory and Mathematics 1.2k
- Management Science and Operations Research 745
- Statistics and Probability 442
- Artificial Intelligence 1.4k
Countries citing papers authored by Robert B. Gramacy
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
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-authors
The 25 scholars most cited alongside Robert B. Gramacy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 410 | |
| 2 | Surrogates Hit paper breakdown → | 2020 | 279 |
| 3 | 2018 | 247 | |
| 4 | 2014 | 221 | |
| 5 | 2010 | 186 | |
| 6 | 2009 | 162 | |
| 7 | 2007 | 141 | |
| 8 | 2016 | 105 | |
| 9 | 2018 | 101 | |
| 10 | 2010 | 96 | |
| 11 | 2010 | 93 | |
| 12 | 2015 | 85 | |
| 13 | 2011 | 62 | |
| 14 | 2018 | 62 | |
| 15 | 2011 | 60 | |
| 16 | ACME: Adaptive Caching Using Multiple Experts | 2002 | 53 |
| 17 | 2012 | 52 | |
| 18 | 2012 | 50 | |
| 19 | 2015 | 48 | |
| 20 | 2004 | 48 |
About Robert B. Gramacy
Robert B. Gramacy is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Management Science and Operations Research, Statistics and Probability and Statistics, Probability and Uncertainty, having authored 91 papers that have together received 3.5k indexed citations. Recurring topics across this work include Gaussian Processes and Bayesian Inference (40 papers), Advanced Multi-Objective Optimization Algorithms (37 papers), Optimal Experimental Design Methods (12 papers), Probabilistic and Robust Engineering Design (10 papers), Statistical Methods and Inference (8 papers), Bayesian Methods and Mixture Models (8 papers), Machine Learning and Algorithms (7 papers) and Scientific Research and Discoveries (5 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (592 citations), Computational Theory and Mathematics (1.2k citations), Management Science and Operations Research (745 citations), Statistics and Probability (442 citations) and Artificial Intelligence (1.4k citations). Robert B. Gramacy has collaborated with scholars based in United States, United Kingdom and Canada. Frequent 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, Daniel Merl and Marc Mangel. Their work appears in journals such as Technometrics, Journal of Statistical Software, Statistics and Computing, Journal of Computational and Graphical Statistics and The Annals of Applied Statistics.
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.