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Robert B. Gramacy

Robert B. Gramacy

Virginia Tech
United States

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 42 6587 6360 1805 1674 126 6824

Robert B. Gramacy publications per year

The chart shows the history of publications by Robert B. Gramacy between 2001 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Robert B. Gramacy published across 26 years, from 2001 to 2026, averaging 6.5 papers a year. Output peaked at 21 publications in 2020. 14 of the 169 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 2001 to 2026. Vertical axis: number of publications, 0 to 21. Peak 21 publications in 2020. 2001: 1 publication 2002: 2 publications 2003: 1 publication 2004: 1 publication 2005: 1 publication 2006: 2 publications 2007: 2 publications 2008: 3 publications 2009: 5 publications 2010: 7 publications 2011: 7 publications 2012: 8 publications 2013: 15 publications 2014: 9 publications 2015: 5 publications 2016: 14 publications 2017: 6 publications 2018: 6 publications 2019: 6 publications 2020: 21 publications 2021: 13 publications 2022: 6 publications 2023: 8 publications 2024: 6 publications 2025: 12 publications 2026: 2 publications
2001 2026

169 publications in total across all disciplines

View publications per year as a table
Robert B. Gramacy: publications per year, 2001 to 2026
Year Publications
2001 1
2002 2
2003 1
2004 1
2005 1
2006 2
2007 2
2008 3
2009 5
2010 7
2011 7
2012 8
2013 15
2014 9
2015 5
2016 14
2017 6
2018 6
2019 6
2020 21
2021 13
2022 6
2023 8
2024 6
2025 12
2026 2
Total 169
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Robert B. Gramacy publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Robert B. Gramacy sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: publications, 38–47 to 804+. Vertical axis: number of scientists, 0 to 457. Most scientists, 457, have 148–157 publications. The last bar groups every scientist with 804 publications or more. The highlighted bar, 118–127 publications, is where this scientist sits. 38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38–47 publications 804+

This scientist: 126 publications — 17th percentile

17% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

View publications distribution as a table
Number of Engineering and Technology scientists by publication count, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
Publications Scientists This scientist
38–47 20
48–57 35
58–67 96
68–77 135
78–87 190
88–97 259
98–107 283
108–117 369
118–127 341 126
128–137 386
138–147 372
148–157 457
158–167 415
168–177 407
178–187 421
188–197 378
198–207 403
208–217 317
218–227 346
228–237 321
238–247 260
248–257 280
258–267 240
268–277 214
278–287 242
288–297 203
298–307 166
308–317 154
318–327 175
328–337 159
338–347 99
348–357 131
358–367 106
368–377 118
378–387 97
388–397 108
398–407 82
408–417 71
418–427 64
428–437 55
438–447 54
448–457 60
458–467 47
468–477 40
478–487 30
488–497 29
498–507 38
508–517 40
518–527 32
528–537 23
538–547 28
548–557 23
558–567 19
568–577 16
578–587 17
588–597 18
598–607 22
608–617 15
618–627 9
628–637 11
638–647 21
648–657 12
658–667 9
668–677 11
678–687 9
688–697 6
698–707 14
708–717 7
718–727 8
728–737 10
738–747 9
748–757 5
758–767 5
768–777 11
778–787 7
788–797 2
798–803 4
804+ 100
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Robert B. Gramacy D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Robert B. Gramacy sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: D-Index, 30 to 107+. Vertical axis: number of scientists, 0 to 426. Most scientists, 426, have 42 D-Index. The last bar groups every scientist with 107 D-Index or more. The highlighted bar, 42 D-Index, is where this scientist sits. 30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 42 D-Index — 35th percentile

35% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

View D-Index distribution as a table
Number of Engineering and Technology scientists by D-index, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
D-Index Scientists This scientist
30 59
31 114
32 129
33 189
34 200
35 262
36 311
37 312
38 350
39 385
40 348
41 362
42 426 42
43 380
44 310
45 341
46 301
47 306
48 271
49 246
50 210
51 253
52 213
53 221
54 195
55 186
56 170
57 167
58 166
59 144
60 152
61 141
62 138
63 131
64 118
65 114
66 119
67 95
68 87
69 77
70 89
71 69
72 54
73 46
74 55
75 54
76 49
77 53
78 46
79 28
80 39
81 36
82 24
83 26
84 36
85 18
86 25
87 19
88 26
89 27
90 23
91 15
92 12
93 9
94 15
95 10
96 13
97 13
98 9
99 7
100 7
101 8
102 7
103 7
104 9
105 6
106 9
107+ 99
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Research.com Recognitions

  • 2020 - Fellow of the American Statistical Association (ASA)

Overview

Robert B. Gramacy is affiliated with Virginia Tech in the United States. Their research primarily focuses on computer science, with significant contributions in areas such as artificial intelligence, computational theory and mathematics, management science and operations research, statistics, probability and uncertainty, and environmental engineering.

The scientist's main topics of work include advanced multi-objective optimization algorithms, Gaussian processes and Bayesian inference, optimal experimental design methods, probabilistic and robust engineering design, soil geostatistics and mapping, machine learning and data classification, and fault detection and control systems.

Robert B. Gramacy has published extensively, with notable papers including:

  • "Analyzing Stochastic Computer Models: A Review with Opportunities," 2022, Statistical Science
  • "hetGP: Heteroskedastic Gaussian Process Modeling and Sequential Design in R," 2021, Journal of Statistical Software
  • "Vecchia-Approximated Deep Gaussian Processes for Computer Experiments," 2022, Journal of Computational and Graphical Statistics
  • "Traditional kriging versus modern Gaussian processes for large-scale mining data," 2023, Statistical Analysis and Data Mining The ASA Data Science Journal
  • "Entropy-based adaptive design for contour finding and estimating reliability," 2022, Journal of Quality Technology

The scientist has collaborated frequently with several co-authors, including Annie S. Booth, Leah R. Johnson, Ryan B. Christianson, Mickaël Binois, and Annie Sauer.

Robert B. Gramacy has contributed to a range of publication venues, with frequent appearances in:

  • arXiv (Cornell University)
  • Technometrics
  • The Annals of Applied Statistics
  • Statistical Analysis and Data Mining The ASA Data Science Journal
  • Statistics and Computing

In 2020, they were named a Fellow of the American Statistical Association (ASA).

Best Publications

  • Bayesian Treed Gaussian Process Models With an Application to Computer Modeling

    Robert B Gramacy;Herbert K. H Lee

  • Local Gaussian Process Approximation for Large Computer Experiments

    Robert B. Gramacy;Daniel W. Apley

  • Cases for the nugget in modeling computer experiments

    Robert B. Gramacy;Herbert K. Lee

  • Adaptive Design and Analysis of supercomputer Experiments.

    Robert B. Gramacy;Herbert K. H. Lee

  • tgp: An R Package for Bayesian Nonstationary, Semiparametric Nonlinear Regression and Design by Treed Gaussian Process Models

    Robert B. Gramacy

  • Practical Heteroscedastic Gaussian Process Modeling for Large Simulation Experiments

    Mickael Binois;Robert B. Gramacy;Michael Ludkovski

  • Importance tempering

    Robert Gramacy;Richard Samworth;Ruth King

  • Optimization Under Unknown Constraints

    R B Gramacy;Lee Hkh.;C Holmes;M Osborne

  • Categorical Inputs, Sensitivity Analysis, Optimization and Importance Tempering with tgp Version 2, an R Package for Treed Gaussian Process Models

    Robert B. Gramacy;Matthew Alan Taddy

  • laGP: Large-Scale Spatial Modeling via Local Approximate Gaussian Processes in R

    Robert B. Gramacy

  • Modeling an Augmented Lagrangian for Blackbox Constrained Optimization

    Robert B. Gramacy;Genetha A. Gray;Sébastien Le Digabel;Herbert K. H. Lee

  • amei: An R Package for the Adaptive Management of Epidemiological Interventions

    Daniel Merl;Leah R. Johnson;Robert B. Gramacy;Marc Mangel

  • Dynamic Trees for Learning and Design

    Matthew A. Taddy;Robert B. Gramacy;Nicholas G. Polson

  • Particle Learning of Gaussian Process Models for Sequential Design and Optimization

    Robert B. Gramacy;Nicholas G. Polson

  • ACME: Adaptive Caching Using Multiple Experts

    Ismail Ari;Ahmed Amer;Robert B. Gramacy;Ethan L. Miller

  • Replication or Exploration? Sequential Design for Stochastic Simulation Experiments

    Mickaël Binois;Jiangeng Huang;Robert B. Gramacy;Mike Ludkovski

  • Bayesian treed gaussian process models

    Robert B. Gramacy;Herbert K. Lee

  • Surrogates: Gaussian Process Modeling, Design, and Optimization for the Applied Sciences

    Robert B. Gramacy

  • Gaussian Process Single-Index Models as Emulators for Computer Experiments.

    Robert B. Gramacy;Heng Lian

  • Parameter space exploration with Gaussian process trees

    Robert B. Gramacy;Herbert K. H. Lee;William G. Macready

  • Adaptive Caching by Refetching

    Robert B. Gramacy;Manfred K Warmuth;Scott A. Brandt;Ismail Ari

Frequent Co-Authors

Christian Franzke
Christian Franzke Universität Hamburg
Stefan M. Wild
Stefan M. Wild Lawrence Berkeley National Laboratory
Nicholas G. Polson
Nicholas G. Polson University of Chicago
Sadie J. Ryan
Sadie J. Ryan University of Florida
Garth N. Wells
Garth N. Wells University of Cambridge
Douglas Nychka
Douglas Nychka Colorado School of Mines
Jason R. Rohr
Jason R. Rohr University of Notre Dame
Len Thomas
Len Thomas University of St Andrews
Stephen T. Buckland
Stephen T. Buckland University of St Andrews
Rita R. Colwell
Rita R. Colwell University of Maryland, College Park

External Links

Personal website of Robert B. Gramacy Google Scholar page

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David B. Dunson

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